Applied Scientist II, Simulation

What you'll do

• Improve simulation fidelity and build scalable, high-performance simulation tools and pipelines for robotics.
• Develop methods to measure and reduce simulation-to-reality gaps, using real-world hardware to improve simulation.
• Collaborate with engineering, science, and safety teams to define simulation requirements and validate solutions.

What they ask for

• Currently has, or is in the process of obtaining, a PhD in computer science, computer engineering, or related field.
• 2+ years of science, technology, engineering or related field experience.
• Deep expertise in physics-based simulation, including rigid and deformable dynamics, contact mechanics, computational geometry, and numerical methods.
• Experience optimizing simulation systems for high-performance and large-scale computing; strong C++ and Python skills; working knowledge of modern physics engines.

Nice to have

• Experience with reinforcement learning, differentiable physics, or learned simulation models.
• Robotics simulation experience, including contact-rich manipulation or legged locomotion, GPU computing, or deploying simulation-trained policies on real robots.

Pay

USD 171,600.00 - 222,200.00 annually (base salary); USD 142,800.00 - 193,200.00 annually (base salary)

Tools

C++, Python, MuJoCo, Isaac Lab, Drake, Newton, URDF, SDF

AI focus

Applies machine learning and reinforcement learning approaches to robotics simulation and sim-to-real transfer; develops simulation methods for training and validating robotic systems.