Collaborative Filtering Algorithm Python Jobs Near, ME Jobs in Usa

• 
  
• A typical day will involve a mix of hands-on coding, architectural design, and research.
  
• The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
  
• This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
  
• They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
  

• 
  
• Python
  
• JavaScript/TypeScript
  
• AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
  
• AI Models (e.g. Claude, OpenAI, etc.)
  
• AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
  
• Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
  
• Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
  
• API Design
  

• 
  
• Deep hands-on experience in Python for AI/ML development.
  

• 
  
• Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
  
• Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
  
• Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
  

• 
  
• Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
  
• Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
  
• Experience developing autonomous agents using cloud-based AI services.
  
• Experience with prompt engineering techniques and model fine-tuning.
  
• Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
  
• Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
  

The Advanced Aortic Imaging for Clinical and Translational Research (AAI-CTR) lab at UW–Madison is hiring a Postdoctoral Research Associate to develop and validate next-generation imaging biomarkers for aortic disease. If you want your algorithms to change how patients are monitored and treated, not just generate papers (although there is plenty of that too), this is the role.

Why This Lab:

Our group has built several image analysis techniques that have completely changed how we view aortic disease. Specifically, vascular deformation mapping (VDM) is a technique that detects aortic deformation patterns invisible to conventional diameter measurement, and we are actively translating it from research tool to clinical product. Our work sits at the intersection of deep learning, image registration, and clinical decision-making, with active industry partnerships aimed at commercializing the methods we develop. Former trainees have moved into competitive industry positions, co-developed new IP, and gone on to train at other top-tier programs. This is a lab where technical innovation and clinical impact are not separate goals.

What You’ll Do:

Algorithm & Pipeline Development

• Design, train, and validate DL/ML models for aortic CT and MRI (segmentation, registration, shape/growth modeling, VDM pipelines).
• Build and optimize image-based pipelines for longitudinal aortic surveillance using large, multi-center datasets.
• Benchmark algorithms against clinical reference standards; lead external validation and reproducibility testing.

Clinical Translation

• Collaborate directly with cardiovascular surgeons, cardiologists, and radiologists to define clinically meaningful performance targets.
• Advance investigational tools toward real-world use: workflow integration, reliability testing, and documentation aligned with regulatory and commercial pathways.
• Apply novel analysis methods to large patient populations (UW and multi-center cohorts) to generate evidence that supports clinical adoption.

Data & Project Leadership

• Curate, organize, and manage large clinical imaging datasets and associated outcomes data.
• Mentor and collaborate with trainees across clinical, engineering, and physics backgrounds.
• Lead manuscript preparation, conference abstracts, and presentations; build your independent publication record.

Required Qualifications

• Ph.D. (or equivalent) in Biomedical Engineering, Electrical/Computer Engineering, Computer Science, Medical Physics, or a closely related quantitative field.
• Hands-on experience with medical image analysis on CT and/or MRI.
• Strong AI/DL skill set: proficiency in Python and common ML/DL frameworks (PyTorch, TensorFlow); experience training and evaluating models on large imaging datasets.
• Experience with core medical imaging tasks: segmentation, registration, or 3D model/shape analysis, transfer learning. Interest in deformation or longitudinal analysis is a plus.
• Track record of scientific productivity (peer-reviewed publications, conference papers) and strong written/oral communication.
• Genuine interest in clinical translation, meaning building tools clinicians will actually use, not just publishing methods papers.

Preferred

• Prior work with vascular or cardiovascular imaging (aorta, aneurysm/dissection, cardiac CT/MR).
• Experience with image registration or statistical shape/deformation modeling.
• Familiarity with database tools and good data engineering practices for imaging research.
• Comfort working in multi-disciplinary teams and collaborating closely with clinicians.
• Creative, independent problem-solving mindset: able to prototype, test, and iterate quickly.

Commitment & Environment

We are looking for someone who can commit to at least 18–24 months. Meaningful translational research takes time: developing a method, validating it rigorously, and publishing the results is not a short-term endeavor. In return, you will work in a highly collaborative environment spanning Radiology, Surgery, Cardiology, and Medical Physics at UW–Madison, with direct access to large clinical datasets and a PI who is invested in your long-term career trajectory.

