15 часов назад
Principal Engineer, Mapping and Localization (C++)
200 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Engineer, Mapping and Localization (C++): Designing high-fidelity localization and mapping systems for autonomous trucks by fusing LiDAR, Radar, Camera, IMU, GNSS, and HD Maps with an accent on centimeter-level accuracy and real-time embedded performance. Focus on solving GPS-denied and dynamic-environment edge cases, building change-detection pipelines for large-scale HD maps, and leading localization architecture.
Location: Santa Clara, California, United States; Workplace: Hybrid
Salary: $200,000–$260,000 per year
Company
is a Physical AI company developing AI-based virtual driver software for factory-built autonomous trucks, with operations in the United States and Europe.
What you will do
- Lead the design and evolution of localization architecture, technical roadmaps, and build-versus-buy decisions.
- Design real-time sensor-fusion, visual and LiDAR odometry, and global-localization algorithms using factor graphs, EKF/UKF, and particle filters.
- Develop pipelines to generate, maintain, query, and continuously update LiDAR-based HD maps.
- Build semantic map-matching and change-detection systems using fleet data to identify construction zones, lane shifts, and new signage.
- Optimize localization software for embedded latency, memory, and power constraints while maintaining safety and accuracy.
- Provide localization self-diagnosis capabilities, mentor engineers, and conduct rigorous code reviews.
Requirements
- M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field.
- 7+ years of industry experience in robotics, including at least 4 years with production-level localization or mapping systems.
- Expert-level Modern C++14/17/20, including memory management, multithreading, and real-time systems.
- Strong knowledge of probabilistic robotics, Kalman filtering, nonlinear optimization, and SLAM.
- Deep understanding of 3D geometry, linear algebra, coordinate transformations, quaternions, and SE(3).
- Familiarity with Eigen, Ceres, PCL, OpenCV, and GTSAM.
Nice to have
- Experience shipping localization stacks for deployed autonomous vehicles or mobile robots.
- Hands-on experience with LOAM, lego-LOAM, ORB-SLAM, or VINS.
- CUDA/GPU programming or optimization for ARM-based embedded platforms.
Culture & Benefits
- Work in an innovative, future-oriented autonomous-driving field.
- Opportunities for personal and professional development.
- Catered free lunch, unlimited snacks, and beverages.
- Competitive benefits package including a 401(k) plan.
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