Motion Planning Robotics Engineer

Rex.zone connects specialized engineering talent with remote roles across autonomy, robotics, and AI/ML production systems. Teams hiring through Rex.zone span tech startups, automotive robotics programs, and engineering organizations building planning stacks, simulation tooling, and safety-focused evaluation.

About the role

In this Remote, US-based full-time role, you will build algorithms that generate safe, feasible vehicle trajectories in real time for ADAS/AV systems. The work spans behavior planning, path planning, trajectory optimization, collision checking, and tight integration with perception, localization, and controls, validated through closed-loop simulation and scenario-based testing.

Responsibilities

• Design and implement motion planning and trajectory generation modules for automotive robotics
• Develop behavior planning and constraint-based planning policies for dynamic road scenes
• Integrate planning with perception and localization outputs and coordinate interfaces with controls
• Build and run scenario-based testing in simulation to validate safety, comfort, and robustness
• Tune cost functions and constraints for real-time feasibility and performance
• Conduct root-cause analysis for planning failures using logs, metrics, and visualization
• Collaborate with systems, controls, and infrastructure engineers to improve runtime performance
• Document planning assumptions, interfaces, and evaluation results to support QA and safety reviews

Requirements

• Mid-senior experience shipping robotics or autonomy features
• Strong programming skills in C++ and Python
• Hands-on experience with A*, RRT/RRT*, lattice planning, spline optimization, and/or MPC
• Understanding of vehicle kinematics/dynamics, constraints, and safety considerations
• Experience with ROS/ROS2 (or comparable robotics middleware)
• Ability to design evaluation metrics, run ablation studies, and communicate tradeoffs in reviews

Preferred Qualifications

• Experience in ADAS or autonomous driving stacks
• Familiarity with simulation tooling, replay, and scenario generation
• Experience profiling and optimizing real-time systems
• Knowledge of safety validation approaches and multi-agent interaction

Pay

Competitive hourly base pay: $30–$50 per hour (USD).