Work Authorization

Candidates who already hold valid U.S. work authorization are preferred, including F-1 OPT and STEM OPT. We are open to sponsoring H-1B visas for exceptional candidates, though candidates who do not require immediate employer-sponsored work authorization will have an advantage given current processing timelines.

Open date: November 21, 2025

Next review date: Monday, Mar 16, 2026 at 11:59pm (Pacific Time)

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

Final date: Friday, Nov 20, 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.

UC Berkeley Extension (UNEX), the continuing education branch of the University of California, Berkeley, has been building bridges between UC Berkeley and the public since 1891. UNEX serves the professional and continuing education goals of thousands of people each year and plays an essential part of the University mission to: extend the research and scholarship of UC Berkeley to a global community; increase access to higher education for non-traditional, online, and international students; and improve the workforce. UC Berkeley Extension is a part of the division under the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute.

UC Berkeley Extension invites applications for a pool of qualified, dynamic instructors with a commitment to professional and continuing education in Data Analytics, Data Science, Software Development, and Cybersecurity to teach one or more online courses each year for our Engineering, Technology, and Environmental Management department.

Courses are offered online:

• 
  
• Online instruction is delivered asynchronously through our learning management system (Canvas) or through synchronous live lectures (Zoom).
  
• Most synchronous live online lecture courses are offered in the evening and on the weekend (U.S.A. Pacific Time).
  

We are seeking qualified applicants who possess current subject matter expertise and/or teaching knowledge in (but not limited to) the following course subjects. For program and course descriptions, please refer to the departmental link below.

Data Analytics and Data Science

• 
  
• Introduction to SQL
  
• Introduction to Databases
  
• Data Warehousing and Business Intelligence
  
• Data Visualization
  
• Introduction to Data Analytics
  
• Python for Data Analysis
  
• R for Data Analysis
  
• Data Analytics Capstone
  
• Introduction to Big Data
  
• Introduction to Data Science
  
• Introduction to Machine Learning Using Python
  
• Machine Learning and Deep Learning
  
• Artificial Intelligence Foundations
  
• Data Science Capstone
  

Software Development and Advanced Software Development

• 
  
• Introduction to C Language Programming
  
• C++ Programming
  
• First Course in Java
  
• Programming Python
  
• Data Structures and Algorithms
  
• Front-End Web Development
  
• JavaScript Frameworks
  
• Modern Web Applications and Cloud Computing
  
• Software Design Patterns
  
• Software Quality Assurance
  
• Software Development Capstone
  
• Java: Discovering Its Power
  
• Mastering Python
  
• Back-End Development with Java/Python
  
• Web Software Security Frameworks
  
• Advanced Databases
  
• Advanced Software Development Capstone
  

Cybersecurity

• 
  
• Advanced Network Cybersecurity and AI Monitoring
  
• Cybersecurity AI Risk Management and Governance
  
• Automated Cybersecurity Incident Response and Digital Forensics
  
• Advanced Topics in AI Cybersecurity and Capstone
  

Other Data, Programming, Software Development, or Cybersecurity Courses or Subjects

(please specify in your cover letter)

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Specific duties and expectations will vary depending on the method of instruction including: Synchronous Live Online (Zoom); or Asynchronous Online (Start Anytime).

• 
  
• For synchronous instruction (live online courses), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction.
  
• For asynchronous instruction (start anytime online courses), duties include but are not limited to: reviewing the syllabus and pre-populated online course content; learning and utilizing Canvas classroom management tools; and requesting any training needs from the Program Director or Department Director.
  
• For all instruction (regardless of course format) duties include but are not limited to: completing required trainings as mandated by the UC Presidential policies; responding to student questions and learning needs in a timely manner; grading student assignments and posting final student grades to the instructor portal in a timely manner; utilizing University-approved course support platforms including the Canvas Learning Management System, Zoom, Instructor Portal, Google Workspace, etc.; reviewing and following University and departmental policies, logistics, and other guidelines as published on the departmental Instructional Resource Site; and responding to other requests from the Program Director or Department Director in a timely manner.
  

• 
  
• All work must be performed in the United States, whether in person or online. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.
  

Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=programs&availability=all

Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=courses

• 
  
• Bachelor's degree or equivalent international degree required.
  

