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Company: Alicja Models – Model & Talent Agency

Location: Hybrid (Chicago)

Position Type: Part-Time (with potential to grow)

Alicja Models is a Chicago-based modeling and talent agency representing models and talent across major markets in the United States. We are dedicated to discovering, developing, and representing talent across the fashion, commercial, and entertainment industries. Our agency focuses not only on representation but also on professional development and long-term career growth for the individuals we represent.

Role Description

We are currently seeking a Talent Onboarding & Booking Assistant to support the agency with talent interviews, onboarding, submissions, booking schedules, and administrative coordination.

This is a hybrid position, primarily remote with occasional in-person involvement and training at our Chicago office. The role is ideal for someone who is highly organized, communicative, a fast learner, and comfortable working both independently and collaboratively within a team environment.

The ideal candidate will have an interest in or experience within: the modeling and fashion industry, talent management, or related industries such as events, hospitality, or entertainment.

Qualifications

• Strong communication and customer service skills to interact effectively with clients, talent, and team members
• Experience working with booking systems, scheduling, or talent coordination is a plus
• Excellent attention to detail and organizational skills with the ability to manage multiple responsibilities
• Professional and confident communication when interacting with new talent
• Comfort working in a fast-paced creative industry environment
• Candidates must be comfortable using computers and digital tools, including:

Email communication, Booking and scheduling systems, Document management and e-signature platforms, Zoom for interviews and meetings, Google Workspace (Google Docs, Sheets, Drive, etc.)

Key Responsibilities:

Talent Onboarding

• Conduct Zoom interviews with new model applicants
• Guide selected talent through the agency onboarding process
• Maintain organized records of new talent

Booking & Submissions

• Assist with model submissions to clients and castings
• Track casting responses and booking confirmations
• Maintain updated talent portfolios and digital profiles

Administrative Support

• Coordinate schedules for interviews and meetings
• Organize agency documents and talent databases

Event & Project Coordination

• Support planning and coordination of agency events, castings, and projects
• Assist with logistics and communication with talent

What We Offer

• Opportunity to work with a growing modeling and talent agency
• Flexible hours and hybrid work structure
• Involvement in discovering and developing new talent
• A creative and collaborative environment

Battery Pack CAE Model Build Engineer (Safety, Durability & NVH)

Irvine, CA

Onsite

C2C

Must Have Skills: Battery Pack CAE Model Design& develop, ANSA, Meshing,

Preferred: LS-Dyna, Optistruct, Nastran, Abaqus

Role Objective:

Deploy one (1) engineer to provide full vehicle CAE model build and ongoing support for battery pack CAE models across Structural Safety, Durability, and NVH domains. The engineer will build, update, debug, and deliver analysis-ready battery pack models integrated to the vehicle BIW, in accordance with Purchaser-provided standards for numbering, mesh criteria, and joining methodology.

Key Responsibilities / Scope of Services

Develop and maintain battery pack CAE models for each major build release including:

Durability models in Abaqus or OptiStruct template (per Purchaser requirement).

LS-DYNA durability sub-models for the battery system (e.g., Ground Strike, Top Strike).

NVH structural battery models in OptiStruct, including full pack content and BIW integration.

Structural Safety LS-DYNA crash models (homogenized sub-assemblies and/or higher fidelity per program phase).

Build full battery model content as required (structure, plastics, HV network, adhesives, potting) and connect to BIW using subsystem include files and master connection files (including BIW-to-subsystem connection files).

Ensure subsystems are massed per BOM; represent non-modeled content using NSM cards / mass elements and manage trimmed mass and CoG targets as required.

Implement joining representations per Purchaser standards (weld/bond/bolt); represent major bolted joints with solid bolt models and preload where required.

Deliver 0 ms LS-DYNA model debugged to pass error-free model checks; include required instrumentation (force X-sections on major load paths, accelerometers at specified locations).

Support high-fidelity explicit pack models as requested (e.g., cells, cooling plates/features, busbars, vents) and provide de-contented variants when required.

Delivery & Reporting Requirements

Deliver models in compliance with the Purchaser Model Checklist and provide a Seller delivery checklist confirming model run-readiness and documenting any deviations.

Report with each full vehicle CAE model delivery: global energy, mass scaling, and total model mass (as applicable to the domain).

Maintain consistent mesh quality and alignment across domains where required.

Minimum Qualifications (Deployed Engineer)

Demonstrated experience building vehicle CAE models, with battery pack focus preferred.

Proficiency in LS-DYNA, OptiStruct, and Abaqus (as applicable) including model assembly, BIW integration, connections/includes, and debugging.

Strong capability in mesh quality, BOM massing/NSM, joints modeling (weld/bond/bolt), and checklist-driven delivery discipline.

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on three therapeutic areas and other targeted investments, we push the boundaries of what is possible to bring life-changing therapies to patients worldwide.

The AI/ML organization at Takeda is building a team to transform how medicines are discovered. Our goal is to apply AI and machine learning across the entire drug discovery process, not just isolated steps, but as an integrated approach from target identification through development. This requires discernment: knowing which models and methods fit each problem, and the creativity to adapt when they don't. We work with foundational models, generative approaches, and autonomous systems, but the tools only matter when paired with people who understand the science deeply enough to use them well. Our team brings together computational scientists, biologists, engineers, and drug hunters. If you want to contribute your expertise to hard problems alongside colleagues with different perspectives and help shape how AI delivers real impact in drug discovery, we'd like to hear from you.

