Physics Simulation Scientist

Skild AI
San Mateo
Workplace: OnsiteFull timeUSD 100,000 - 300,000 annuallyFunction: Research & Scientific (R&D)Education: mastersSkills: ["Problem-solving","Communication","Teamwork"]

Lead the development of physics simulation for robotics foundation model training, building GPU-accelerated solvers and high-fidelity simulators. Collaborate with external experts in GPU-accelerated physics engines and with internal robotics and ML teams to create an open-source simulation stack for robotics sim-to-real, optimizing performance on GPUs and distributed clusters and guiding long-term physical modeling strategy.

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FursaFursa
Skild AI
Skild AI
7 months ago

Physics Simulation Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Lead the development of physics simulation for robotics foundation model training, building GPU-accelerated solvers and high-fidelity simulators. Collaborate with external experts in GPU-accelerated physics engines and with internal robotics and ML teams to create an open-source simulation stack for robotics sim-to-real, optimizing performance on GPUs and distributed clusters and guiding long-term physical modeling strategy.
Location: San Mateo
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key 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.

Pay and Benefits

Salary: USD 100,000 - 300,000 annually

Key Requirements

  • •MS or PhD in Physics, Robotics, Computer Science, Applied Math, Engineering, or a related field, or equivalent hands-on experience.
Experience:RoboticsSimulationGPUCUDAMachine learning
Education:Master's
Skills:Problem-solvingCommunicationTeamwork
Languages:English
Tech Stack:CUDAGPUC++PythonVectorized environmentsDomain randomization

Company Brief

Skild AI
Develops AI-driven solutions focused on applying machine learning to automate and enhance business workflows, delivering predictive insights and intelligent automation for enterprise use cases.
Industry: AI & Machine Learning
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