Senior AI/ML Autonomy Engineer

Lockheed Martin

Fort Worth (TX)

On-site

USD 98,000 - 182,000

Full time

22 hours ago
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Benefits offered by this job

Medical benefits
401(k) match
Flexible work schedule

Job summary

Lockheed Martin in Fort Worth, TX develops, integrates, and deploys autonomy and AI algorithms across mission systems, supporting development from requirements through testing and deployment. You will translate requirements into software, integrate AI components, and contribute to human-machine interface design within LM products and platforms.

The role emphasizes collaboration, rigorous testing, and ongoing documentation, with opportunities to advance across the autonomy software lifecycle and

Qualifications

  • Bachelor’s degree or equivalent professional experience.
  • Experience with Python and AI Frameworks.
  • Project Management experience with software development.
  • Excellent written and verbal communication skills.

Responsibilities

  • Develops, integrates, and deploys autonomy and AI algorithms for LM products and platforms.
  • Translates requirements into software and implements ML/AI components.
  • Mentor testing, debugging, and troubleshooting across the development lifecycle.
  • Design human-machine interfaces and document interface requirements.
  • Review test outcomes and perform troubleshooting.

Skills

Python
AI Frameworks
Project Management
Communication skills

Education

Bachelor's degree

Tools

Blue Prism
UiPath
LangChain
LangGraph
Playwright
pywinauto
Neo4J
Ontop
Protege
OpenCode
Clinerule
Git
CI/CD

Job description

Lockheed Martin in Fort Worth, TX develops, integrates, and deploys autonomy and AI algorithms across mission systems, supporting development from requirements through testing and deployment. You will translate requirements into software, integrate AI components, and contribute to human-machine interface design within LM products and platforms.

The role emphasizes collaboration, rigorous testing, and ongoing documentation, with opportunities to advance across the autonomy software lifecycle and

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