Hiring: Robotics Navigation and Control Engineer Company: Slip Robotics Location: Atlanta, GA Job Posted Time: 2026-09-16 10:43:38 Employment Type: Remote Target Skills & Keywords : AWS, C++, CI/CD, Cargo, Python About the job Experience: •5+ years of professional experience developing navigation and control systems for physical robots at a robotics or autonomous vehicle company Required Skills: •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 •Implement obstacle avoidance and safety behaviors that work reliably around people and infrastructure •Own the localization stack, working with perception engineers to integrate sensor-based position estimates into the control loop •Build simulation models and validate them against real robot behavior for faster development iteration •Analyze and improve robot performance using field data, telemetry, and logs from deployed systems •Partner cross-functionally with perception, hardware, and cloud infrastructure teams to deliver integrated autonomy features •Contribute to CI/CD pipelines for controls software testing and deployment to the robot fleet Qualifications: •Strong proficiency in C++ and Python •Comprehensive expertise in motion planning algorithms (A*, D*, RRT variants, lattice planners, or similar) •Hands-on experience designing and tuning controllers for mobile robot platforms •Production experience with ROS or ROS 2 navigation stacks •Demonstrated ability to bridge the sim-to-real gap—tuning algorithms that work on actual hardware, not just in simulation •Comfort analyzing system behavior from logs and telemetry data •Strong communication skills and ability to work effectively in a small team •Master’s degree or higher in Robotics, Controls, Mechanical Engineering, or a related field •Operational familiarity with Gazebo, Isaac Sim, or other robotics simulation environments •Background in logistics, warehousing, or heavy-payload robotics Compensation: •Competitive benefits and rewards package •Competitive salary and equity in an early-stage robotics company Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!