Position Overview:

We are seeking Scientists to develop and deploy foundational AI models that will transform drug discovery across Takeda. As part of the AI/ML Foundation team, you will build large-scale models including large language models (LLMs), diffusion models, and multimodal architectures that integrate diverse data types—omics, biomedical imaging, protein 3D structures, and molecular representations. This role requires deep expertise in modern deep learning architectures combined with foundational knowledge of biology, chemistry, and disease biology to ensure models are scientifically grounded and impactful. You will train models from scratch, fine-tune pre-trained models for Takeda-specific applications, and deploy foundation model capabilities that accelerate discovery across all therapeutic platforms.

Accountabilities:

• Develop and train foundational AI models (LLMs, diffusion models, flow-matching architectures) for drug discovery applications, with capability to pre-train on large-scale scientific corpora and molecular datasets.
• Fine-tune and adapt pre-trained foundation models (protein language models, chemical LLMs, vision transformers) for Takeda-specific applications in target identification, disease modeling, and molecular design and discovery.
• Build multimodal foundation models integrating diverse data types including omics (genomics, transcriptomics, proteomics), biomedical imaging, protein 3D structures, and molecular representations.
• Apply and extend state-of-the-art approaches including graph neural networks, transformer-based protein language models, and multimodal learning frameworks.
• Apply domain expertise in biology, chemistry, and/or disease biology to guide model architecture decisions, training data curation, and evaluation strategies ensuring scientific validity.
• Implement state-of-the-art generative architectures (diffusion, score-based models, autoregressive transformers) for molecular generation, protein design, and multi-objective optimization.
• Collaborate with computational scientists across domains to deploy foundation models that address diverse discovery needs across small molecules, biologics, and emerging modalities.
• Stay current with advances in foundation models, generative AI, and multimodal learning; contribute to internal knowledge sharing and external publications.

Education & Requirements:

• PhD in Computer Science, Machine Learning, Computational Biology, Bioinformatics, or related field or MS with 6+ years relevant experience, or BS with 8+ years relevant experience
• Deep expertise in modern deep learning architectures including transformers, diffusion models, and/or generative models.
• Strong experience training large-scale models with proficiency in PyTorch and distributed training frameworks.
• Foundational knowledge of biology, chemistry, or disease biology sufficient to guide scientifically meaningful model development.
• Experience with at least one of: protein language models (ESM, ProtTrans), molecular generative models, or biomedical vision models.
• Experience with cloud computing (AWS, GCP) and GPU cluster training at scale.

Preferred:

• Experience building or fine-tuning foundation models in pharmaceutical or life sciences settings.
• Expertise in multimodal learning integrating text, images, and structured molecular data.
• Experience with omics data analysis (genomics, transcriptomics, proteomics) and knowledge graph
• Familiarity with protein structure prediction and 3D molecular representations.
• Publications in top-tier ML venues (NeurIPS, ICML, ICLR) or computational biology journals.
• Experience with model compression, efficient inference, or production deployment of large models.
• Strong background in large-scale data integration and multimodal modeling for biological systems.
• Proficiency in Python and ML libraries (PyTorch, TensorFlow, scikit-learn); familiarity with Unix tools.
• Excellent collaboration and communication skills.

ADDITIONAL INFORMATION

• The position will be based in Cambridge, MA

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

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Job Exempt

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At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

Raytheon engineers develop the next generation of defense technologies that support our military and protect our nation and allies. We are the world’s leader in developing cutting edge defense technologies through simulation-driven virtual environments. Our software products empower the next generation of innovative weapons systems and advanced AI/ML solutions.

We’re looking for a Principal Systems Engineer - Modeling Simulation & Analysis Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn.

As a Principal Systems Engineer - Modeling Simulation & Analysis Engineer , you will participate in challenging multi-disciplinary work across integrated product teams consisting of Guidance, Navigation & Control (GNC), Signal Processing and missile-and-sensor-level Performance Simulations. Our Performance Simulation teams provide, develop, and maintain high fidelity performance simulations, evaluate system performance, support new business initiatives and develop & execute technology roadmaps. This is an Onsite role in Tucson, AZ

What You will Do

• You will create high fidelity simulations and models for missile design, performance assessment, and flight test support
• You will be responsible for the development and implementation of modeling solutions, and subsequently conduct trade studies and evaluation of system and subsystem performance
• You will work in a team environment, receiving input from the team supervisors and providing guidance and/or direction to other team members
• You will collaborate with Guidance, Navigation & Control (GNC), Signal Processing, and other performance personnel to perform simulation activities according to the program schedule
• You will work on different projects, determine, and develop approaches and solutions, and provide development guidance throughout the product lifecycle from initial concept to fielded product
• You will provide technical expertise for the simulation products of a specific program, and assist Senior Modeling Engineers in the preparation of detailed plans, and may interact with government counterparts as an authority on simulation products

Qualifications You Must Have

• Typically requires a Bachelor’s degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 5 years of relevant prior experience
• Experience applying object-oriented software design in C++, C, and using MATLAB or Python for evaluation of data sets
• Experience developing or simulating physical systems
• Experience in modeling, simulation, statistics, or analysis for existing or proposed engineering solutions
• Experience as a Functional and/or Technical lead within an engineering environment
• Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Qualifications We Prefer

• Advanced Degree in Engineering, Science, Mathematics, or related STEM degree
• Leadership experience managing others using applied system engineering principles, experience working on a team and by yourself, interfacing with multiple engineering disciplines
• Experience creating and/or presenting technical briefings
• Experience developing signal processing / GNC algorithms or models for missile applications
• Experience with control hardware design & test and/or hardware & software integration
• Experience modeling physics and/or modeling physical systems as related to flight dynamics
• Experience using UNIX / Linux based workstations and using Software Configuration Management tools such as Git
• Course work or experience in some of the following fields: radar, signal & image processing, radar and/or EO/IR environment models, digital communications, probability and statistics, linear algebra, estimation theory, optimal control, system architecture, inertial navigation, guidance theory

What We Offer

• Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

• Relocation Eligible – relocation assistance available for this position

Learn More & Apply Now!

