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Contoro

Robotics Engineer, Motion Planning

Austin, TXfulltimemidAdded 1 month ago

About this role

Contoro Robotics seeks a Motion Planning Robotics Engineer to develop path generation and trajectory optimization algorithms for an autonomous warehouse robot that unloads boxes from trailers. You'll design collision-aware motion planning solutions and time-optimal trajectories while collaborating with autonomy, perception, and controls teams to maximize throughput in constrained container environments.

What you'll do

  • Design geometric path planning for high-DOF manipulators navigating cluttered container spaces using sampling-based and optimization-based planners
  • Develop time-optimal, jerk-limited trajectories that minimize cycle time while respecting velocity, acceleration, and torque constraints
  • Integrate perception outputs and collision reasoning into the planning scene to avoid container walls, ceilings, and neighboring boxes
  • Validate motion planning algorithms on real hardware and measure cycle-time improvements
  • Collaborate with autonomy, orchestration, perception, and controls teams to deliver reliable end-to-end motion
  • Handle edge cases including near-singularities, joint limits, and payload stability to prevent dropped boxes

What they're looking for

  • C++ (modern standards) and Python programming
  • ROS 1/ROS 2 development
  • MoveIt motion planning framework
  • Sampling-based planners (RRT, RRT-Connect, PRM) and optimization-based planners (CHOMP, TrajOpt)
  • Time-optimal trajectory generation and time parameterization (TOTG, TOPP-RA, Ruckig)
  • Manipulator kinematics, dynamics, and constraint handling
  • Perception integration (point clouds, object poses, occupancy maps)
  • Problem-solving and cross-functional communication
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Contoro

Contoro builds autonomous warehouse automation robots that unload boxes from trailers and containers using computer vision, motion planning, and robotic manipulation. The company is hiring robotics engineers, software engineers, data engineers, and ML specialists to develop perception systems, autonomous control software, analytics infrastructure, and motion planning algorithms for production robot fleets.

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Likely interview questions

  • Walk us through a motion planning project where you deployed path planning (e.g., RRT, PRM) on real hardware. What were the biggest challenges in going from simulation to production?
  • Describe your experience with time-optimal trajectory generation. How have you handled jerk limits and payload constraints to minimize cycle time while maintaining safety?
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