Skild AI · 9 hours ago
Physics Simulation Scientist
San Mateo, CA
Full-time
Onsite
Mid, Senior Level
$100K/yr - $300K/yrSkild AI is building the world's first general purpose robotic intelligence that adapts to unseen scenarios. They are seeking a Physics Simulation Scientist to lead advancements in simulation and physics-solving for their robot foundation model training, collaborating with experts and internal teams to build an open-source simulation stack.
Computer Software
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
Qualification
Required
Deep physics-simulation expertise plus hands-on experience implementing and optimizing algorithms on modern GPUs
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
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
Company
Skild AI
Building general purpose robotic intelligence.
Founded in 2023
11-50 employees
H1B Sponsorship
Skild AI has a track record of offering H1B sponsorships. Please note that this does not
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2025 (14)
2024 (2)
Funding
Current Stage
Early StageRecent News
2025-10-03
2025-09-27
2025-09-26
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