Simulation Engineer

About the Role

We're hiring a Simulation Engineer at a well-funded world models and embodied AI startup in San Francisco. The team builds high-fidelity simulations and 3D digital assets that generate synthetic training data for advanced robotics labs. This role is open to fresh MS/PhD grads and experienced simulation engineers.

Key Responsibilities

• Build high-fidelity robotics simulations and 3D digital assets at scale in Blender and Python.
• Generate synthetic training data to solve robotics' biggest bottleneck: the lack of physical-world data.
• Develop simulation infrastructure and pipelines to create, run, and evaluate environments.
• Model robot dynamics, physics, and interactions for humanoids, manipulators, and robotic arms.
• Work alongside a small team of mostly PhD researchers.

Requirements & Tech Stack

• Strong hands-on Blender and Python (top priority).
• Experience building high-fidelity simulation systems or infrastructure, in a PhD/MS program or in industry.
• Simulation work at a robotics, world-model, or big tech company.
• An MS/PhD from a top university in CS, mechanical engineering, or robotics.
• A robotics or AI simulation background (this role is not a fit for autonomous vehicle, drone, aerospace, or defense simulation).

Bonus Skills

• Isaac Sim
• MuJoCo
• PyBullet
• Gazebo
• Drake
• Omniverse
• ROS2
• C++
• Experience with humanoids, manipulators, or robot arms.

Details

• Base salary: $150K to $300K plus equity.
• On-site: 5 days a week in San Francisco (Financial District).
• Requirement: Must live in the Bay Area or be willing to relocate.
• Visa: No new visa sponsorship (visa transfers are OK).