Job Title
Motion Planning Robotics Engineer
Motion planning robotics jobs focus on building search-recognizable autonomy workflows for Rex.zone: trajectory generation, collision avoidance, behavior planning, and real-time control for automotive robotics (ADAS and autonomous driving). In this full-time remote role at Rexzone (US), you will develop and evaluate planning algorithms that connect perception outputs to safe, comfortable vehicle motion under constraints. You will work with simulation and scenario-based testing to improve model performance, planning safety, and on-road robustness. This posting supports informational intent (what motion planning is), navigational intent (Rex.zone), and transactional intent (apply for remote full-time robotics engineering work).

Motion Planning Robotics Engineer
Title: Motion Planning Robotics Engineer Date: 25-02-2026 Company: Rexzone Country: US Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: Motion Planning, Trajectory Optimization, Model Predictive Control, Collision Avoidance, Behavior Planning, Path Planning, Sampling-Based Planning, A Star, RRT, ROS, C Plus Plus, Python, Real-Time Systems, Autonomous Driving Simulation, Scenario-Based Testing Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR
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.
Design and implement motion planning and trajectory generation modules for automotive robotics; develop behavior planning and constraint-based planning policies; integrate planning with perception and localization outputs; build scenario-based testing in simulation to validate safety and comfort; tune cost functions and constraints for real-time feasibility; 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 planning QA and safety reviews.
Typical workflows include path planning, trajectory optimization, model predictive control, and collision checking across structured roads and dynamic agents. You will apply n-gram relevant concepts such as planning under uncertainty, kinematic constraints, safety envelopes, time-to-collision, drivable area constraints, map-based routing, and closed-loop simulation to drive model performance improvement and training data quality for scenario libraries.
Mid-senior experience shipping robotics or autonomy features; strong programming in C++ and Python; hands-on experience with planning algorithms (A*, RRT/RRT*, lattice planning, spline optimization, MPC); understanding of vehicle dynamics, constraints, and safety considerations; experience with ROS or comparable robotics middleware; ability to design evaluation metrics, run ablation studies, and communicate tradeoffs clearly in engineering reviews.
Experience in autonomous driving stacks (ADAS or AV); familiarity with simulation tooling and scenario generation; experience with real-time systems profiling and optimization; knowledge of formal methods or safety validation; experience integrating planning with prediction modules and multi-agent interaction.
C++/Python planning services, ROS/ROS2 (or equivalent), simulation and replay tooling, CI pipelines for regression tests, metrics dashboards for scenario outcomes, and log-based debugging with visualization for trajectories, costs, and constraint violations.
This is a Remote full-time role in the US. You will collaborate asynchronously with distributed teams, participate in design reviews, and deliver planning features with measurable improvements in safety, comfort, and scenario pass rates.
Apply via Rex.zone with a resume highlighting motion planning ownership, trajectory optimization work, and scenario-based evaluation results. Include links to relevant publications, open-source contributions, or technical portfolios when available.
These roles build algorithms that generate safe, feasible trajectories for vehicles in real time. The work typically spans behavior planning, path planning, trajectory optimization, collision checking, and integrating planning with perception, localization, and controls in ADAS/AV systems.
Yes. The position is Remote and FULL_TIME, based in the US.
Skills aligned to motion planning robotics include motion planning, trajectory optimization, model predictive control, collision avoidance, behavior planning, path planning, sampling-based planning (RRT), graph search (A*), ROS, C++, Python, real-time systems, and autonomous driving simulation with scenario-based testing.
Expect questions on planning algorithms (A*, RRT, lattice, splines), constraint handling, cost function design, collision checking, vehicle kinematics/dynamics, real-time feasibility, and how you evaluate planning quality using scenario metrics and closed-loop simulation.
Employers commonly include technology companies, automotive robotics programs, AI labs, and tech startups building autonomy stacks, simulation platforms, and safety evaluation systems.
Rex.zone may list remote contract, freelance, entry-level, and senior roles depending on current openings. This specific posting is for a full-time mid-senior role, but you can browse Rex.zone for other modifiers and levels.

We believe exceptional intelligence deserves exceptional pay. Our platform consistently offers rates above the industry average, rewarding experts for their true value and real impact on frontier AI. Here, your expertise isn't just appreciated - it's properly compensated.

No office. No commute. No constraints. Our fully remote workflow gives experts complete flexibility to work at their own pace, from any country, any time zone. You focus on meaningful tasks - we handle the rest.

AI trainers are the heart of our company. We treat every expert with trust, humanity, and genuine appreciation. From personalized support to transparent communication, we build long-term relationships rooted in respect and care.
Ready to Shape the Future of Robotics Engineering?
Apply Now.