Gpt Model Comparison Jobs in Usa

Job Title: BIM Modeler II/III (Electrical)

Location: Coppell, TX (75019)

Pay: $60k - $80k+ DOE

Position Overview: Seeking an experienced BIM Modeler II/III to support complex commercial construction projects. This role plays a key part in developing and managing detailed 3D models used for coordination, design support, and project documentation. The individual in this position will act as a senior member of the modeling team, helping guide production efforts and ensuring modeling standards are followed throughout the project lifecycle.

This opportunity is ideal for someone who enjoys collaborating with project teams, mentoring junior modelers, and contributing to large-scale construction projects using advanced modeling tools.

Key Responsibilities

• Lead modeling and documentation efforts for electrical systems on construction projects.
• Develop and maintain project models using trade backgrounds and coordination data from multiple disciplines.
• Create and modify project-specific Revit families and components as needed.
• Assign and coordinate modeling tasks within the production team to ensure project deadlines are met.
• Review and verify the accuracy of models and drawings before submission to project teams.
• Collaborate with coordinators, detailers, and field teams to ensure design intent is properly represented.
• Maintain organized model structures, sheets, schedules, and documentation within the project environment.
• Assist with 3D coordination efforts and resolve conflicts with other building trades.
• Prepare project files for use by removing unnecessary backgrounds and maintaining efficient models.
• Ensure all project data and internal documentation standards are properly followed.

Qualifications

• Associate degree in Computer-Aided Drafting, Design Technology, or a related technical field preferred.
• Minimum 5 years of experience in BIM modeling, drafting, or electrical design support.
• Equivalent combinations of education, training, and industry experience may be considered.
• Strong understanding of electrical symbols, layouts, and drafting standards.

Technical Skills

• Advanced experience with Autodesk Revit including creating and modifying families, schedules, and views.
• Working knowledge of Autodesk Navisworks and coordination workflows.
• Strong understanding of 3D modeling principles and spatial coordination between trades.
• Ability to interpret 2D construction drawings and translate them into coordinated 3D models.
• Experience setting up Revit models, worksets, and collaborative workflows.
• Familiarity with Microsoft Office tools such as Outlook, Word, and Excel.
• Ability to import external documents, images, and spreadsheets into modeling environments.

Travel

• Primarily office-based with occasional visits to active construction sites.
• Occasional travel may be required (up to approximately 20%) depending on project needs.

We are Hiring! Coastal Numerical Modeler Position Opening

Coastal Protection Engineering LLC (CPE), a multidisciplined coastal consulting firm with a national presence and a growing coastal engineering practice, is seeking a Coastal Numerical Modeler to join our Boca Raton, FL office. This position offers exceptional growth and career development opportunities for a motivated professional passionate about coastal modeling and engineering. The successful candidate will work closely with our team of experienced coastal engineers and scientists on numerical modeling studies of coastal processes, including beach and dune restoration, inlet management, coastal resiliency, and coastal flooding projects throughout the U.S.

Responsibilities

• Perform numerical modeling in support of coastal processes (Waves, flows, sediment transport, coastal morphology change) in support of coastal engineering projects such as beach dune and marsh restoration, coastal structures, inlet management, coastal resiliency and coastal flooding.
• Coordinate and establish effective working relationships with team members, project managers, and clients.
• Conduct numerical modeling studies from start to finish including pre-processing data, creating modeling grids, developing and implement boundary conditions, conducting numerical model calibration, project scenario simulations, post processing results, creation of modeling graphics and videos and preparation of final deliverables including technical report and power point presentations.
• Participate in project decisions regarding numerical modeling scope and scheduling.
• Prepare various project documents including reports, technical memorandums and technical papers to be published in specialized journals.