• 
  
• 5 or more years of professional industry work experience since degree.
  

• 
  
• 6 or more years of professional industry work experience in the course subject.
  
• Advanced degree in course subject preferred.
  
• Teaching, training or coaching experience in the course subject, within a U.S. corporate environment, or at a U.S. college/university institution.
  
• Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
  
• Experience teaching online and/or developing academic content for online courses.
  
• Ability to convey conceptual and complex ideas and information.
  
• Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  
• Effective verbal/written communication and presentation skills (English).
  
• Effective organizational skills with attention to detail.
  
• Ability to collaborate with colleagues and work within a team environment.
  
• Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).
  

• Curriculum Vitae or Resume - Your most recently updated C.V. or resume.

  
  

• Cover Letter - Please discuss prior teaching experience, teaching approach, and other/future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  
  (Optional)

  
  

• Sample Syllabi and/or Teaching Evaluations (Optional)

  
  

• 
  
• References are requested from candidates at the interviewing stage, and references are only contacted for finalists.
  

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.

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.

• 
  
• "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
  

Job Title: Data/Software Engineer

Location: Remote

Industry: Pharmaceutical

***NO C2C***

Job Description:

Theoris Services is assisting our client in their search for a Data/Software Engineer to add to their growing team. Our client is seeking someone with data visualization experience and software engineering (create reusable libraries, best practices, troubleshooting).

Responsibilities:

• Data Pipeline & Backend Development
• Design, build, and optimize scalable data pipelines and ETL/ELT processes to integrate and harmonize scientific data (compounds, assays, experiments) from 30+ heterogeneous sources.
• Implement and maintain lakehouse architectures on AWS (S3, Glue, Athena, Iceberg) to support multibillion-record datasets.
• Develop federated query capabilities using Trino (or similar distributed engines) for unified access across platforms like PostgreSQL, Snowflake, and others.
• Build robust backend services, RESTful APIs, and data services using Python (FastAPI, Flask preferred) to enable seamless data flow and integration with scientific tools (e.g., Benchling, computational chemistry systems, AI/ML endpoints).
• Performance Optimization & Troubleshooting
• Optimize query and database performance for complex analytical workloads across PostgreSQL, Iceberg, Trino, and other platforms.
• Implement caching, indexing, and query tuning techniques to improve response times and scalability as data volumes and user bases grow.
• Apply reverse engineering and advanced troubleshooting skills to debug complex data issues, pipeline bottlenecks, application failures, and performance problems proactively.
• Monitor systems, identify root causes, and implement fixes for data and application reliability.
• Data Visualization & User-Facing Analytics
• Design and develop interactive dashboards, visual analytics, and scientific data visualizations using Power BI and Spotfire (or equivalent tools).
• Create reusable visualization components and data-rich UIs (React/TypeScript preferred) to enable scientists to search, filter, explore, and interpret complex datasets—including dose-response curves, chemical structures, and analytical results.
• Translate scientific and engineering data into clear, actionable visual insights for researchers and stakeholders.
• Software Engineering & Quality Practices
• Apply best software engineering practices: modular/reusable design, clean code principles, code reviews, comprehensive documentation, and creation of maintainable libraries/services.
• Write high-quality unit, integration, and end-to-end tests; use mock data effectively to create reliable automated test cases and ensure code stability.
• Implement CI/CD pipelines for automated testing, deployment, and monitoring on AWS (EC2, ECS, Lambda, S3).
• Collaborate on full-stack features from database to frontend, ensuring end-to-end functionality, security (SSO/LDAP), and performance.
• Collaboration & Governance
• Partner with scientists, UX designers, and cross-functional teams to gather requirements, conduct user testing, and iterate on usability.
• Implement data validation, quality checks, metadata management, and governance to ensure compliance and accuracy.
• Contribute to engineering best practices and foster a culture of quality and scalability.

