Senior Robotics Research Engineer
About The Position
At Boston Dynamics, we are developing the next generation of intelligent robots capable of operating in complex, human-centric environments. A critical component of this effort is creating robust, dynamic, and intelligent behaviors through advanced machine learning. We are seeking a talented Robotics Engineer to join our Atlas Controls team and help pioneer new methods in reinforcement learning for complex robotic systems. As a Senior Robotics Research Engineer, you will be a key contributor to solving one of the most challenging problems in robotics: teaching a humanoid robot to perform complex locomotion and manipulation tasks. Your work will focus on implementing, testing, and refining reinforcement learning policies to create sophisticated and robust behaviors. This is a unique opportunity to help translate cutting-edge research into real-world capabilities on one of the world's most advanced robots.
Requirements
- Master's degree in Robotics, CS, or a related field; OR a Bachelor's degree with 2+ years of hands-on professional experience in a related area.
- Hands-on experience developing and implementing learning algorithms for control tasks (can include significant academic, internship, or professional projects).
- Experience with physics simulation engines (e.g., MuJoCo, Isaac Sim)
- Proficiency in Python and familiarity with C++.
- A solid understanding of robotics fundamentals, including kinematics, dynamics, and coordinate frames.
Nice To Haves
- Demonstrated experience with projects involving physical robotic systems.
- Experience integrating perceptual data (e.g., vision, depth) into a control policy.
- A passion for building robust and reliable software for real-world robotic systems.
- Publication record in top-tier robotics, machine learning, or computer vision conferences (e.g., CoRL, RSS, ICRA, CVPR, NeurIPS).
Responsibilities
- Implement, train, and test reinforcement learning algorithms to create robust and dynamic locomotion and manipulation behaviors.
- Leverage high-fidelity simulation environments to develop, validate, and debug control policies.
- Assist in analyzing the performance of policies on the physical robot and work on sim-to-real challenges.
- Collaborate with controls, perception, and software teams to integrate your work into the broader robot software stack.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Industry
Machinery Manufacturing
Number of Employees
251-500 employees