Minimum Qualifications

• Bachelor’s and master’s degree in Coastal Engineering, Ocean Engineering, Oceanography or related fields.
• Minimum of 2 years’ experience with numerical modeling of coastal and estuarine systems, including coastal hydrodynamics, sediment transport, and morphology change, utilizing Delft3D and XBeach modelling suites.
• Experience with Matlab programming, specifically development of pre- and post-processing scripts for Delft3D applications.
• Experience with wave and tide schematization for long-term morphology change simulations of beaches and inlets.
• Willingness and availability to travel to other offices and client sites on occasion.
• Strong background in coastal processes.
• Proficient English communication skills (oral and written).
• Be able to legally work in the USA.

Additional Desired Qualifications

The following additional qualifications are not mandatory but will be viewed favorably:

• Experience with other coastal numerical model software such as the SMC (USACE), SMS (IHE-Cantabria), Genesis, SBEACH, C-Shore, Bouss2D, Beach-Fx, Fun Wave, Mike21, Litpack, ADCIRC, SLOSH, HEC-2, HEC-HMS, HEC-RAS, SWMM/XPSWMM.
• Experience with other programming languages such as Python and C++.
• Experience with CAD and GIS.
• Experience with stormwater hydrology and hydrologic modeling.
• Experience modeling coastal flooding.
• Experience with operational forecasts and real time data assimilation by models.
• Experience with metocean data collection in the field.
• Experience preparing project scope and fee proposals
• Publications Coastal Engineering Journals and Presentation in National and International Coastal Conferences.

What We Offer

This is a full-time, exempt salaried position. Salary will be commensurate with experience. CPE offers a competitive benefits package, including:

• 100% employer-paid health insurance for employees
• A generous 401(k) retirement plan
• Supportive, collaborative environment in a fully sustainable office building located near pristine beaches and A-rated schools.
• A unique opportunity to learn with our experienced coastal team, develop your technical and professional skills, and grow your career while working on interesting coastal engineering projects.

Equal EmploymentOpportunity

Coastal Protection Engineering is proud to be an equal opportunity employer and we ensure nondiscrimination in all programs and activities in accordance with Title VI and VII of the Civil Rights Act of 1964. We encourage talented, qualified employees to apply regardless of race, color, sex/gender, including gender identity and expression, sexual orientation, pregnancy, national origin, religion, disability, age, marital status, citizen status, protected veteran status, or any other protected classification under country or local 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.

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.

What Makes a Honda, is Who makes a Honda
Honda has a clear vision for the future, and it’s a joyful one.  We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success.  We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda’s, we want you to join our team to Bring the Future!

 About this Position: 

Lead and manage New Model project for new launches in North America through cross-functional coordination and cost roll-up of automotive parts sourced within Global and North American supply base, all which have significant impact on HDMA financial performance. Effectively lead and develop cost targets and strategies to achieve NM Model cost reduction goals for assigned models, monitoring progress and performance against the project, plan versus actual.  Provide clear, concise, and accurate cost and maker layout reports to Purchasing management and New Model Cost in line with project requirements.  Monitor progress and performance against the project, plan versus actual Lead team cost correlation activity with both global and regional design functions. Support project meetings and prepare reports to communicate the status of the project within and beyond the project team.

Responsibilities include:

• Create, maintain, and manage multiple new models (13-17) project schedules to meet overall schedule milestones and deliverables
• Represent the Department independently in project team meetings, theme activity, and evaluations; communicating across DEB areas to share ideas and gain consensus on key decisions and milestones
• Independently summarize Unit activity, conduct periodic reviews with Unit, Department & Division management to confirm new model status.  This includes Supplier and Cost strategy items.
• Create and manage new model cost targets through cost correlation activity with design, effectively managing performance and implementing countermeasure plans accordingly (annual supplier spend $3.2B/$38M investment).
• Accurately roll-up cost (piece price and investment) for each NM event, and report cost and project status at New Model Evaluations to Procurement and Design Leadership
• Report departments project status, clarifying risk and path forward at New Model evaluations (Cost Evaluations, We Are Ready) to Procurement Senior Management
• Communicate and collaborate across DEB areas of the business to share ideas and reach consensus.  Share project requirements to Department team and suppliers
• Develop and manage the coordination of cost table activity for use in supplier negotiation
• Mentor associates within group on problem solving, procedures, and fostering development

