Software Engineer

Oakland, California
IDj-12970
Job TypeDirect Hire
Remote TypeHybrid

TITLE: Software Engineer

ENVIRONMENT: Autonomous vehicles

LOCATION: Oakland, CA       Hybrid

COMPENSATION RANGE: $210,000.00 - $300,000.00     DOQ

DEGREE REQUIREMENTS: Bachelor’s Degree

CITIZENSHIP:  Must be a U.S. Citizen or Green Card Holder and able to work for any U.S. Employer 

EXPERIENCE LEVEL: 5+ years experience

NUMBER OF POSITIONS AVAILABLE: 1

POSITION SUMMARY:

Looking for a software engineer with 5+ years of experience in autonomous systems or robotics who has strong C++ skills and hands-on experience developing autonomy software that runs on real vehicles. You should be comfortable working across the autonomy stack, perception, localization, planning, decision-making, and vehicle behavior, and have a track record of shipping production-quality algorithms on physical hardware. Bonus points if you've worked in autonomous driving, aerospace, defense, or maritime systems.

What you'll do:

  • Design, implement, and deploy production autonomy software in C++ that runs onboard our autonomous maritime vehicles
  • Develop and integrate algorithms for autonomous perception, localization, planning, navigation, decision-making, and collision/terrain avoidance
  • Contribute to sensor fusion work — integrating radar, camera, and other sensor modalities into a unified data stream for situational awareness and path planning
  • Build and maintain local and global planners that consume map data and sensor data to determine optimal routes and vehicle behavior
  • Evaluate algorithmic approaches and make practical tradeoffs among accuracy, robustness, computational cost, latency, and reliability on constrained onboard compute (Nvidia Jetson)
  • Use simulation, testing, telemetry, and real-world vehicle data to validate autonomous behavior and diagnose failures — including building your own tooling (often in Python) to accelerate the development cycle
  • Contribute to the architecture and evolution of our next-generation autonomy stack as part of a multi-year roadmap to expand autonomous capabilities

 

 

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