• Please consider the following role type definition as you apply for this role . Onsite : Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

• This position requires onsite work in Tucson, AZ:

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

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Our client, a well-known men's and women's apparel company, is looking for an Anaplan Model Builder to join their Miami, FL team!

Key Responsibilities

• Solution Design & Architecture: Act as the subject matter expert (SME) for the Anaplan platform, leading the end-to-end design and architecture of complex, multi-dimensional Anaplan models (including the Data Hub) to support critical business processes such as Merchandise Financial Planning, Assortment Planning, Sales Forecasting, Supply Planning, and Financial Planning & Analysis (FP&A).
• Business Partnership: Collaborate with business stakeholders across all levels to gather, document, and analyze requirements, translating them into scalable and efficient technical designs and user stories.
• Model Building and Development: Design, build, test, and deploy Anaplan models following Anaplan best practices (e.g., DISCO) and architectural standards.
• Data Integration: Oversee and manage data integration strategies (both inbound and outbound) between Anaplan and source systems (e.g., ERP, CRM, data warehouses) using tools like Anaplan Connect or related integration technologies, ensuring data accuracy and timeliness.
• Optimization & Governance: Continuously review, enhance, and optimize existing Anaplan models for performance, maintainability, and scalability. Lead the implementation of Application Lifecycle Management (ALM) and maintain model governance and security.
• Leadership & Training: Provide technical leadership to development teams (internal and/or external) and mentor junior model builders. Develop and deliver training programs to drive end-user adoption and proficiency.
• Documentation: Create and maintain comprehensive documentation, including detailed architectural blueprints, process flows, model schematics, and functional specifications.

Required Qualifications

• Education: Bachelor's degree in Information Technology, Computer Science, Finance, Business Administration, or a related highly analytical field.
• Experience:
• 5+ years of total experience in Enterprise Performance Management (EPM) or Business Intelligence.
• 3+ years of direct, hands-on experience in Anaplan model design, development, and implementation, ideally in a Solution Architect or Lead Developer capacity.
• Certifications: Certified Anaplan Model Builder (Level 2/3) is required; Anaplan Solution Architect or Master Anaplanner certification is highly preferred.
• Functional Knowledge: Strong understanding of retail, apparel, or consumer goods industry business processes, with specific expertise in Merchandise Planning and/or Supply Chain Planning is a significant advantage.
• Technical Skills:
• Expert proficiency in building, maintaining, and optimizing Anaplan models, including deep knowledge of modules, lists, line items, and complex calculations.
• Advanced experience with data integration concepts and tools.
• Proficiency in financial modeling, retail math, and Microsoft Excel.
• Soft Skills: Excellent verbal and written communication, presentation, and stakeholder management skills. Proven ability to lead solution-focused discussions and drive consensus.

Preferred Skills

• Experience with other planning systems (e.g., Oracle EPM).
• Familiarity with Agile development methodologies.
• Knowledge of scripting languages or API integrations (e.g., REST APIs, Python).

You can use to collect and manage your references for free and share them with us or anyone else you choose. Candidates with references are always preferred by our clients. Now is the most important time to stand out from the crowd. We suggest that you ensure you have updated your LinkedIn profile and that you start collecting your references early.

At Trinity Consultants, we are dedicated to providing high-quality environmental consulting services to our clients. Our Cleveland office is seeking a motivated and enthusiastic individual to join our team as an Entry-Level Air Dispersion Modeler. We pride ourselves on fostering a team-oriented work environment where collaboration, professional growth, and extreme client service are highly valued.

Position Overview:

As an Entry-Level Air Dispersion Modeler, you will play a crucial role in supporting clients and our air quality team. This position offers an excellent opportunity for recent graduates or individuals new to the field to develop their skills and gain hands-on experience in air dispersion modeling and environmental consulting.

Responsibilities:

1. Assist in the preparation and execution of air dispersion modeling studies using EPA-approved models (e.g., AERMOD, CALPUFF, ISCST3).
2. Analyze impacts of accidental releases using specialized models and ambient monitoring equipment.
3. Conduct emissions calculations and data analysis to support air quality permit applications and compliance assessments.
4. Collaborate with project teams to gather and analyze environmental data, prepare technical reports, and communicate findings effectively.
5. Learn and apply federal, state, and local air quality regulations and guidelines.
6. Participate in field studies and site visits as needed to collect data and verify modeling inputs.

Qualifications:

1. Bachelor’s degree in Atmospheric Science, Environmental Science, Environmental Engineering, or a related field.
2. Strong interest in air quality and environmental issues.
3. Familiarity with air dispersion modeling concepts and software tools is a plus but not required.
4. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
5. Excellent analytical skills and attention to detail.
6. Ability to work collaboratively in a team environment and independently when required.
7. Effective verbal and written communication skills.

Preferred Qualifications:

1. Internship or coursework related to air quality, environmental compliance, or air dispersion modeling is a plus but not required.
2. Knowledge of programming languages (e.g., Python, R) for data analysis is advantageous.
3. Experience with GIS software (e.g., ArcGIS) is a plus.

Benefits:

1. Competitive salary and performance-based bonuses.
2. Comprehensive benefits package including medical, dental, vision, and life insurance.
3. 401(k) retirement plan with company match.
4. Paid time off and holidays.
5. Professional development opportunities and support for continuing education.

Application Process:

To apply for the Entry-Level Air Dispersion Modeler position, please submit a resume and cover letter highlighting your qualifications and interest in the role. We look forward to reviewing your application and discussing how you can contribute to our team at Trinity Consultants.

Open date: February 26, 2026

Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Saturday, Mar 28, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for a Professional Researcher at the Assistant, Associate, or Full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The researcher will conduct independent research at a level comparable to the Professor series.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.

As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.

