Senior/Staff Autonomy Software Generalist

Job description

Job responsibilities

• Design, implement, tune, and improve path and motion planning algorithms for safe, smooth, and continuous robot motion in large-scale, dynamic environments.
• Develop perception algorithms using both deep learning and classical geometric computer vision.
• Implement, tune, and maintain localization and mapping (SLAM) algorithms, applying state-of-the-art ML approaches where they add value.
• Perform sensor selection and evaluation across lidar, cameras, and ToF sensors, balancing performance against cost and other constraints.
• Develop and maintain calibration algorithms for the above sensors.
• Help shape the autonomy roadmap by identifying technical gaps and risks, proposing prioritized initiatives, and translating them into milestones
• Build tooling and metrics to test, evaluate, and continuously improve fleet performance, including regression detection and proactive service triggers.
• Own high-quality software engineering practices: version control (GitHub), code review, CI/CD, and maintaining build and deployment pipelines.

Job requirements

• Master’s degree in Robotics, Computer Science, or a related field (or equivalent experience).
• 4 or more years developing production robotics or autonomy software.
• Strong proficiency in ROS, C++ and Python in a Linux environment.
• Hands-on experience implementing and tuning algorithms in two or more of: perception, path/motion planning, localization/mapping, sensor calibration.
• Experience with deploying deep learning models
• Solid software engineering fundamentals: Git, code review, CI/CD, and build pipeline maintenance.
• Practical experience working with real sensor data from lidar, cameras, and/or ToF sensors.
• Demonstrated ability to work cross-functionally and ship to real hardware.