Robotic Motion Planning Engineer Jobs in Washington

Hey! We’re Molg We’re building robotic systems that make electronics manufacturing circular. We 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, our systems turn today’s e-waste into resilient, data-driven supply chains—and change how electronics are made in the first place.

Work with a talented cross-functional team of software, mechanical, electrical, and robotics engineers to develop our core technologies in robotics, assembly intelligence, computer vision, and microfactories. As a Robotics Engineer, you will be responsible for:

• Delivering high-quality, testable code for built/integrated robotic hardware (i.e. microfactories)
• Building core CAD to robotic motion and grasp planning workflow software
• Developing and expanding advance simulation and motion planning capabilities
• Collaborating with mechanical, electrical, and software engineers on tooling, fixturing, vision systems, and control systems

You’ll have the opportunity to build alongside an incredible team, develop innovative solutions, and grow in a fast-paced environment that values autonomy and impact.

• 3+ years of industry experience developing automated solutions using 6 DOF robots
• 3+ years of experience in Python3 or C++
• Proficiency with ROS, ROS2, or another robot-oriented software framework
• Proficiency with the following modern software development tools and principles: unix/linux systems, shell software (sh, bash, zsh), git, containerization, CI/CD, automation, OOP
• Excellent understanding of core robotics principles including homogenous transformations, forward and inverse kinematics, closed-loop control, path and motion planning, localization.
• Demonstrable experience using physical robot systems from industry leading manufacturers, such as ABB, FANUC, or KUKA
• Proven experience taking robotics software from proof-of-concept to production; implementing features vertically through the stack and hardening them for the real world with observability, robust error handling, and graceful failure recovery
• Experience integrating software with robotic hardware, controllers, and higher-level task-planning systems, and validating it on physical robots, not only in simulation
• A track record of diagnosing and improving robot behavior using live-cell data, logs, and telemetry, closing the loop between what the simulation predicted and what the hardware actually did
• Skilled at partnering with mechanical and systems engineers to make software resilient to real-world tolerances, mechanical compliance, and part-to-part variability
• Able to communicate effectively and efficiently both verbally and in writing
• Ability to work in-person at Molg HQ in Sterling, VA.

This role reports directly to the Director of Software Engineering.

We spend our days building robotic systems, developing complex assembly intelligence software, and designing the next generation of circular products for our customers. Given the importance of working hands-on with physical systems, we are a 100% in-person team collaboratively working in our industrial space in Sterling, VA, down the road from the largest data center market in the world. Our facility includes a variety of robots, CNC milling machines, 3D printers, and all the tools needed to build and test our products. It is important to us that anyone on our team that is interested in learning how to use our various pieces of equipment and machinery is taught and can gain the skills and appreciation for making physical things.

• We’re a hands-on collaborative team with big ambitions, and there’s a good amount of context-switching. We expect people to be autonomous and drive their own work to completion.
• We are scrappy and looking to build a great sustainable company for years to come.
• As a growing company and startup, priorities may shift as customer or business requirements change. We strive to empower individuals with context and decision-making power to meet this need.