ZipRecruiter

Log In

1

Simulation Scientist Jobs in California (NOW HIRING)

Skild AI

Simulation Engineer

San Mateo, CA

Position Overview We are seeking talented simulation engineers to create expansive simulated worlds ... Preferred Qualifications * BS, MS or higher degree in Computer Science, Robotics, Engineering or a ...

next page

Showing results 1-20

All JobsSimulation Scientist JobsSimulation Scientist Jobs in California

Simulation Scientist information

What are popular job titles related to Simulation Scientist jobs in California? For Simulation Scientist jobs in California, the most frequently searched job titles are:
What job categories do people searching Simulation Scientist jobs in California look for? The top searched job categories for Simulation Scientist jobs in California are:
What cities in California are hiring for Simulation Scientist jobs? Cities in California with the most Simulation Scientist job openings:
Simulation Scientist jobs near you

Physics Simulation Scientist

Skild AI

San Mateo, CA

Other

Posted 6 days ago

Job description

Position Overview

We are seeking a Physics Simulation Scientist to lead advancements in the simulation and physics-solving backbone behind Skild's robot foundation model training. You will collaborate with external experts in GPU-accelerated physics engines and work with our internal robotics and learning teams to build a next-generation, open-source simulation stack for robotics sim-to-real.

You'll partner closely with engineers scaling simulation scene generation and with ML researchers pushing the limits of sim-to-real transfer. The ideal candidate brings deep physics-simulation expertise plus hands-on experience implementing and optimizing algorithms on modern GPUs.

Responsibilities
  • Improve and develop new physics solvers and modeling methods for high-DoF, contact-rich robotics tasks.
  • Design and implement GPU-accelerated solvers with a focus on throughput, stability, and scalability.
  • Profile and optimize simulation performance on modern GPU hardware and distributed clusters.
  • Work with external collaborators and the open-source community to advance simulation for robotics.
  • Collaborate with scene-generation engineers to scale robotic experience across diverse real-world environments.
  • Partner with ML researchers to improve sim-to-real transfer through better physical modeling, calibration, and training regimes.
  • Contribute to the long-term technical direction of Skild's physical modeling and sim-to-real strategy.
Preferred Qualifications
  • MS or PhD in Physics, Robotics, Computer Science, Applied Math, Engineering, or a related field, or equivalent hands-on experience.
  • Strong track record working on physics engines or high-fidelity simulators for articulated rigid bodies; experience with deformables, fluids, or differentiable simulation is a plus.
  • Deep understanding of dynamics, contact modeling, constraint-based methods, and integrators, including accuracy-speed tradeoffs.
  • Expertise in CUDA and GPU programming with proven ability to optimize for scale.
  • Proficiency in C++ and Python, and experience building reliable systems used by other technical teams.
  • Familiarity with how modern ML/RL pipelines consume simulation (vectorized environments, domain randomization, large-scale rollouts).
  • Experience with real robot platforms and strong intuition for where simulation diverges from reality.
  • Publications, open-source contributions, or shipped systems in simulation, robotics, graphics, or numerical computing are a strong plus.

Apply