Senior Robotics Software Engineer, Autonomous Navigation

The challenge

A new customer site goes live and the floor breaks a mapping assumption nobody wrote down. Localization confidence drops on a dozen robots overnight and the fleet telemetry says it is getting worse. The fix is not a demo. It is a change to the SLAM software that has to hold across 100+ robots per site and a 500+ robot fleet without regressing the sites that already work.

Role overview

Navigation software ownership on a production AMR fleet: SLAM, localization, and motion planning running in live customer aisles, not in a lab. The work is extending the capabilities of the SLAM software, improving localization performance where real floors break mapping assumptions, and deploying motion planning algorithms in real-world applications, held to fleet-scale regression metrics. C++ and Python on ROS2, simulation in Gazebo, and telemetry from the deployed base telling you whether the change actually helped.

Specializations

Technical requirements

• BS or MS in Computer Science, Robotics, or a related engineering field
• 6+ years in robotics software, with navigation subsystem ownership on deployed robots
• Strong C++ and Python on ROS2
• Depth in SLAM, localization, and mapping, including sensor fusion, odometry, and the navigation stack
• Working knowledge of motion planning and graph search methods: A*, RRT, PRM
• Experience shipping and supporting navigation features on a production fleet, with telemetry-driven debugging

Preferred qualifications

• Experience with multi-agent pathfinding and task allocation at fleet scale
• Exposure to controller design: PID, Pure Pursuit, LQR, or model-predictive control
• Experience with visual SLAM or object tracking
• CUDA experience for accelerating real-time planning workloads

Key responsibilities

• Extend the capabilities of the SLAM software: mapping, multi-robot mapping, and life-long mapping across customer sites
• Improve localization performance where odometry, LiDAR, and costmap assumptions degrade on real floors
• Design and optimize navigation and mobility controls algorithms: motion planning, path planning, and trajectory optimization
• Develop autonomous recovery behaviors and collision avoidance for live-aisle operation
• Create simulation and modeling tools in Gazebo, and build the regression suites that gate navigation releases against fleet metrics
• Support production deployments, shipping navigation features across customer sites at fleet scale

Compensation & Benefits

• Base salary: $165,000 - $178,000
• Stock options (Series C company)
• Annual bonus target 10%
• Hybrid schedule
• Continuing education budget ($4,000/year)