The Role
Develops, integrates, tests, and deploys autonomy, AI, and machine learning algorithms for mission systems. Leads technical and multidisciplinary engineering efforts, delivers production AI systems using LLMs and generative AI, and supports the full software lifecycle from requirements through implementation. Responsibilities include perception, planning, controls, human-machine interfaces, cloud deployment, troubleshooting, mentoring engineers, and guiding technical projects.
Summary Generated by Built In
Standard Job Description
Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces
Basic Qualifications
- Bachelor’s degree in Computer Science, Data Science, Software Engineering, Computer Engineering, Mathematics, or a related technical field, or equivalent professional experience.
- Strong communication skills with the ability to work effectively with engineering teams, program leadership, and customers.
- Demonstrated experience leading technical teams or multidisciplinary engineering efforts.
- Technical background in AI/ML, data science, software engineering, or a related discipline.
- Demonstrated experience designing and delivering AI-powered production systems — including hands-on work with LLMs and/or Generative AI
- Experience with agentic workflows and production-level LLM tool-calling — designing, deploying, and operating them at scale
- Experienced in agile development methodologies and version control systems (e.g., Git)
- Experience deploying applications on cloud-based platforms and with containerization (e.g., Harbor, Docker, Kubernetes, OpenShift, AWS)
- Actively contributes to the development of new concepts and demonstrates full knowledge of industry and company practices with expertise in the field and related disciplines
Desired Skills
- Experience mentoring engineers and fostering a collaborative, high-performing team environment
- Ability to establish priorities, manage technical risks and dependencies, and align team execution with program objectives
- Experience guiding technical projects through planning, development, integration, testing, and delivery.
- Advanced proficiency in Python, with production experience in React and TypeScript (able to mentor others)
- Knowledge of Model Context Protocol (MCP) and agentic frameworks (e.g., AWS Strands Agents SDK, multi-agent orchestration patterns)
- Practical experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server)
- Design and delivery experience in RESTful API development and integration
- Regular and strategic use of GenAI coding assistants (Claude Code, Cline, Windsurf, GitHub Copilot)
- Proficiency in additional languages (e.g., Java, C++, Go, Rust) with contributions to core services written in those languages
- Familiarity with ISO/IEC 15288 systems-engineering processes, requirements traceability (RVTM), and Architecture Decision Records (ADRs)
Pay Information
GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.
- Full-time salary range (GEOZONE 1): $150800.00 - $280000.00
- Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.
- Full-time salary range (GEOZONE 2): $135700.00 - $251900.00
- Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
- Full-time salary range (GEOZONE 3): $120600.00 - $224000.00
- Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
- Full-time salary range (GEOZONE 4): $108600.00 - $201600.00
- Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc.
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only.
Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
Skills Required
- Bachelor’s degree in Computer Science, Data Science, Software Engineering, Computer Engineering, Mathematics, or a related technical field, or equivalent professional experience.
- Strong communication skills and ability to work effectively with engineering teams, program leadership, and customers.
- Experience leading technical teams or multidisciplinary engineering efforts.
- Technical background in AI/ML, data science, software engineering, or a related discipline.
- Experience designing and delivering AI-powered production systems, including hands-on work with LLMs and/or Generative AI.
- Experience with agentic workflows and production-level LLM tool-calling at scale.
- Experience with agile development methodologies and version control systems such as Git.
- Experience deploying applications on cloud platforms and using containerization technologies such as Harbor, Docker, Kubernetes, OpenShift, or AWS.
- Advanced knowledge of industry and company practices with expertise in the field and related disciplines.
- Experience mentoring engineers and fostering a collaborative, high-performing team environment.
- Ability to establish priorities, manage technical risks and dependencies, and align execution with program objectives.
- Experience guiding technical projects through planning, development, integration, testing, and delivery.
- Advanced proficiency in Python and production experience with React and TypeScript.
- Knowledge of Model Context Protocol and agentic frameworks such as AWS Strands Agents SDK and multi-agent orchestration patterns.
- Practical experience with relational databases such as PostgreSQL, MySQL, or SQL Server.
- Experience designing and delivering RESTful API development and integration.
- Strategic use of generative AI coding assistants such as Claude Code, Cline, Windsurf, or GitHub Copilot.
- Proficiency in additional languages such as Java, C++, Go, or Rust, with contributions to core services.
- Familiarity with ISO/IEC 15288 systems-engineering processes, requirements traceability, RVTM, and Architecture Decision Records.
Lockheed Martin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lockheed Martin and has not been reviewed or approved by Lockheed Martin.
-
Retirement Support — Retirement benefits are described as a standout element, with a strong 401(k) program and options like an employee stock purchase plan. Feedback suggests these features meaningfully enhance total compensation and long‑term financial security.
-
Healthcare Strength — Healthcare coverage is portrayed as comprehensive from day one, with multiple plan options, mental health resources, and virtual care. Wellness supports such as on‑site services and preventive programs are also highlighted.
-
Flexible Benefits — Work arrangements often include compressed schedules and telework, contributing to a favorable work‑life balance. Feedback suggests this flexibility is a key reason many view the overall package positively.
Lockheed Martin Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Customer Focus, Innovation and Purpose are Built Into Everything We Do. Lockheed Martin. Your Mission is Ours ™. Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services.
