Senior Autonomy Software Engineer

Who you are

• Strong technical background. BS, MS or PhD with academic or industry experience in building navigation, localization, and odometry systems
• Expert in C++ and strong problem-solving skills
• Strong software engineering skills and experience building high-reliability deployed applications . You write well-designed, highly maintainable code. Code is your craft
• Deep experience transforming raw sensor data from GNSS, IMU, wheel speed, etc. into 6-DOF pose using Kalman Filtering, factor graphs, or comparable state estimation techniques — and judgment on when each approach is appropriate
• Experience with computer vision, visual odometry, and/or odometry from point clouds
• A history of mentoring engineers and elevating the technical practices of a team
• A team player. You take ownership and work with the team to deliver exceptional results. You are interested in the performance of the entire system across engineering disciplines
• Ability to build and iterate quickly. You enjoy working fast and smart, and you are comfortable in defining and building lasting infrastructure components from scratch
• Hands on. Curious. Flexible. Interested in new domains to expand your horizons and provide a complete system wide solution
• Great communicator. You have experience writing clear, concise design documentation to gather feedback from across the team to find the best solution

What the job involves

• We are looking for a Staff Engineer on our Calibration, Localization and Mapping (CLAM) team — a technical leader with deep expertise in state estimation, inertial navigation, and sensed odometry who can set technical direction across the team and organization
• Set the technical strategy and architecture for our onboard navigation and pose estimation systems
• Lead the design and development of advanced sensor fusion and pose estimation approaches across IMU, camera, and lidar sensors, anticipating failure modes before they arise in the field
• Drive the direction of visual and lidar odometry algorithms, including evaluating build-vs-adopt tradeoffs for new techniques
• Define and evangelize navigation metrics and evaluation methodology used across the org to assess algorithm and system performance
• Serve as a technical escalation point for complex, ambiguous, or cross-cutting localization problems
• Evaluate sensor performance and optimize sensor selection
• Verify correct sensor calibrations, settings, and uncertainty characterizations

Benefits

• Remote-friendly work environment
• 401k
• Generous PTO policy
• Life insurance
• Assortment of medical (PPO/HMO/HDHP), dental, vision, and FSA plans
• Family-friendly company events
• Dog-friendly office
• Employee-driven fitness classes
• Beautiful, renovated facilities in Mountain View, CA and Lancaster, TX
• Free EV charging
• Trivia and board game nights