Senior Robotics Engineer ​/ Onsite ​/ Woburn, MA

Senior Robotics Engineer – Motion Planning

An innovative robotics company is seeking a Senior Robotics Engineer – Motion Planning to join their team in Woburn, MA. This is a full-time opportunity with a company reinventing automotive service through cutting-edge robotics. The company is developing automated tire changing and wheel balancing technology that combines advanced robotics, multi-axis motion systems, perception, and intelligent software to transform a process that has remained largely unchanged for decades.

This is a high-ownership opportunity for a robotics engineer who wants to be a primary technical driver for motion planning and control on a completely unique robotic platform. You'll work directly with custom multi-axis hardware, solving challenging problems involving motion planning, collision avoidance, kinematics, trajectory optimization, and real-world robotic execution. As part of a small, highly capable team, you'll have significant influence over technical direction, direct access to hardware, and the opportunity to take sophisticated robotics technology from prototype through real-world deployment.

If you enjoy hands-on engineering, working close to the robot, and solving problems that don't have an existing playbook, this role offers the opportunity to make a meaningful impact on a category-defining technology.

· Deep expertise in robotic motion planning algorithms, including sampling-based methods such as RRT and RRT*, probabilistic roadmaps (PRM), and trajectory optimization techniques such as CHOMP, STOMP, or Traj Opt

· 2+ years of hands-on experience with ROS 2 and Move It/Move It 2 in production or near-production robotic systems

· Strong understanding of robot kinematics, including forward and inverse kinematics for serial and parallel manipulators

· Hands-on experience with kinematic solvers such as KDL, TRAC-IK, or equivalent

· Strong understanding of collision avoidance, occupancy representations, voxel grids, Octo Map, and safety-aware motion planning

· Experience configuring and adapting URDF/SRDF models, planning scenes, planner interfaces, joint groups, and motion profiles

· Strong proficiency in C++ and/or Python within the ROS 2 ecosystem

· Understanding of real-time performance considerations, memory management, software architecture, and robotics software design patterns

· Proven ability to diagnose complex hardware/software integration issues, from high-level trajectory failures to low-level actuator constraints

· Experience developing production-grade robotic systems capable of reliable, fast motion planning under real-world constraints

· Experience working with dynamic obstacles, tight tolerances, and complex collision environments

· Experience with robotic simulation environments for development, testing, and validation

· Strong software engineering fundamentals, including writing clean, maintainable, well-tested code and documenting technical designs

· BS, MS, or PhD in Robotics, Mechanical Engineering, Computer Science, Electrical Engineering, or a related technical field

· Experience with the Pilz Industrial Motion Planner, OMPL, CHOMP, STOMP, or other industrial motion planning frameworks

· Background in automotive service equipment, industrial automation, manufacturing systems, or complex mechatronic platforms

· Experience with real-time trajectory execution and hardware-in-the-loop testing

· Experience with safety-rated motion control, safety interlocks, or other robotic safety systems

· Full-stack robotics experience spanning motor control, drive systems, hardware abstraction layers (HAL), and low-level firmware interfaces

· Experience integrating perception systems into reactive or perception-driven motion planning

· Familiarity with LiDAR, depth cameras, IMUs, point clouds, PCL, Open3D, SLAM, or object detection

· Experience deploying and debugging robotic systems in the field

· Experience working with multi-manipulator or multi-axis robotic systems operating in confined or highly constrained environments

· Experience optimizing robotic systems for fast, repeatable, production-ready operation