Requirements:

• Education & Experience
• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or a related technical field.
• 3+ years of professional experience in data engineering, full-stack development, or closely related roles.
• Proven track record of building and delivering production-grade data pipelines, platforms, and/or user-facing scientific applications.
• Technical Skills
• Programming: Intermediate to strong proficiency in Python (core for pipelines, backend, and data manipulation with pandas/PySpark); familiarity with JavaScript/TypeScript for frontend.
• Data Engineering: Hands-on experience creating scalable pipelines, ETL/ELT processes, and distributed processing (Spark, Trino/Presto).
• Databases & Querying: Deep expertise in relational databases (PostgreSQL), modern warehouses (Snowflake, Redshift), and query engines; strong focus on query performance improvement and optimization.
• Cloud Platforms: Practical experience with AWS services (S3, Glue, Athena, Lambda, RDS, EC2/ECS).
• Data Visualization: Proven experience with Power BI and Spotfire (or similar) for scientific and analytical dashboards/visualizations.
• Frontend (preferred): Modern JavaScript/TypeScript frameworks (React preferred), responsive UI development, and component libraries.
• Testing & Quality: Strong unit testing skills; experience writing automated tests with mock data for robust coverage.
• Tools & Practices: Git for version control; API design (RESTful); CI/CD; clean code and reusable library development.
• Core Competencies
• Excellent reverse engineering and troubleshooting capabilities for complex data and system issues.
• Strong problem-solving skills with attention to detail and commitment to data quality/accuracy.
• Ability to work independently and collaboratively in cross-functional, scientific teams.
• Excellent communication skills to bridge technical concepts with non-technical stakeholders (scientists, researchers).

Best-In-Class-Benefits:

We are in the people business; treating people right is our ONLY priority. Theoris Services consultants are full-time employees with full benefits, including:

• Robust Health Insurance
• 401(k) plan

About Theoris:

Our goal is to Fuel Your Career! As a Theoris team member, you join a culture based on people-centered values and an environment that fosters both personal and professional growth. We build long-term relationships with our clients and our consultants. With over 30 years of building strong relationships in the industry, we’re uniquely positioned to make the right connections. This knowledge is used to find the right job placement. Our recruiting teams are experts dedicated to the information technology and engineering staffing space and are highly respected by our client base.

Job Title: Software Engineer II

Location: Redmond, WA

Contract: 12 months

Pay Rate: $87.29/hr, W2

Benefits: Medical, Dental, Vision and Weekly Pay

Job Summary(2-4 Years):

We are seeking a highly skilled and motivated Software Engineer to join our specialized engineering team. This role is centered on the development of sophisticated software for advanced hardware control and lab automation, with a primary focus on aero-acoustic wind tunnel systems. In this role, you will use Python to design, build, and enhance control mechanisms for both a classic recirculating wind tunnel and a Client modular fan-array wind tunnel. This position offers a unique and exciting opportunity to work at the intersection of software development, robotics, acoustics, and aerodynamics.

Key Responsibilities:

• Design, develop, and maintain high-quality, reusable, and reliable Python code for controlling complex hardware systems, including wind tunnel fan arrays and associated mechanical components.
• Implement and optimize control algorithms for real-time performance and precision, including PWM control for fan motors and actuators.
• Develop software to program and generate a variety of airflow conditions, including laminar, turbulent, gradient, and time-varying flows.
• Create and manage control interfaces for secondary systems, including robotic HATS (Head and Torso Simulator) movers, lift systems, and multi-channel spatial audio (HOA) setups.
• Integrate data from motion capture systems (e.g., Optitrack) for real-time tracking and system alignment.
• Develop and execute automated procedures for the calibration of wind speeds, acoustic sensors, and other critical measurements.
• Build and maintain data pipelines for capturing, processing, and analyzing experimental data from a wide range of sensors.
• Troubleshoot and resolve complex software and system-level issues to ensure high availability and reliability of all lab equipment.
• Produce clear and comprehensive documentation for software architecture, APIs, and operational procedures.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or a related field.
• Proven professional experience in Python programming with a strong emphasis on hardware control, lab automation, or robotics.
• Solid understanding of control systems theory, digital signal processing, and data acquisition principles.
• Strong foundational knowledge of fluid mechanics, aerodynamic principles, and acoustic measurement techniques.
• Experience working in a laboratory or R&D environment is highly desirable.
• Demonstrated ability to debug complex, multi-component systems that include both hardware and software.
• Excellent communication and collaboration skills, with an ability to work effectively in a multidisciplinary team.

