13 часов назад
Senior/Staff Software Engineer, Localization (Autonomous Vehicles)
180 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior/Staff Software Engineer, Localization (Autonomous Vehicles): Building robust, real-time sensor-fusion and localization solutions for autonomous vehicles with an accent on GPS-IMU integration, SLAM, and map-based localization. Focus on designing high-accuracy algorithms, processing lidar and camera data, and validating system performance in challenging urban and unstructured environments.
Location: Onsite five days per week in Santa Clara, California, United States
Salary: $180,000–$250,000 per year
Company
develops Level 4 autonomous transportation technology for short-haul, B2B middle-mile logistics, integrating proprietary software and hardware into autonomous truck fleets.
What you will do
- Design, develop, and optimize sensor-based localization and odometry algorithms for autonomous vehicles.
- Build sensor-fusion pipelines using IMU, GPS, lidar, and other sensor data.
- Develop and integrate real-time SLAM for structured and unstructured environments.
- Collaborate with perception, mapping, and control teams to integrate localization into the autonomous driving stack.
- Test and validate algorithms in simulation and real-world scenarios, including challenging urban environments.
- Debug field-test issues, research advanced lidar and camera localization methods, and improve real-time performance and system robustness.
Requirements
- Master’s or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field.
- 6+ years of production C++ software development experience, including architecture, unit testing, code review, and algorithm performance trade-offs.
- 2+ years of experience in autonomous vehicles or ADAS.
- Experience developing localization for autonomous vehicles or robotic systems, especially GPS-IMU sensor fusion and SLAM.
- Proficiency in C++ and Python, with hands-on ROS or ROS2 experience.
- Expertise in pose estimation, probabilistic and Kalman filtering, nonlinear optimization, sensor calibration, large-scale datasets, and real-time performance requirements.
Nice to have
- Experience with MATLAB or Simulink.
- Strong linear algebra, probability, and optimization skills.
- Experience optimizing and deploying real-time control systems.
Culture & Benefits
- Work on autonomous transportation technology for commercial middle-mile logistics.
- Collaborative, respectful, and agile working culture.
- Inclusive environment focused on diversity, professional growth, and equal opportunity.
- Opportunity to contribute to safer, more resilient, and more sustainable freight transportation.
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