Key Responsibilities:

*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.

*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.

*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.

*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.

*Publish research findings in high-impact journals and presenting at scientific conferences.

*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.

*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).

*Advise on applications of these tools for biological imaging; collaborate with graduate students, postdoctoral fellows and academic research titles on specific projects to test, learn and implement for general and specific use cases.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.

*Organize and plan on the design and development of new AI techniques to further ABC's mission.

Lab:

PhD (or equivalent international degree)

Two (2) years of post PhD research experience.

For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.

For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.

*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.

*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.

*Strong publication record indicating research independence and leadership.

*Excellent communication, organizational, and leadership skills.

*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.

*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras.

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups.

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond).

*Expertise in programming in C/C++, MATLAB, Bash.

*Expertise in databases, data infrastructure, data governance.

*Expertise in high performance computing using SLURM or LSF.

*Experience with PyTorch, JAX, or Tensorflow.

*Experience with NVIDIA CUDA and related OpenMP programming.

*Experience with cloud services (AWS, GCP, Azure, etc.).

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc.).

*Experience supervising and mentoring undergraduate/graduate students, and/or technicians.

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.

*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.

*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 3 required (contact information only)

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UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

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Date Posted:

Country:

Location:

Position Role Type:

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Security Clearance Type:

Security Clearance Status:

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world.

Raytheon engineers develop the next generation of defense technologies that support our military and protect our nation and allies. We are the world's leader in developing cutting edge defense technologies through simulation-driven virtual environments. Our software products empower the next generation of innovative weapons systems and advanced AI/ML solutions.

We are looking for Systems Engineer II - Modeling Simulation & Analysis Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn.

As a Systems Engineer II - Modeling Simulation & Analysis Engineer, you will participate in challenging multi-disciplinary work across integrated product teams consisting of Guidance, Navigation & Control (GNC), Signal Processing and missile-and-sensor-level Performance Simulations. Our Performance Simulation teams provide, develop, and maintain high fidelity performance simulations, evaluate system performance, support new business initiatives and develop & execute technology roadmaps. This is an Onsite role in Tucson, AZ.

What You will Do

• You will create high fidelity simulations and models for missile design, performance assessment, and flight test support
• You will be responsible for the development and implementation of modeling solutions, and subsequently conduct trade studies and evaluation of system and subsystem performance
• You will work in a team environment, receiving input from the team supervisors and providing guidance and/or direction to other team members
• You will collaborate with Guidance, Navigation & Control (GNC), Signal Processing, and other performance personnel to perform simulation activities according to the program schedule
• You will work on different projects, determine, and develop approaches and solutions, and provide development guidance throughout the product lifecycle from initial concept to fielded product
• You will provide technical expertise for the simulation products of a specific program, and assist Senior Modeling Engineers in the preparation of detailed plans, and may interact with government counterparts as an authority on simulation products

Qualifications You Must Have

• Typically requires a Bachelor's degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 2 years of relevant prior experience
• Experience applying object-oriented software design and programming in C or C++
• Experience using Python or MATLAB for evaluation of data sets
• Experience modeling or simulating physical systems
• Experience in modeling, simulation, statistics, and/or analysis for existing or proposed engineering solutions
• Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Qualifications We Prefer

• Advanced Degree in Engineering, Science, Mathematics, or related STEM degree
• Experience using applied system engineering principals, experience working on a team and/or by yourself, interfacing with multiple engineering disciplines
• Experience creating and/or presenting technical briefings
• Experience developing signal processing / GNC algorithms or models for missile applications
• Experience with control hardware design & test and/or hardware & software integration
• Experience modeling physics and/or modeling physical systems as related to flight dynamics
• Experience using UNIX / Linux based workstations and using Software Configuration Management tools such as Git
• Course work or experience in some of the following fields: radar, signal & image processing, radar and/or EO/IR environment models, digital communications, probability and statistics, linear algebra, estimation theory, optimal control, system architecture, inertial navigation, guidance theory

What We Offer

• Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

• Relocation Eligible – relocation assistance available for this position

Learn More & Apply Now!

• Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

• This position requires onsite work in Tucson, AZ: ,-az-location

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

Date Posted:

Country:

Location:

Position Role Type:

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Security Clearance Type:

Security Clearance Status:

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

Raytheon is hiring a Data Modeler Database Engineer  to support our team in Richardson TX.  You will have the opportunity to directly impact the world around you and contribute to classified programs and technologies you are passionate about. In this position you would be familiar with designing, creating, updating, and managing databases and high performance data models.

What You Will Do

• Identify and understand customer needs and apply sound, demonstrable understanding of database principles, theories, and concepts related to software engineering to translate those needs to viable design solutions.
• Translate needs and design requirements into physical data models.
• Analyze business requirements, RFCs, and technical specifications to identify data modeling impacts and design needs.
• Collaborate with systems engineers, product owners, architects, and stakeholders to gather and validate data requirements.
• Design new database structures (tables, indexes, constraints, views) and modify existing models to accommodate program needs.
• Author and implement database data model changes (DDL) using database change control automation.
• Work with developers on best practices for interacting with databases, writing and maintaining SQL statements.
• Utilize data modeling tools such as Oracle SQL Developer Data Modeler, Oracle Designer, and others.
• Demonstrate critical thinking skills with the ability to communicate concepts and ideas clearly.
• Use proven problem solving and analytical skills.
• Work in an Agile/Scrum environment.
• Able to obtain and maintain SCI program access and complete polygraphs.
• Obtain Security+ certification within 60 days of start.

