AI/ML Engineering Sr Stf; Electronic Warfare
Job in
Littleton, Arapahoe County, Colorado, 80166, USA
Listing for:
Lockheed Martin
Full Time, Part Time, Seasonal/Temporary
position
Listed on 2026-11-05
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Software Engineer
Job Description & How to Apply Below
Requisition Eligible?:
Yes
ERP amount: $5,000
Relocation:
Possible Type:
Exempt
Shift: 1
Clearance Prior to Start:
Interim Secret Final Clearance:
Secret Pay Transparency: $ - $Experience Level: Experienced Professional FT/PT/Casual:
Full Time Department :
Enterprise Business Services Business Unit:
Enterprise Business Services 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
Join the Lockheed Martin Artificial Intelligence Center (LAIC) team and be part of a dynamic group that's pushing the boundaries of innovation in electronic warfare, 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:
• Leading development of advanced AI and machine-learning capabilities for radar, communications, and electronic warfare signal-processing applications
• Driving technical strategy from concept development through software integration, test, validation, and transition to fielded mission systems
• Leading cross-functional teams to advance, mature, and transition new AI-enabled signal-processing capabilities into high-impact mission applications
• Collaborating with program, systems engineering, software, and customer teams to address evolving mission requirements
Who are you:
You are a highly motivated and technically accomplished engineer with deep expertise in signal processing, artificial intelligence, and machine learning for mission systems. You possess:
• A strong foundation in technical leadership, including AI/ML architecture, model development, evaluation, and deployment
• Excellent interpersonal and communication skills, with the ability to lead technical discussions across engineering teams and customer organizations
• A self-motivated and proactive approach to advancing innovative capabilities, with strong judgment and execution skills
• The ability to work on-site at major Lockheed Martin facilitiesUS citizenship is required for this role Basic Qualifications
• Bachelor’s Degree in Engineering, Computer Science, or other related discipline
• Experience developing machine-learning and deep-learning capabilities using one or more frameworks, including PyTorch, Tensor Flow, JAX, or Keras.
• Experience with Python and multiple…
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