Skip to main content

Shield AI

Engineer, Autonomy Integration (R5441)

San Diego, California$195k–$350kfull time employeemidAdded today

About this role

Shield AI seeks an Autonomy Integration Engineer to bridge perception software development with real-world flight testing. You'll collaborate across software, flight test, and integration teams to transition autonomy algorithms into verified flight-ready systems, with emphasis on hands-on deployment and field validation.

What you'll do

  • Serve as primary liaison between perception software developers and flight test operations
  • Deploy and validate autonomy/perception software on edge hardware platforms
  • Collaborate with autonomy, perception, and platform integration teams on system maturation
  • Conduct field testing and real-world validation of autonomous capabilities
  • Troubleshoot and optimize perception system performance in operational environments
  • Document integration workflows and test results for flight verification

What they're looking for

  • Autonomy or perception software deployment experience
  • Edge hardware integration and optimization
  • One or more of: detection, tracking, SLAM, or navigation systems
  • Flight test engineering or similar field validation
  • Systems integration and troubleshooting
  • Data analysis and performance evaluation
  • C++ or Python for embedded/autonomous systems
  • Hands-on problem-solving and rapid iteration
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

  • Describe your experience deploying perception or autonomy software on edge hardware—what platforms and algorithms have you worked with?
  • Tell us about a time you had to transition an algorithm from development to real-world field testing. What were the biggest challenges?
Unlock all 7 questions free — and practice them live →