Qualifications You Must Have

• Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of five (5) years of Database Engineering experience.
• Three (3) years of experience performing relational data modeling with Oracle or PostgreSQL Relational Database Management Systems (RDBMS).
• Three (3) years of experience with Oracle SQL and PL/SQL.
• Experience with bash shell scripting.
• Experience working with Systems and Software Engineers to design, implement, and modify backend databases to interact with applications.
• Experience and Linux command line skills to perform database administration activities, deployment automation.
• Active and transferable Top Secret U.S. government issued security clearance is required prior to start date with the ability to obtain a TS/SCI prior to start date. U.S. Citizenship is required as only U.S. Citizens are eligible for a clearance.

Qualifications We Prefer

• Three (3) years of experience with PostgreSQL SQL and pl/pgsql.
• Experience with python scripting and programming.
• Existing Security+ Certification (or higher).
• Experience using AWS RDS for Oracle and AWS Aurora PostgreSQL database services.
• Experience with NoSQL database products such as MongoDB and DynamoDB.
• Data architecture experience for critical design decisions (such as the suitability of a product/technology for a given use case).  
• Experience troubleshooting database performance issues.
• Strong SQL tuning experience in Oracle and PostgreSQL.
• Experience with database security controls and audit & compliance requirements.
• Experience virtualizing or containerizing databases.
• Experience with automating routine tasks.
• Experience using git source control, Jira, and Confluence.

What We Offer

• Whether you’re just starting out on your career journey or are an experienced professional, we offer a total rewards package that goes above and beyond with compensation; healthcare, wellness, retirement, and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance, and child/adult backup care.

• Relocation Eligibility - Relocation assistance is available.

Learn More & Apply Now!

• Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

• This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:  

• North Texas: Are RTX

#LI-Onsite

#LI-HS30

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

The Construction Scheduler & BIM Modeler is a hybrid role responsible for integrating schedule development with model-based coordination to improve project predictability, sequencing, and execution. This position supports projects from preconstruction through closeout by combining Critical Path scheduling with BIM coordination, clash detection, and 4D planning.

This role works closely with Project Managers, Superintendents, Preconstruction, and trade partners to ensure projects are delivered on time, fully coordinated, and aligned with company standards for safety, quality, and accountability.

Essential Functions/Job Responsibilities:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily, with or without special accommodation.

Key Responsibilities

Scheduling (CPM / Project Controls)

• Develop and maintain baseline CPM schedules during preconstruction
• Build detailed construction schedules including phasing and sequencing
• Identify critical path activities and long-lead procurement items
• Lead schedule coordination meetings with internal teams and subcontractors
• Provide bi-weekly or monthly schedule updates
• Develop recovery schedules when delays occur
• Perform time impact analysis when needed
• Create executive-level schedule reporting dashboards
• Support claims documentation related to schedule impacts

BIM Modeling & Coordination

• Develop and maintain 3D BIM models for coordination and planning
• Perform clash detection and facilitate trade coordination meetings
• Integrate schedule into model for 4D sequencing visualization
• Support quantity takeoffs and model-based estimating
• Produce coordination drawings and assist with shop drawing review
• Maintain BIM standards and naming conventions
• Assist field teams with model access and real-time updates
• Support as-built modeling and closeout documentation

Qualifications

• Bachelor’s degree in construction management, Engineering, Architecture, or related field (preferred)
• 3–5 years of commercial construction experience
• Proficiency in:
• Primavera P6 or Microsoft Project
• Autodesk Revit
• Strong understanding of construction sequencing and field operations
• Ability to read and interpret plans and specifications
• Experience with healthcare or complex commercial coordination preferred
• Excellent communication and analytical skills

This job description outlines the primary and recurring responsibilities of this position. It is not intended to be an exhaustive list of all duties, responsibilities, or tasks that may be required. The individual in this role will regularly perform additional related assignments, special projects, and other duties as directed by company leadership, including the Director of Operations, Preconstruction Manager, and/or other designated supervisors.

South Carolina is an Employment-At-Will state. This job description does not constitute an employment agreement or contract. Management reserves the exclusive right to modify, revise, or update this job description at any time, with or without notice.

Job Responsibilities:

• Create model content and leverage that content for contract documents, markups and sketches.
• Create model content from existing contract drawings, iterative markups, and conceptual sketches.
• Create drawings from coordinated models for Contract Documentation for Submission to AHJ’s, Fabrication, and install.
• Create material lists and schedules from project model for purchasing and fabrication.
• Create Total Station layout files from model and/or directly from contract drawings and markups.
• Participate in BIM coordination meetings as needed.
• Resolve clashes while maintaining constructability of the work and minimizing impacts to project budget.
• Review and correct own 2D and 3D work for accuracy and completeness prior to submitting for review or installation.
• Identify and communicate issues that need clarification to the VD modeler II/design managers/VDC managers/self-perform managers
• Collaborate with Design, VDC, manufacturing, and field operations teams to continually improve.

Job Requirements, Qualifications, Characteristics:

• Education in Architecture, Engineering, Construction, Drafting, or a related discipline or equivalent field experience or related work experience.
• 2+ years of experience in a BIM (Building Information Modeling) environment (training experience may be considered).
• Proficiency with current versions of Autodesk Revit, AutoCAD, and Be.Smart (Revit Plug-in).
• Experience in Metal Stud Framing detailing and modeling preferred.
• Ability to independently troubleshoot minor software issues.
• Strong attention to detail and organizational skills.
• Effective communication skills with team members and key project stakeholders.
• Ability to read and interpret plans, specifications, submittals, and codes required to perform work effectively.

Senior Data Modeler

Hybrid 3-4 days onsite

Location: Phoenix, Arizona

Salary: $130,000 - $150,000 base

A large, operationally complex organization is undergoing a major modernization of its data platform and is building a new, cloud-native analytics foundation from the ground up. This is a greenfield opportunity for a senior-level data modeler to establish best practices, influence architecture, and help shape how data is organized and used across the business.

