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
Join the Lockheed Martin Artificial Intelligence Center (LAIC) team and be part of a dynamic group that's pushing the boundaries of innovation in radar systems engineering, signal processing, data science, artificial intelligence, and machine learning. As a key member of the Applied AI team, you'll have the opportunity to work on a wide range of projects that are transforming the way we approach complex challenges. With a focus on rapid iteration and deployment, you'll be instrumental in developing and maintaining cutting-edge AI capabilities that are making a real impact across the Lockheed Martin enterprise.
What you'll be doing:
• Researching state-of-the-art machine learning applications as they apply to fielded radar tracking systems
• Developing new capabilities to enhance tracking systems, from design, integration and test, to fielding
• Analyzing customer data to inform ML model performance assessments and updates
• Collaborating with cross-functional teams to address evolving operational requirements
• Working on-site at Moorestown, NJ
Who are you:
You are a highly motivated and organized individual with a strong working knowledge in radar systems engineering, signal processing, data science, artificial intelligence, and machine learning. You possess:
• A strong foundation in technical skills, including ML model development and deployment
• Excellent interpersonal and communication skills, with the ability to work effectively in a team environment
• A self-motivated and proactive approach to work, with a strong work ethic and time management skills
• The ability to work on-site at major Lockheed Martin facilities
US citizenship is required for this role
#LMLAIC
• Bachelor's Degree in Engineering, Computer Science, or related field
• Experience with large dataset management and machine learning
• Proficiency in Python and related libraries (e.g. NumPy, Pandas)
• Knowledge of MLOps pipeline and modern machine learning techniques
• Master’s Degree in Engineering, Computer Science, or other related discipline
• Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]
• Familiarity interfacing with databases (SQL, MongoDB, etc.)
• Experience with modern Computer Vision
• Experience with C++, Java, GO, and other compiled languages
• Experience developing applications on Linux
• Familiarity with network/messaging (UDP, ZeroMQ, RESTful API, etc.)
• Familiarity with high-performance computing
• Familiarity with radar systems and track processing
Pay Information
Full-Time Salary Range: $110300.00 - $204900.00
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 Engineering, Computer Science, or a related field
- Experience managing large datasets and developing machine learning models
- Proficiency in Python and related libraries such as NumPy and Pandas
- Knowledge of MLOps pipelines and modern machine learning techniques
- U.S. citizenship
- Ability to work on-site at major Lockheed Martin facilities, including Moorestown, New Jersey
- Master's degree in Engineering, Computer Science, or a related discipline
- Experience with Docker, Git, GitLab or GitHub, continuous integration, and continuous deployment
- Familiarity with SQL, MongoDB, or other databases
- Experience with modern computer vision
- Experience with C++, Java, Go, or other compiled languages
- Experience developing applications on Linux
- Familiarity with UDP, ZeroMQ, RESTful APIs, or similar networking and messaging technologies
- Familiarity with high-performance computing
- Familiarity with radar systems and track processing
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.
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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.
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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.
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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
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.
