Skip to main content

Shield AI

Autonomy Engineer- Behavior and Motion Planning (R6007)

San Diego, California$135k–$300kfull time employeemidAdded today

About this role

Shield AI seeks an Autonomy Engineer to develop and optimize path planning algorithms for autonomous systems operating in complex environments. You'll work on the Behavior and Motion Planning team to advance the Hivemind SDK through algorithm development, validation, and cross-functional collaboration, with scope tailored to your experience level.

What you'll do

  • Develop and optimize path planning and motion planning algorithms for autonomous systems
  • Implement and validate planning components and technical capabilities
  • Collaborate with cross-functional teams to deliver scalable autonomy solutions
  • Contribute to technical requirements, test plans, and performance validation
  • Shape architecture and roadmaps for planning systems (senior level)
  • Mentor other engineers on the team (senior level)

What they're looking for

  • Path planning and motion planning algorithms
  • Robotics and autonomous systems
  • C++ or Python software development
  • Real-time systems optimization
  • Algorithm validation and testing
  • Artificial intelligence and optimization techniques
  • Cross-functional collaboration
  • Technical documentation and architecture design
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

Shield AI

Shield AI develops autonomous defense aircraft platforms, including systems like the V-BAT, requiring sophisticated hardware integration and testing. The company is hiring mechanical engineers, electrical engineers, and supplier development specialists to design aircraft systems, develop test solutions, and manage aerospace supply chains.

View all jobs at Shield AI

Likely interview questions

  • What experience do you have implementing path planning algorithms, and which specific algorithms have you worked with?
  • How have you approached optimizing algorithms for real-time performance constraints in autonomous systems?