This role sits at the center of a multi-year transformation focused on modern analytics, scalable data products, and strong collaboration between data and business teams.

What You’ll Be Working On

• Designing and implementing enterprise data models across conceptual, logical, and physical layers
• Establishing Medallion architecture patterns and reusable modeling assets
• Building dimensional and semantic models that support analytics and reporting
• Partnering closely with domain experts and functional leaders to translate business needs into data structures
• Collaborating with data engineers to align models with ELT pipelines and analytics frameworks
• Helping define modeling standards and upskilling senior engineers in modern data modeling practices
• Contributing hands-on to data engineering work where needed (SQL, transformations, optimization)
• Proactively identifying analytics opportunities and recommending data structures to support them

This role is roughly 40% data modeling, 30% hands-on engineering, and 30% cross-functional collaboration.

Must-Have Experience

• Strong, hands-on experience with data modeling (dimensional, canonical, semantic)
• Deep understanding of Medallion architecture
• Advanced SQL and experience working with a modern cloud data warehouse
• Experience with dbt for transformations and modeling
• Hands-on experience in cloud-native data environments (AWS preferred)
• Ability to work directly with business stakeholders and explain technical concepts clearly
• Experience collaborating closely with data engineers on execution

Nice to Have

• Python experience
• Familiarity with Informatica or reverse-engineering legacy data models
• Exposure to streaming or near-real-time data pipelines
• Experience with visualization tools (tool choice is flexible)

Who Will Thrive in This Role

• A senior individual contributor who enjoys building from scratch
• Someone who can act as a modeling expert and mentor in an organization formalizing this practice
• Comfortable working in ambiguity and taking initiative
• Strong communicator who enjoys partnering with both technical and non-technical teams
• Equally comfortable discussing business concepts and physical data models

Why This Role Is Unique

• Greenfield data modeling initiative with real influence
• Opportunity to define standards that will be used across the organization
• Work on large-scale, real-world operational and analytical data
• High visibility within a growing data organization
• Flexible work setup for individual contributors

If you’re excited about shaping a modern data foundation and want to be the person who defines how data is modeled, understood, and used, this is a rare opportunity to make a lasting impact.

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Guidance, Navigation, and Control (GNC) Modeling and Simulation Engineer, you will develop the physics-based models that enable rapid iteration and certification-grade validation of GNC software. You will perform simulation analysis and assess correlation with real-world data to demonstrate that the models are representative of the actual system.

Responsibilities

• Develop physics-based models representative of aircraft dynamics (aerodynamics, ground reactions, actuator models, etc.)

• Identify, request, and analyze flight tests necessary to inform modeling

• Conduct closed-loop testing of flight control systems with simulated aircraft dynamics

• Develop tools for visualizing and analyzing simulation and flight data

• Perform validation of simulation models against flight test data

Basic Success Criteria

• BS in aerospace engineering, robotics, or related field

• 5+ years experience with aerodynamics, flight dynamics simulation, and system identification

• Experience with Python, C++, MATLAB/Simulink, and Linux-based development environments and scripting

• Experience with developing validated physics-based models as well as integration and testing of these models

• Excellent written and verbal communication skills

Preferred Criteria

• MS or PhD in aerospace engineering, robotics, or related field

• Experience with high fidelity physics-based aircraft or other complex simulation systems

• Current pilot, instrument or commercial ratings

GNC Modeling and Simulation is a key company capability that enables rapid design iteration and scalable design validation covering the massive combinatorial space of flight envelope and atmospheric conditions. These tools are what allow us to fly with the confidence of more than 1000:1 simulation hours to flight hours and draw statistically significant conclusions on the system's safety and performance.

Employees working from our headquarters in Mountain View, CA may expect very little travel.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $185K - $245K

Company Description

Edensign is building the future of AI-powered visual and spatial engine. Backed by the Harvard Innovation Labs, we’re creating next-generation intelligent systems that merge generative AI, 3D understanding, and spatial intelligence to transform how real-world spaces are visualized, staged, and experienced.

Contact Email:

Role Description

Full-time | Preference for Boston based candidates

We’re looking for a senior technical leader to drive the development of our core AI engine. The ideal candidate has deep experience training large generative models, including diffusion, 3D reconstruction networks, multimodal, VLM architectures. In this role, you will spearhead model training pipelines, R&D experiments, data strategy, and foundational architecture decisions.

This is an opportunity to help build the next generation of spatial AI - from multi-view consistency to 2D-to-3D-to-2D transformation and advanced scene understanding.

Key Responsibilities

• Design, train, and optimize cutting-edge generative models, including diffusion, 3D reconstruction, and multimodal/VLM architectures
• Build and manage scalable training pipelines, data curation workflows, and experiment tracking
• Lead research experiments, benchmarking, and exploration of new modeling techniques
• Architect the evolution of our spatial AI stack—from prototyping new ideas to deploying production-ready models
• Collaborate with engineering and product teams to integrate AI capabilities seamlessly into real-world workflows
• Make strategic decisions around infrastructure, GPU utilization, model efficiency, and training optimization
• Contribute to Edensign’s long-term technical roadmap and innovation direction

Qualifications

• Strong expertise in training generative models (diffusion, GANs, 3D generative models, or scene-reconstruction networks)
• Deep background in Computer Vision, Computer Graphics, 3D geometry, NeRF-like architectures, or multi-view learning
• Familiarity with node-based generative tools (e.g., ComfyUI) is a plus
• Experience with VLMs, multimodal models, grounding, or spatial reasoning is highly valuable
• Proficiency in Python and modern ML frameworks
• Hands-on experience with distributed training, GPU optimization, and large-scale experiment management
• Ability to work independently and lead technical direction in a fast-paced startup environment
• Strong analytical, problem-solving, and system design skills
• Excellent communication and collaboration skills
• Master’s or PhD in Computer Science, AI/ML, Computer Vision, or a related field
• Experience in real estate, architecture, spatial design, or spatial computing is a bonus
• Proficiency in Mandarin is preferred

We’re seeking a BIM Revit Modeler with electrical experience to support commercial and industrial construction projects. This onsite role is ideal for someone with hands-on Revit skills who enjoys collaboration and working closely with field and project teams.