Technical Skills

Required:

• Proficiency in modern Python (3.8+) and object-oriented design.
• Experience with scientific computing and data analysis libraries (NumPy, SciPy, Pandas).
• Experience with hardware control interfaces and protocols (e.g., PWM, serial, Ethernet).
• Experience with libraries for audio signal processing or multi-channel data acquisition (e.g., sounddevice, librosa).
• Competency with version control systems, particularly Git.
• Experience using configuration file formats like YAML or JSON.
• Knowledge of network communication protocols and experience with REST APIs.

Preferred:

• Experience with motion control systems for robotics or automation.
• Familiarity with spatial audio technologies, particularly High-Order Ambisonics (HOA).
• Experience integrating motion capture systems (e.g., Optitrack) into control software.
• Experience with advanced aerodynamic measurement techniques such as Particle Image Velocimetry (PIV).
• Familiarity with GUI development frameworks for creating internal tools.
• Experience with cross-platform software development (Windows, macOS, Linux).

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.

#TMN

Job Description

This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing the Large Language Models (LLMs). The successful candidate will work on pioneering research projects that push the boundaries of what AI can achieve, particularly in the domain of multimodal learning. You will have the opportunity to develop innovative algorithms and models that integrate multiple data modalities, collaborate with industry partners, and contribute to high-impact publications.

Job Responsibilities

1. Research and Innovation:Conduct cutting-edge research in AI, machine learning, and multimodal learning, with a focus on developing Large Language Models (LLMs) that process and generate multimodal data (text, audio, video, images).Explore and implement new algorithms and methodologies to enhance the performance of LLMs in various real-world applications.

2. Model Development and Optimization:Design, build, and fine-tune LLMs and other AI models to address complex challenges in multimodal learning.Develop scalable and efficient architectures for deploying models in real-world environments.

3. Collaboration and Industry Partnerships:Collaborate closely with industry partners to align research with practical applications, ensuring that developed models and solutions address real-world needs.Participate in cross-functional teams to apply research findings to industry-related projects.

4. Publishing and Dissemination:Prepare and publish high-quality research papers in top-tier journals and present findings at leading academic conferences.Contribute to technical reports and documentation for both academic and industry audiences.

5. Mentorship and Lab Contributions:Mentor graduate and undergraduate students in the lab, guiding them in research methods, experimental design, and technical skills. Contribute to the overall success of the lab by collaborating on ongoing projects and assisting with grant proposals and reports.

Minimum Qualification

Ph.D. from an accredited institution in Computer Science, Electrical and Computer Engineering, or a related field with a focus on AI, NLP (natural language processing), machine learning, or data science.

Preferred Qualifications

Expertise in Deep Learning and LLMs(Large Language Models): Knowledge in building applications and fine-tuning models like Llama 3, Gemma, Mistral AI, and others.
Multimodal Learning Experience: Demonstrated experience in integrating and processing multiple data modalities (text, audio, video, images) using AI/ML techniques.
Programming Proficiency: Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, and associated libraries.
Research Excellence: Proven track record of publications in high-impact journals and conferences in relevant fields.
Collaborative Mindset: Ability to work effectively in a multidisciplinary team, with strong communication and leadership skills.

Department

Work Schedule

Type of Appointment

Expected Salary

Equal Employment Opportunity Statement:

The University of Central Florida is an Equal Opportunity/Affirmative Action Employer including Disabled/Vets. Click on UCF's Equal Opportunity Statement to view the President's Statement.

The UCF affirmative action plans for qualified individuals with disabilities and protected Veterans are available for inspection in the Office of Institutional Equity, Monday through Friday, from 9:00 a.m. to 5:00 p.m., upon request.

As a Florida public university, UCF makes all application materials and selection procedures available to the public upon request.

The University of Central Florida is proud to be a smoke-free campus and an E-Verify employer.

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 Company is currently seeking Software Architects to support our Phantom Works Software Engineering team located in Berkeley, MO or Mesa, AZ. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization.

This role will be part of the Phantom Works Open Architecture Systems Integrated Software (OASIS) Solutions team. This position is responsible for defining and developing the software architecture for real-time software air and/or space systems in an Agile software development environment. Integration across other teams of software and hardware components will be required. You will be working with some of the best engineers at Boeing in an inclusive team environment. At The Boeing Company, 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.

