C

Navigation and Control Engineer for Autonomous Mobile Robots

United States
Relocation
This Job is No Longer Active This position is no longer accepting applications

Design, implement, and optimize navigation and control systems for autonomous mobile robots. Develop and tune motion controllers for heavy-payload platforms. Collaborate with perception, hardware, and cloud infrastructure teams.

Key Highlights
Design, implement, and optimize navigation and control systems for autonomous mobile robots
Develop and tune motion controllers for heavy-payload platforms
Collaborate with perception, hardware, and cloud infrastructure teams
Key Responsibilities
Design, implement, and optimize path planning and trajectory generation for autonomous mobile robots operating in constrained logistics environments
Develop and tune motion controllers (PID, MPC, or similar) for heavy-payload platforms with real-world dynamics
Own the localisation stack, integrating sensor-based position estimates into the control loop alongside the perception team
Implement obstacle avoidance and safety behaviours that work reliably around people and active infrastructure
Build and validate simulation models against real robot behaviour - currently using Gazebo
Analyse and improve robot performance using field telemetry and logs from the deployed fleet - the team uses FoxGlove, MQTT, and CloudWatch pipelines
Contribute to CI/CD pipelines for controls software testing and deployment across the fleet
Collaborate with perception, hardware, and cloud infrastructure teams on integrated autonomy features
Technical Skills Required
C++ Python ROS or ROS2 navigation stacks Motion planning algorithms (A*, D*, RRT variants, lattice planners, or similar) Localisation techniques (EKF, particle filters, scan matching, visual odometry) PID, MPC, or similar motion controllers
Benefits & Perks
Competitive salary depending on experience
Equity in an early-stage company with strong commercial traction
Full relocation package to Atlanta
Nice to Have
Background from AMR, logistics, or warehouse robotics companies
Experience with Docker, CUDA, and CI/CD infrastructure
Familiarity with AWS IoT, Greengrass, or edge computing for fleet-scale robot management
MPC or adaptive control experience

Job Description

The Opportunity

300 autonomous robots. Live production environments. Real freight, real trailers, real loading docks, every day.

This isn't a research project and it isn't a pilot. This is a small, high-impact robotics team that has achieved something most companies spend years trying to reach: product-market validation at scale, with robots operating in demanding real-world conditions alongside people and heavy cargo.

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