Positions in Arizona; Peoria, Glendale, Queens Creek, Tempe - Must currently live in AZ. Must be on our w-2.

What You’ll Do:

• Build and maintain 3D electrical models in Revit
• Coordinate across trades and support clash detection
• Produce layouts, drawings, and as-built documentation
• Partner with engineers, project managers, and field teams

What We’re Looking For:

• 1+ year of Revit modeling experience
• Electrical systems modeling background
• Navisworks experience preferred
• Strong communication and teamwork skills

Bonus: Bluebeam, AutoCAD, or other VDC tools

• Great opportunity to grow with a team working on large-scale projects.

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Boeing Commercial Airplanes is seeking an Experienced (Level 3) or Senior (Level 4) Model Based System Engineer to join our Product Security Engineering (PSE) Product Development and Innovation team in Everett, WA or Seattle, WA. This position will be responsible for ensuring security, safety, and resilience of all digitally connected systems, focused on partnering with BCA and Enterprise Digital Transformation Engineering teams to develop tools and processes, to be used to provide security artifacts for airplane and system development in support of certification.

Primary responsibilities:

• Design, develop, test, and deploy new Digital Engineering features and capabilities for the Boeing Commercial Airplanes Product Security Engineering function
• Ensure and maintain the quality of the MBSec Solution Kit (SK) models, processes, and templates
• Manage PSE Digital Engineering project access control, permissions management, project structure, and to help implement related Access Control Policies
• Work with PSE Enterprise and MBSec Technical Lead, Development Lead, and Scrum-Master to define and execute “releases” of the MBSec SK and other PSE Digital Engineering capabilities per the PSE Digital Engineering technical roadmap
• Work with the MBSec Development Lead and Scrum-Master to define new features to add and align within the PSE Digital Engineering technical roadmap
• Work with the PSE Engineering Integration Lead to align MBSec SK, and other PSE Digital Engineering tools, with defined enterprise and BCA PSE Engineering Capabilities and engineering activities
• Participate in peer reviews and technical reviews related to PSE Digital Engineering features and capabilities
• Manage the deployment and implementation of MBSec across multiple BCA programs for Product Security Engineering
• Develop and define training materials, courses, and pathways for PSE Digital Engineering tools and capabilities.
• Train and teach PSEs from across the enterprise in the use of PSE Digital Engineering tools and capabilities
• Participate as a contributor to the Enterprise PSE community for Model Based Solution Kits and Design Practices
• Work in and utilize agile methodologies for planning and execution of tasks across the team
• Define and craft the technical capabilities roadmap for PSE Digital Engineering

Basic Qualifications (Required Skills and Experience):

• Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
• Level 3: 5+ years of related work experience or an equivalent combination of education and experience
• Level 4: 9+ years of related work experience or an equivalent combination of education and experience
• Experience with Model Based Engineering tools and languages such as Enterprise Architecture, Cameo, MagicDraw, UML/SysML, 3DX, CATIA
• Experience with system security engineering or systems engineering
• Experience with analysis of requirements, architecture, design, and product design

Preferred Qualifications (Desired Skills and Experience):

• Accredited degree or certificate in Systems Engineering with a focus or emphasis on Model Based Systems Engineering (MBSE)
• Experience in Airplane System Development, Product Security, Cybersecurity, or Systems Security Engineering
• Demonstrated history of performance in systems, systems security, or software engineering throughout the course of engineering or operations lifecycle
• Highly motivated and exhibit strong written and verbal communication, inter-personal, and problem-solving skills
• Experience with Model Based Engineering languages and frameworks such as UAF, DoDAF, MODAF, AADL, UPDM etc
• Experience with formalized semantics and semantic modeling languages and frameworks such as RDF, OWL, SPARQL, and TTL
• Understanding and working knowledge of various standards, including: DFARS Clause 252.204-7012, CNSSI 1253, DOD 8570, NIST 800-160, NIST 800-53 (and 53A), NIST 800-30, NIST 800-171, NIST 800-55, NIST 800-137, NIST 800-39 etc

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary Pay Range:

• Experienced (Level 3): $137,700 - $186,300
• Senior (Level 4): $173,400 - $234,600

Applications for this position will be accepted until Mar. 28, 2026

Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Education

Bachelor's Degree or Equivalent Required

Relocation

This position offers relocation based on candidate eligibility.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Defense, Space & Security (BDS) - Phantom Works organization is seeking a seasoned Low Observables (LO) Design & Integration Engineer to lead design and analysis activities supporting the fabrication and test of an RCS pole model.

The successful candidate will apply deep expertise in LO materials, integration, manufacturing, computational electromagnetic (CEM) modelling, and test support to design, build and test a representative pole model for an advanced next generation program in the St. Louis region.

Key Responsibilities:

• Lead detailed LO design and integration for the RCS pole model, including material selection, incorporation of advanced technologies, supplier hardware integration.

• Use computational electromagnetic solvers to model, analyze, and optimize radar cross section (RCS) and scattering behavior across required frequency bands and aspect angles in support of pre-test predictions and diagnostics.

• Work with Manufacturing to ensure proper alignment between design, analysis and fabrication of LO components.

• Define and support fabrication processes, QA checks, and build plans for LO skins, coatings, RAM treatments, and attachments; identify and mitigate manufacturability risks, provide LO liaison support to the shop.

