Senior Robotics Software Engineer, Perception
Develop and deploy real-time perception and sensor-fusion software for autonomous battery-electric rail vehicles. The role requires strong robotics, geometry-based computer vision, C/C++ and Rust experience, plus hands-on work with multimodal sensors and production systems.
About the job
Responsibilities
- Build and maintain real-time robotics software that ingests and fuses high-throughput, multimodal data from lidar, cameras, IMUs, GPS, and other sensors.
- Implement, validate, and test real-time sensor-fusion code in simulation and real-world deployments.
- Perform intrinsic, extrinsic, and temporal sensor calibration; apply linear algebra, 3D geometry, and optimization to state-estimation problems.
- Design and implement geometry-based computer-vision and robotics algorithms for real-time perception, including multiview geometry, filtering, and tracking.
- Evaluate sensor selection and system-level tradeoffs; define test and validation plans for reliable 24/7 production operation.
- Contribute to sensor-system hardware design, including IP-rated ruggedized enclosures and mounts.
- Build and maintain real-time sensor and video streaming and processing pipelines.
- Collaborate with ML, firmware, embedded-platform, and systems-engineering teams to integrate perception algorithms into the autonomy stack.
Requirements
- Bachelor's degree or higher 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 experience designing and implementing geometry-based computer-vision and robotics algorithms.
- Proficiency in Rust and C/C++.
- Experience with real-time systems handling high-throughput, multimodal sensor data and fusion across lidar, cameras, IMUs, and GPS.
Nice-to-Haves
- Real-time sensor-fusion implementation, testing, and validation experience.
- Sensor calibration and optimization experience, including Kalman or particle filters, nonlinear optimization, and 3D geometry.
- Sensor selection, system-level tradeoff analysis, and production validation planning.
- Sensor fusion, localization, SLAM, or online calibration experience.
- GStreamer experience for real-time pipeline development.
- Publications in robotics conferences or journals, such as ICRA, IROS, RSS, or CoRL.
- Experience building IP-rated, ruggedized robotic systems and real-world robotic platforms.
- ROS2 or similar robotics middleware experience.
- Background in autonomous vehicles, field robotics, or safety-critical domains.
- Experience with machine-learning-based perception approaches.
Compensation
- Target salary range: $163,000-$212,000 USD.
Skills
Rust, C, C++, Computer Vision, Sensor Fusion, Lidar, Gps, Imu, 3D Geometry, Kalman Filters, Gstreamer, Ros2, Slam, Nonlinear Optimization, Real-Time Systems
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