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Simulation Scientist Jobs in California (NOW HIRING)

Skild AI

Physics Simulation Scientist

San Mateo, CA · On-site

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 ...

Menlo Ventures

ML & Molecular Simulation Scientist

San Mateo, CA · On-site

$110 - $150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Simulation and machine learning are deeply integrated, and scientists who work here sit at the center of everything we build. You will work side by side with world‑class researchers across ML ...

New

Waabi

Research Scientist, Simulation Agents

San Francisco, CA · On-site +1

$158K - $269K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... our simulation platform. As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary team of research scientists and engineers to invent the next generation of ...

Apple

Image Scientist - Camera Simulation

Cupertino, CA

$150K - $225K/yr

  • Medical

  • Dental

  • Retirement

The Image Sciences team, a part of the Camera Hardware and Depth Team, develops novel metrology, calibration, and simulation processes to enable the implementation and architecture of machine-vision ...

Simpson University

Simulation Technician

Redding, CA · On-site

One to three years' experience with health-related learning technology/simulation preferred • Bachelor of Science preferred • Current and valid certification in basic life support • Be ...

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 ...

Hammerhead AI

Simulation Engineer

Redwood City, CA · On-site

$100 - $130/hr

  • Medical

  • Dental

  • Vision

  • Retirement

MS or PhD in a relevant engineering discipline, Computer Science, Math or Physics. * Problem Solver ... simulation and reality. What We Offer * Competitive salary, bonus, 401(k) plan and equity in a ...

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Physics Simulation Scientist

Skild AI

San Mateo, CA • On-site

Full-time

Re-posted 11 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.

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