Senior Applied Scientist, Robotics Simulation

What you'll do

• Improve simulation fidelity for contact-rich manipulation and locomotion, and quantify and reduce simulation-to-reality gaps.
• Build scalable, high-performance simulation tools and pipelines for robot dynamics and large-scale learning.
• Validate simulation methods using real-world deployment data and collaborate with engineering, science, and safety teams.

What they ask for

• Programming experience in Java, C++, Python or a related language.
• PhD in Computer Science, Robotics, Mechanical Engineering, or a related field.
• Strong publication record and demonstrated ability to advance the state of the art through novel research.
• Expertise in physics-based simulation and experience designing high-performance systems and bridging simulation with deployed robots.

Nice to have

• Experience with reinforcement learning and policy training in simulation.
• Familiarity with differentiable physics, learned simulation models, or neural physics engines.

Pay

USD 167,100.00 - 226,100.00 annually base salary (USA, MA, N.Reading); USD 167,100.00 - 226,100.00 annually base salary (USA, WA, BELLEVUE)

Tools

Java, C++, Python, MuJoCo, Isaac Lab, Drake, Newton

AI focus

Develop simulation methods and pipelines for reinforcement and policy learning, including applications to robotics; the posting also describes innovative applications of deep learning and large language models.