Staff Engineer, Robotics Perception

• Design and implement perception algorithms for object detection, terrain classification, obstacle detection, and scene understanding in off-road environments
• Fuse and process sensor data from LiDAR, cameras, radar, IMU, and GNSS for robust environmental interpretation and free-space understanding
• Develop ML and deep learning-based models to improve perception performance in dynamic outdoor conditions
• Optimize real-time perception pipelines for embedded systems under strict size, weight, and power constraints
• Test and validate perception systems in simulation and real-world environments, including harsh conditions such as mud, dust, and rain
• Integrate perception outputs into navigation and path planning systems for safe autonomous traversal
• Support system-level calibration, synchronization, and sensor alignment in collaboration with hardware and systems teams
• Continuously improve robustness and reliability through field testing and data-driven iteration
• Work across teams to ensure perception systems are deployable, scalable, and production-ready

What You Bring

• Advanced degree (MSc or higher) in Robotics, Computer Vision, Machine Learning, or a related engineering field
• Strong proficiency in Python and C++ for robotics and ML system development
• Solid understanding of perception fundamentals including object detection, segmentation, terrain understanding, and obstacle detection in unstructured environments
• Experience developing and deploying machine learning-based perception systems in real-world robotics applications
• Hands-on experience with frameworks such as PyTorch and TensorRT
• Proficiency with OpenCV, PCL, or Open3D for perception and 3D data processing
• Experience working with ROS2, simulation environments, and robotics validation workflows
• Strong Linux development skills with experience in CI/CD and modern software engineering practices
• A structured, self-driven, and proactive approach to solving complex perception challenges
• Experience with Rust or CUDA and edge computing platforms are a plus