• Develop and execute test plans for RCS characterization (anechoic chamber and outdoor ranges), including instrumentation, calibration, and measurement repeatability considerations.

• Prepare and execute data processing workflows to reduce, calibrate, and analyze measured RCS and related EM test data; combine simulation and measurement data for validation and design iteration.

• Produce clear technical documentation: design descriptions, analysis reports, test plans, test reports, procedures, and presentation materials for program reviews.

• Mentor junior engineers and support continuous improvement of LO design, test, and data processing practices.

Working Conditions and Physical Requirements:

• Hands-on support in fabrication or test setups may be required.

• Will require travel to other company locations, supplier facilities, fabrication shops, and test ranges (including anechoic chambers and outdoor ranges).

Basic Qualifications (Required Skills and Experience):

• Bachelor of Science degree in Engineering, Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement

• 7+ years of professional experience working with low observable materials and technologies, including hands-on exposure to LO integration, design, manufacturing, and test.

• Demonstrated experience using computational electromagnetic solvers (e.g., FEKO, HFSS, CST, WIPL-D, CARLOS, SENTRI, XPATCH or equivalent) for design and optimization of LO systems and RCS predictions.

• Strong understanding of electromagnetic principles relevant to scattering, phenomena and Radar Cross Section.

• Proven track record supporting fabrication and testing of LO components/assemblies and correlating measurements to models.

• Proficiency in data processing and analysis of RCS/EM test data, including calibration, clutter and background rejection, and data visualization techniques.

• Excellent technical writing skills with experience producing engineering reports, test plans, and test reports.

• Effective verbal communication and collaboration skills; ability to lead technical discussions and interface with suppliers, customers, leadership and test facility personnel.

• Ability to obtain a Top Secret clearance and Special Program Access (US Only Citizenship required)

Preferred Qualifications (Desired Skills and Experience):

• Advanced degree (MS/PhD) in a relevant discipline.

• Past experience with RCS pole models, and range testing.

• Experience with material characterization techniques.

• Knowledge of LO materials and application processes, as well as nondestructive inspection methods for LO components.

• Familiarity with CAD tools and integration with CEM workflows.

Conflict of Interest:

Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features:

• Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting

• Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range: $136,850- $185,150

Applications for this position will be accepted until Apr. 01, 2026

Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Education

Bachelor's Degree or Equivalent Required

Relocation

This position offers relocation based on candidate eligibility.

Security Clearance

This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Defense, Space & Security (BDS) - Phantom Works organization is seeking a seasoned Low Observables (LO) Design & Integration Engineer to lead design and analysis activities supporting the fabrication and test of an RCS pole model.

The successful candidate will apply deep expertise in LO materials, integration, manufacturing, computational electromagnetic (CEM) modelling, and test support to design, build and test a representative pole model for an advanced next generation program in the St. Louis region.

Key Responsibilities:

• Lead detailed LO design and integration for the RCS pole model, including material selection, incorporation of advanced technologies, supplier hardware integration.

• Use computational electromagnetic solvers to model, analyze, and optimize radar cross section (RCS) and scattering behavior across required frequency bands and aspect angles in support of pre-test predictions and diagnostics.

• Work with Manufacturing to ensure proper alignment between design, analysis and fabrication of LO components.

• Define and support fabrication processes, QA checks, and build plans for LO skins, coatings, RAM treatments, and attachments; identify and mitigate manufacturability risks, provide LO liaison support to the shop.

• Develop and execute test plans for RCS characterization (anechoic chamber and outdoor ranges), including instrumentation, calibration, and measurement repeatability considerations.

• Prepare and execute data processing workflows to reduce, calibrate, and analyze measured RCS and related EM test data; combine simulation and measurement data for validation and design iteration.

• Produce clear technical documentation: design descriptions, analysis reports, test plans, test reports, procedures, and presentation materials for program reviews.

• Mentor junior engineers and support continuous improvement of LO design, test, and data processing practices.

Working Conditions and Physical Requirements:

• Hands-on support in fabrication or test setups may be required.

• Will require travel to other company locations, supplier facilities, fabrication shops, and test ranges (including anechoic chambers and outdoor ranges).

Basic Qualifications (Required Skills and Experience):

• Bachelor of Science degree in Engineering, Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement

• 7+ years of professional experience working with low observable materials and technologies, including hands-on exposure to LO integration, design, manufacturing, and test.

• Demonstrated experience using computational electromagnetic solvers (e.g., FEKO, HFSS, CST, WIPL-D, CARLOS, SENTRI, XPATCH or equivalent) for design and optimization of LO systems and RCS predictions.

• Strong understanding of electromagnetic principles relevant to scattering, phenomena and Radar Cross Section.

• Proven track record supporting fabrication and testing of LO components/assemblies and correlating measurements to models.

• Proficiency in data processing and analysis of RCS/EM test data, including calibration, clutter and background rejection, and data visualization techniques.

• Excellent technical writing skills with experience producing engineering reports, test plans, and test reports.

• Effective verbal communication and collaboration skills; ability to lead technical discussions and interface with suppliers, customers, leadership and test facility personnel.

• Ability to obtain a Top Secret clearance and Special Program Access (US Only Citizenship required)

Preferred Qualifications (Desired Skills and Experience):

• Advanced degree (MS/PhD) in a relevant discipline.

• Past experience with RCS pole models, and range testing.

• Experience with material characterization techniques.

• Knowledge of LO materials and application processes, as well as nondestructive inspection methods for LO components.

• Familiarity with CAD tools and integration with CEM workflows.

Conflict of Interest:

Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features:

• Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting

• Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range: $136,850- $185,150

Applications for this position will be accepted until Apr. 01, 2026

Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Education

Bachelor's Degree or Equivalent Required

Relocation

This position offers relocation based on candidate eligibility.

Security Clearance

This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.