Who we are seeking:

Required Work Experience:

• 8+ Years of Purchasing, Sales, Quality Control, or Engineering experience

Required Education:

• Bachelor’s Degree in Business, Supply Chain, Purchasing or equivalent relevant experience

Desired skills:

• Strong project management experience
• Managing complex and detailed projects
• Demonstrate leadership skills
• Gap analysis
• Strength in problem solving
• Setting goals and achieving results
• Catia knowledge
• Good organization
• Proficient in Microsoft (Excel, PowerPoint)
• Work cross functionally

Additional Position Factors:

• Domestic and International (1-2 weeks) travel may be required (10%)
• Willingness to work overtime due to the cyclical business needs of our NM launches (5-10 hrs.)
• Open office environment with moderate level of noise and activity.
• Hybrid work style (80% in office)
• Blended remote work is an available option based on management discretion and operating needs.
• Regular occurrence of communicating and presenting information in groups for evaluation purposes.

What differentiates Honda and makes us an employer of choice?

Total Rewards: 

• Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
• Regional Bonus (when applicable)
• Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)
• Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
• Paid time off, including vacation, holidays, shutdown
• Company Paid Short-Term and Long-Term Disability 
• 401K Plan with company match + additional contribution
• Relocation assistance (if eligible)

Career Growth:

• Advancement Opportunities
• Career Mobility
• Education Reimbursement for Continued learning
• Training and Development Programs 

Additional Offerings:

• Lifestyle Account
• Childcare Reimbursement Account
• Elder Care Support
• Tuition Assistance & Student Loan Repayment
• Wellbeing Program
• Community Service and Engagement Programs
• Product Programs

Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

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)

Help contact:

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.

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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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• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

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

A retail energy provider (REP) in Houston is seeking a Load Forecasting Modeler to support its large and complex Commercial and Industrial (C&I) customers in the Northeast power markets. This position is responsible for developing and updating short- and long-term forecasting models using Python, SQL, and Machine Learning, as well as providing variance analysis and reporting of retail electricity components.

Responsibilities include:

• Data Management/Analysis: Utilize load, weather data, and economic data to incorporate into load forecasting models.
• Model Development: Build and maintain forecasting models (regression, neural networks, machine learning) to predict demand across different timeframes (short-term, long-term) and trends.
• Weather Integration: Incorporate weather forecasts (temperature, humidity, cloud cover) to adjust for weather-driven load changes.
• Forecast Generation: Produce forecasts for various horizons (e.g., next hour, day-ahead, seasonal peaks) for different customer segments.
• Market Support: Provide forecasts to retail power traders for strategic supply and hedging decisions.
• Reporting & Collaboration: Communicate forecasts, analysis, and potential risks to management, trading desks, and operations.

Essential Requirements:

• Bachelor’s degree in engineering, mathematics, or a related quantitative field.
• ~2-4 years of professional experience developing and maintaining mathematical models, preferably in electricity/power load forecasting or in data analytics supporting a Retail Energy Provider, Independent Power Producer (IPP), or a utility.
• Strong quantitative modeling (regression modeling, including neural-net, simple regression, and hybrid modeling) and statistical analysis (MAD, MAPE, etc.) skills.
• Advanced programming skills (Python, R, SAS, VBA, and Oracle SQL or SQL Server). Experience with LightGBM, CatBoost, and XGBoost is strongly preferred.
• Knowledge of and proficiency with data extraction, analysis, and reporting across complex system structures.
• Familiarity with deregulated power ISO markets, portfolio management and optimization, energy supply stack, load forecasting attributes, C&I customer profiling, etc., is preferred.