Position Responsibilities:

• Develop, own and maintain the software architecture with focus on interface clarity, stability, and versioning to minimize integration risk, with a focus on production type software that is easily maintainable.
• Partner with appropriate stakeholders to inform system definition and oversee translation of system-level requirements into software requirements and models that meet customer, operational and performance requirements and have clear traceability to design, code and test artifacts.
• Manage supplier/subcontractor software deliverables to ensure they meet team processes and integration requirements.
• Lead the software engineering team's agile delivery: facilitate sprint planning, daily stand-ups, sprint reviews/retrospectives, and remove impediments to flow.
• Serve as the Agile/Delivery lead for software—own backlog prioritization with product/system owners, define sprint goals, and ensure timely delivery of integration-ready increments.
• Define, document, and enforce software integration contracts (ICDs or equivalent living artifacts), data models, and message definitions in coordination with Integration & Test and Systems leads.
• Ensure software is designed for testability: require unit, component, integration, SIL/HIL test artifacts with code deliveries, include observability hooks, and ensure failures are diagnosable.
• Lead DevSecOps and CI/CD practices for the team: ensure pipelines support repeatable builds, automated testing, artifact traceability, and consistent deployments across dev, integration, and test environments.
• Collaborate with Integration & Test to align delivery cadence to integration increments and controlled configuration baselines.
• Drive verification & validation execution for software components: support development of test strategies, analyze test results, and triage defects with the team.
• Establish and track delivery metrics (velocity, cycle time, quality metrics, technical debt) and use them to improve predictability and quality.
• Coach and mentor engineers on agile practices, test automation, CI/CD, code quality, and observability.
• Contribute to risk and issue management that affects software delivery and integration readiness; escalate when necessary to protect integration milestones.
• Document integration results, test findings, and provide inputs for design reviews and readiness assessments.

Basic Qualifications (Required Skills/ Experience):

• Bachelor's Degree in an engineering discipline or 22 years equivalent related experience
• Active U.S. Top Secret Security Clearance, or clearance active within past 24 months (U.S. Citizenship required)
• 5+ years of experience in leading efforts in analyzing and translating requirements into system architecture, hardware and software designs and interface specifications
• Experience as an Agile Systems or Software Development Team Lead
• 5+ years of experience with the DevSecOps lifecycle
• 5+ years of experience of DevOps experience (Git, Jenkins, or other CI/CD tools)
• 5+ years of experience with configuration management and collaboration tools such as (or similar to) Git, JIRA, Collaborator, Beyond Compare, and VersionOne
• 1+ years of Proficient with scripting/programming languages used for automation and testing (e.g., Python, Bash)

Preferred Qualifications (Desired Skills/Experience):

• Advanced degree (MS/PhD) in a relevant field.
• Practical experience with requirements tracing and configuration management.
• Certified Scrum Master (CSM), Professional Scrum Master (PSM), SAFe Agilist, or equivalent agile certification.
• Prior leadership on aerospace, defense, avionics, or other safety‐critical systems.
• Experience with cloud-native infrastructures (Docker/Kubernetes, AWS GovCloud, Azure Government).
• Experience with model-based design/verification and SIL/HIL testing environments.
• Experience managing subcontractor software deliveries.
• Significant experience with real-time embedded software (C/C++), low-level driver development, network stacks, and hardware/software testing/debugging for microcontrollers and/or FPGAs
• Experience & ability to implement real-time embedded hardware, firmware & software
• Possess strong analytical skills, knowledge & proficiency with physical modeling and simulation tools
• High level software development experience for applied physics, modeling, and/or simulation using MATLAB, Python, and or Jupyter, etc.
• Experience in real-time embedded systems and low-level driver development with microcontrollers, single board computers, and/or FPGAs
• Perform control system logic/algorithm, hardware, and software development tasks
• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.

Travel: 10%

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.

CodeVue Coding Challenge:

To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.

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: $177,650 - $240,350

Potential signing bonus for eligible/qualified external candidates.

Applications for this position will be accepted until Mar. 25, 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

Relocation

This position offers relocation based on candidate eligibility.

Security Clearance

This position requires an active U.S. Top 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.