Senior Software Engineer, Navigation

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

Join the Autonomy team as a Senior Software Engineer focused on Navigation. You will be a core contributor, driving the design and deployment of real-time motion planning and navigation systems that empower our humanoid robots to operate robustly and autonomously in complex logistics and manufacturing environments. This is a high-impact role essential to scaling our commercial deployments, improving the efficiency of autonomous loco‑manipulation behaviors, and achieving software readiness for the next generation robot platforms.

• Design, implement, and deploy 3D motion planning algorithms for locomotion, with an emphasis on whole‑body collision‑aware motion execution in real‑time.
• Own the core components of our navigation stack, specifically the local planning maps, terrain models, and grid map representations used for path and motion planning with collision avoidance.
• Advance our locomotion capabilities by developing and maintaining a 3D footstep path planner aiming to significantly reduce navigation cycle times.
• Define and implement the necessary navigation features and route planning algorithms to enable coordinated movement and resource sharing within multi‑agent robot fleets.
• Drive the maturity of our release processes by designing, implementing, and maintaining robust regression testing pipelines for motion planning and navigation modules.
• Collaborate with the AI and Controls teams to integrate locomotion behaviors with RL policies and support whole‑body control.
• Integrate and debug planning algorithms on real‑world hardware, owning the transition from simulation environments (e.g., Gazebo, Mu Jo Co , Isaac Sim) to physical robots.

• 5+ years of professional experience in robotics, specifically developing and deploying real‑time navigation and motion planning systems for autonomous mobile platforms (humanoids, quadrupeds, autonomous vehicles).
• Expertise in 3D/volumetric map representations (e.g., octomaps, voxel grids) for local path planning and collision avoidance.
• Deep technical understanding of locomotion‑specific path and motion planning algorithms, including sampling‑based planners (RRT/PRM), optimization‑based methods (MPC/LQR), and hybrid A*.
• Expert proficiency in modern C++ (C++17/20), with a proven track record of writing high‑performance, multithreaded code for robotics applications.
• Experience with common robotics frameworks (e.g., ROS/ROS2, DDS) and hands‑on experience with modern optimization libraries relevant to motion planning (e.g., Ceres, IPOPT, OSQP).
• Proven ability to systematically test and debug systems on physical robots, and integrate perceived environment data (LiDAR, camera, depth sensing) into the planner.

• Experience training and deploying Reinforcement Learning (RL) agents for complex locomotion behaviors.
• Hands‑on experience implementing Model Predictive Control (MPC) or similar optimization‑based control techniques for dynamic robot locomotion.
• Familiarity with perception pipelines and the integration of perceived environment data into the planning stack.
• Experience with GPU‑accelerated spatial data structures (e.g., NVBlox, specialized CUDA implementations) for high‑throughput, low‑latency map updates and querying.
• Strong foundational knowledge of robot kinematics, dynamics, controls, and state estimation (e.g., EKF, particle filters).
• Experience with multi‑robot coordination/route planning and abiding by boundary constraints in a workcell map.
• Experience with multi‑robot mapping and localization, including map persistence and sharing capabilities.
• Publications in top‑tier robotics conferences (ICRA, RSS, IROS, CoRL).

This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.

Anticipated Salary Range

$155,000—$24…