What are the responsibilities and job description for the Teleoperations Research Scientist, Atlas position at Boston Dynamics?
The Atlas team at Boston Dynamics is pushing the limits of robotic mobility and manipulation. As a Teleoperation Research Scientist, you will design and implement cutting-edge teleoperation and human-robot interaction systems that enable humanoid robots to execute complex, coordinated tasks in real-world environments. You will work closely with cross-functional teams in controls, perception, machine learning, and hardware to build intuitive and scalable teleoperation interfaces that bridge the gap between human demonstration and autonomous robot behavior, facilitate large-scale data collection for foundation models, and advance research in dexterous manipulation, whole-body mobile teleoperation, and human-robot interfaces. This role combines deep technical research with hands-on experimentation on one of the most advanced humanoid platforms in the world.
How You Will Make An Impact
How You Will Make An Impact
- Implement and evaluate novel teleoperation interfaces (e.g., VR, motion capture, wearable devices, or mixed reality systems) to collect high-quality manipulation and locomotion demonstrations for learning-based control.
- Integrate and optimize hardware and software components for low-latency, high-bandwidth communication and control.
- Analyze demonstration data to improve data efficiency, operator ergonomics, and task performance.
- Write high-quality (documented, tested, maintainable) C and Python code.
- Support integration of teleoperation and learned policies into end-to-end proof-of-concept demonstrations.
- 4 years of industry experience or PhD in Robotics, Computer Science, Human-Computer Interaction, or a related field.
- Experience with real-time control, sensing, and communication systems in robotics.
- Proficiency in Python and/or C
- Strong analytical and debugging skills.
- Strong communication and collaboration skills
- PhD in Robotics, Computer Science, Human-Computer Interaction, or a related field.
- Prior experience with VR/AR-based teleoperation systems, haptics, and force-feedback systems.
- Experience with robot hardware and real-world robot deployments
- Experience with user studies and quantitative evaluation of human-robot systems.
- Familiarity with large-scale data collection for learning-based control or foundation model training.