Parallel Systems
Senior Robotics Software Engineer, Perception
$163K–$234K
Los Angeles, CA +1 · Senior · Full-time · Posted Sep 1, 2026
- Location
- Los Angeles, CA
Los Angeles, California, United States - Experience
- 4+ years of hands-on experience developing and deploying robotics or perception software in real-world systems.
- Education
- Bachelor's or higher degree in Robotics, Computer Science, Electrical Engineering, or a related technical discipline; equivalent experience considered.
About the job
Develop and deploy real-time perception and sensor-fusion software that enables autonomous rail vehicles to understand their surroundings.
What you'll do
- Build, test, and maintain real-time pipelines and algorithms that fuse lidar, camera, IMU, GPS, and other sensor data.
- Develop geometry-based perception, calibration, state-estimation, and tracking algorithms, and validate them in simulation and field deployments.
- Work with engineering teams on sensor selection, system integration, hardware considerations, and production test plans.
What they ask for
- Bachelor's or higher degree in Robotics, Computer Science, Electrical Engineering, or a related technical discipline; equivalent experience considered.
- 4+ years of hands-on experience developing and deploying robotics or perception software in real-world systems.
- Strong background implementing geometry-based computer vision and robotics algorithms.
- Proficiency in Rust and C/C++; experience with real-time systems and multimodal sensor fusion across lidar, camera, IMU, and GPS.
Nice to have
- Experience with sensor fusion, localization/SLAM, online calibration, or GStreamer.
- Experience with ROS2 or similar robotics middleware, rugged robotic hardware, or autonomous vehicles and other safety-critical domains.
Pay
$163,000 — $234,000 USD (base salary)
Tools
Rust, C/C++, lidar, camera, IMU, GPS, GStreamer, ROS2
AI focus
Develop geometry-based perception algorithms; ML-based approaches are a bonus.
Model-written summary · the original posting is authoritative