Company
Machina Labs is a smart manufacturing company backed by major investors in AI and Deep Tech (Innovation Endeavors, Nvidia NVentures, Lockheed Martin Ventures) founded in 2019 and based in Los Angeles, CA. We are on a mission to build the factory of the future through the development of modular manufacturing solutions that allow our customers to rapidly produce and iterate on their designs utilizing our robotic sheet metal forming platform. Using our first-of-its-kind software and robotics solution, we are delivering unseen innovation to industries such as aerospace, automotive, and space exploration.
About the Role
Machina Labs is seeking a Senior Software Engineer to lead the development of high-performance, GPU-based simulations that model the physical processes underlying our robotic metal forming platform. This is a deeply technical, high-impact software engineering role, not a research position.
You’ll be responsible for designing and implementing custom simulation frameworks, from first principles, to accelerate our ML training loops, optimize process control, and build real-time feedback systems. Your work will sit at the heart of the digital twin that powers our next-gen manufacturing system.
Responsibilities
Architect and implement GPU-accelerated physics simulations of our robotic forming processBuild solvers and simulation kernels using CUDA, C++, or similar low-level toolsCollaborate closely with ML and robotics teams to ensure simulation supports real-world fidelity and integrationDrive simulation performance optimization, parallelization, and stability tuningContribute to long-term architecture for differentiable simulation and sim-to-real transfer and ultimately provide a robust solution for the real2sim2real challengeWrite clean, well-tested, and modular code that supports ongoing development by the broader engineering team
What We’re Looking For
Strong software engineering background, ideally in simulation, modeling, or graphicsExperience developing GPU-based solvers or simulation engines (CUDA, Warp / Taichi, etc.)Deep understanding of physics-based modeling (contact, deformation, dynamics) and deep familiarity with numerical solvers, such as the finite element method and the material point methodProficient in C++, with strong coding and debugging skills in performance-critical environmentsExtensive experience with custom simulation stacks or one or more of the following platforms (NVIDIA Omniverse, Warp / Taichi)Masters Degree or Phd in Computer Science, Physics, Applied Math, or related STEM fieldBonus: Experience in robotics, differentiable simulation, or working with ML systems
