17 days ago
Mountain View, CA, USASenior
Base Salary
$180k - $240k/yr
Responsibilities
- Develop and integrate onboard navigation and pose-estimation algorithms.
- Optimize sensor fusion and pose estimation using IMU, camera, and lidar sensors.
- Develop visual and lidar odometry algorithms.
- Develop navigation metrics to evaluate onboard and offboard autonomous-trucking algorithms and systems.
- Evaluate sensor performance and optimize sensor selection.
- Verify sensor calibrations, settings, and uncertainty characterizations.
- Build maintainable, high-reliability software and infrastructure components.
- Collaborate across engineering disciplines and communicate designs through clear documentation.
Requirements
- Bachelor’s, master’s, or PhD with academic or industry experience building navigation, localization, and odometry systems.
- Strong proficiency in C++.
- Strong software engineering skills and experience building high-reliability deployed applications.
- Experience transforming raw GNSS, IMU, wheel-speed, or similar sensor data into a 6-DOF pose using approaches such as Kalman filtering or factor graphs.
- Experience with computer vision, visual odometry, and/or odometry from point clouds.
- Solid understanding of metrics, data analysis, and scientific evaluation.
- Strong problem-solving, collaboration, ownership, communication, and system-level thinking skills.
Benefits
- Competitive compensation package including equity and annual bonuses.
- Medical, dental, and vision plans, plus legal, identity protection, disability, life, accident, hospital indemnity, and critical illness coverage.
- Flexible PTO, 10 paid holidays, and parental leave.
- Mountain View, California office with a dog-friendly environment, catered lunch, stocked kitchen, and free EV charging.
- Wellbeing benefits including Headspace, Calm, One Medical, Gympass, Spring Health, and Rula.
- Fidelity 401(k), commuter benefits, FSA, dependent care FSA, HSA, referral bonuses, and patent bonuses.
- The role is office-based in Mountain View, California.
