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A/AI Machine Learning Engineering - Level 2
Job in
Fort Worth, Tarrant County, Texas, 76166, USA
Listed on 2026-10-16
Listing for:
Lockheed Martin
Full Time, Part Time, Seasonal/Temporary
position Listed on 2026-10-16
Job specializations:
-
Software Development
Software Engineer, AI Engineer (Applied/Software), Embedded Software Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Yes
ERP amount: $50 LMRecognition
Relocation:
Possible Type:
Exempt
Shift: 1
Clearance Prior to Start:
Interim Secret Final Clearance:
Secret with Investigation or CV date within 5 years
Pay Transparency: $81,100.00 - $Experience Level: Experienced Professional FT/PT/Casual:
Full Time Department : LM Aeronautics Co
- Fort Worth Business Unit: LM Aeronautics Co
- Fort Worth 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 WHO WE AREThe Skunk Works (Lockheed Martin Advanced Development Programs) is looking for world-class talent in Software Engineering to be a part of a team that will carry on our 80-year tradition-making history in advanced aircraft development. The vehicle management software team writes software for a wide range of aircraft subsystems that make an airplane fly. We are a highly innovative fast-paced team working developing modular and reusable software to support both our current platforms and the aircraft of the future.
WHAT’S IN IT FOR YOU3-day weekend every weekend! 4-10 Mon-Thursday option + Flexible Schedules This team is working on new development software where our team members get to work hands on from the lab to the aircraft in all stages of development, including design, code, integration, and lab and field test. We work on a wide range of technologies and give our team members the opportunity to drive their careers towards their area of interest.
This position offers meaningful and exciting technical work spanning both software development and supporting integration and test for a multi-site team. You will be able to use this opportunity to learn from some of our most talented and senior engineers to grow into a subject matter expert to support both our current platforms and our platforms of the future.
YOUR IMPACTYou will be able to take your experience with embedded software, AI/ML capabilities, and avionics and use it to help develop software for a wide range of aircraft systems supporting both rapid prototyping efforts and deliverable software.
The responsibilities for this role will include:
Full software lifecycle development spanning across many avionics services, ground station development, and mission system software technologiesAI/ML model development Supporting ground station development for manned and unmanned systems
Development of simulations to support software development
Interfacing with key software and systems engineers to define requirements for rapid prototypes
Participating in integration and test events
Define AI/ML project…
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