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Machina Labs · 3 months ago

Research Engineer - Physics Based Simulations

Los Angeles, CA

Full-time

Hybrid

Senior Level

$160K/yr - $220K/yr

Machina Labs is a smart manufacturing company focused on building innovative modular manufacturing solutions. They are seeking a Research Engineer with expertise in computational science and robotics to develop advanced physics-based simulation algorithms and contribute to the next generation of AI-driven manufacturing systems.

Artificial Intelligence (AI)Industrial EngineeringMachinery ManufacturingMechanical EngineeringRobotics

Responsibilities

Formulate and implement novel physics simulation algorithms tailored to robotic sheet metal forming, grounded in first-principles modeling

Develop and analyze advanced numerical methods for PDEs, contact modeling, deformation, and multi-physics coupling

Build high-performance simulation software leveraging GPU acceleration (CUDA, Warp, Taichi, or similar)

Collaborate with ML, robotics, and manufacturing engineers to ensure physical fidelity and integration with control and learning systems

Explore novel approaches, such as differentiable simulation, reduced-order modeling, and multi-scale methods, for enabling real-time decision-making

Contribute to high-quality, modular codebases that support reproducible research and production deployment

Disseminate results through publications in leading venues, bridging fundamental research and high-impact industrial applications

Qualification

Physics-based simulationsHigh-performance simulation frameworksC++PythonGPU accelerationScientific computingComputer graphicsRobotic simulationsFinite element methodsMaterial point methodsDifferentiable simulationMulti-scale methodsResearch publication

Required

PhD (or Master's with equivalent research experience) in Computer Science, Computational Mechanics, Applied Mathematics, or a related field

Strong research background in scientific computing, computer graphics, and robotic simulations

Demonstrated experience developing high-performance simulation frameworks

Proficiency in C++ and Python, with expertise in parallel computing and GPU acceleration

Knowledge of finite element methods, material point methods, or other physics-based solvers

Proven publication record in top venues such as SIGGRAPH, SIGGRAPH Asia, Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering, ICRA, IROS, RSS, CoRL, or related conferences and journals

Ability to work at the intersection of fundamental research and real-world system development