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:
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.
What we are looking for:
3+ 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
Nice to have:
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.
The salary or hourly pay range for this position will be clearly stated in the job posting as required by Massachusetts law. The base pay range for this position is between $150,284.34- $200,000.85. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting. Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and an annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.
Skills Required
- 3+ years of industry experience or PhD in Robotics, Computer Science, Human-Computer Interaction, or related field
- Experience with real-time control, sensing, and communication systems in robotics
- Proficiency in Python and/or C++
- Experience writing high-quality (documented, tested, maintainable) C++ and Python code
- Strong analytical and debugging skills
- Strong communication and collaboration skills
- 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
What We Do
Boston Dynamics builds advanced mobile manipulation robots with remarkable mobility, dexterity perception and agility. We use sensor-based controls and computation to unlock the potential of complex mechanisms. Our world-class development teams develop prototypes for wild new concepts, do build-test-build engineering and field testing and transform successful designs into robot products. Our goal is to change your idea of what robots can do.
