Robotics Engineer (Path Planning)

MolgSterling, VA
Onsite

About The Position

Molg is building robotic systems that make electronics manufacturing circular. They work with hyperscalers and leading electronics manufacturers to automate how hardware is designed, manufactured, disassembled, repaired, reused, and recovered. Using robotics, computational design, and AI, their systems turn today’s e-waste into resilient, data-driven supply chains and change how electronics are made. In this role, you will join a cross-functional team of robotics, software, and mechanical engineers to build the motion planning core that powers Molg’s robotic microfactories. You will design and implement motion and path planning algorithms for arm-based industrial robots operating in dense, multi-arm robotic cells. You will develop robust collision detection and avoidance systems, build and maintain multi-arm coordination strategies, and integrate motion planning systems with real robotic hardware, controllers, and higher-level task planning software. You will tune planners for real-world execution, balancing optimality, speed, determinism, and safety under production constraints. You will work closely with mechanical and systems engineers to ensure motion plans are feasible and debug and improve robot behavior using data from live cells, logs, and telemetry. You will also contribute to architectural decisions around planning frameworks, kinematics representations, and system performance. This role offers the opportunity to build alongside an incredible team, develop innovative solutions, and grow in a fast-paced environment that values autonomy and impact.

Requirements

  • Strong experience with motion and path planning for arm-based robots (industrial or collaborative).
  • Solid understanding of collision detection, geometric reasoning, and kinematics in constrained environments.
  • Experience coordinating multiple robotic arms operating in shared or overlapping workspaces.
  • Proficiency in C++ and/or Python for robotics and performance-critical systems.
  • Comfort working with robotics middleware and frameworks (e.g., ROS2, custom planners).
  • Ability to work in-person at Molg HQ in Sterling, VA.

Responsibilities

  • Design and implement motion and path planning algorithms for arm-based industrial robots operating in dense, multi-arm robotic cells.
  • Develop robust collision detection and avoidance systems that account for robot geometry, tooling, fixtures, and dynamic obstacles.
  • Build and maintain multi-arm coordination strategies, including synchronization, shared workspace reasoning, and deadlock avoidance.
  • Integrate motion planning systems with real robotic hardware, controllers, and higher-level task planning software.
  • Tune planners for real-world execution, balancing optimality, speed, determinism, and safety under production constraints.
  • Work closely with mechanical and systems engineers to ensure motion plans are feasible given real tolerances, compliance, and variability.
  • Debug and improve robot behavior using data from live cells, logs, and telemetry—not just simulation results.
  • Contribute to architectural decisions around planning frameworks, kinematics representations, and system performance.
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