Senior Robotics Software Engineer, Perception

Sourced from feeny.ai

Parallel Systems builds autonomous battery-electric rail vehicles to move freight more cleanly and efficiently. As a Senior Robotics Software Engineer on perception, you will design geometry-based computer vision and sensor fusion algorithms and fuse lidar, camera, IMU, and GPS data in real time. You will take sensor selection, calibration, and fusion from first principles through production deployment alongside ML, firmware, and systems teams.

• Build and maintain real-time robotics software that fuses multi-modal sensor data from lidar, camera, IMU, and GPS
• Implement, validate, and test real-time sensor fusion code across simulation and field deployments
• Perform intrinsic, extrinsic, and temporal sensor calibration using linear algebra, 3D geometry, and optimization
• Design geometry-based computer vision and robotics algorithms for perception, tracking, and state estimation
• Define test and validation plans proving reliable 24/7 production operation
• Collaborate with ML, firmware, embedded platform, and systems engineers to integrate perception into the autonomy stack

• Bachelor's or higher degree in Robotics, Computer Science, Electrical Engineering, or related field (or equivalent experience)
• 4+ years developing and deploying robotics or perception software in real-world systems
• Strong background in geometry-based computer vision and robotics algorithms (multi-view geometry, filtering, optimization)
• Proficiency in Rust and C/C++
• Experience with real-time systems handling high-throughput, multi-modal sensor data and fusion

• ML-based perception experience
• Sensor calibration and optimization (Kalman/particle filters, non-linear optimization, 3D geometry)
• Sensor fusion, localization/SLAM, and online calibration
• GStreamer for real-time pipelines
• ROS2 or similar robotics middleware
• Publications at ICRA, IROS, RSS, or CoRL
• Hardware experience with IP-rated, ruggedized robotic systems
• Background in autonomous vehicles, field robotics, or safety-critical domains