A/AI Machine Learning Engineering Sr - E3

Lockheed Martin

Posted 24d ago

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Develop, integrate, and implement algorithms to enable mission planning and motion control of autonomous vehicles
Responsible for various phases of developing and maintaining autonomy software from requirements generation through design, development, integration, testing, troubleshooting, and debugging
Translate requirements and apply requirements to development code
Review test outcomes, conduct troubleshooting, and work to debug issues
Implement interfaces for integration with other components of the autonomy stack

Must have the ability to obtain a secret clearance
Bachelor of Science in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or related field
Knowledge of software and system architecture patterns
Knowledge of application areas (computer vision, natural language processing, signal processing, robots, multi-agent systems, manned-unmanned teaming, etc.)
Demonstrated history of building prototypes in rapid prototyping environment
Experience working and collaborating in a multi-disciplinary research team setting
Experience using modeling languages including UML/SysML and integrated modeling tools like Enterprise Architect
Experience designing and implementing classical autonomy algorithms (expert systems, A* route planning, etc.)
Fully Proficient in C++ programming experience
Experience with modern software development tools (git, docker, etc.)

Previous experience with applying advanced AI methods through applied research
Experience with simulation, Hardware in the Loop (HWIL), and field testing of embedded autonomy solutions
Knowledge of Database/SQL
Experience with Cuda and GPU implementation of path planning
Docker/Kubernetes, computer vision, fusion, optimization, localization, mission planning, signal processing, Java experience is a plus

Skills