I’m working with a fast-growing autonomous vehicle company that’s looking for a senior technical leader to own their Mapping & Localization architecture.
The role
You’ll design high-fidelity fusion algorithms that combine LiDAR, radar, camera, IMU and GNSS with HD maps to reach centimeter-level accuracy. You’ll tackle the hardest edge cases, from GPS-denied tunnels to dynamic construction zones, so vehicles operate safely in complex L4 ODDs.
What you’ll do
- Lead the design and evolution of the localization architecture, including build-vs-buy decisions and long-term technical roadmaps
- Build real-time sensor fusion, visual/LiDAR odometry and global localization using factor graphs, EKF/UKF and particle filters
- Develop pipelines to generate, maintain and query large-scale LiDAR-based HD maps
- Work on priors-based localization and semantic map matching
- Solve the “stale map” problem with change detection, using fleet data to spot construction zones, lane shifts and new signage and update maps in near real time
- Optimize for embedded compute constraints (latency, memory, power) without sacrificing safety or accuracy
- Build self-diagnosis capability for localization
- Mentor senior and junior engineers through rigorous code review
What you’ll bring
- MS or PhD in Robotics, CS, EE or a related field
- 7+ years in robotics, including 4+ years on production localization or mapping systems
- Expert modern C++ (14/17/20): memory management, multi-threading, real-time systems
- Strong grounding in probabilistic robotics: EKF/UKF, nonlinear optimization (Ceres, g2o, GTSAM) and SLAM
- Deep understanding of 3D geometry, linear algebra and coordinate transformations (quaternions, SE(3))
- Familiarity with Eigen, Ceres, PCL, OpenCV and GTSAM
Nice to have
- Shipped localization stacks on deployed autonomous vehicles or mobile robots
- Hands-on with LOAM, LeGO-LOAM, ORB-SLAM or VINS
- CUDA/GPU programming or optimization for ARM-based embedded platforms
Work at the frontier of a fast-moving field with real room to grow. Highly competitive salary and benefits package, including 401(k).
#Localization #Mapping #SLAM #SensorFusion #AutonomousVehicles #Robotics #HDMaps #Hiring #California
#J-18808-LjbffrStaff Engineer in ca at Unknown Company
This position is listed as full time and onsite.