Senior Software Engineer - Physics-Based Simulation (GPU)
Machina Labs
Software Engineering
Los Angeles, CA, USA
Posted on Jul 4, 2025
About Machina Labs
At Machina Labs, we’re reshaping manufacturing through advanced robotics and machine learning. Our platform uses the largest 6-axis robots on the market to form 2D sheets of metal into complex 3D parts, layer-by-layer.
Traditional sheet metal production was designed for scale, not flexibility. It relies on costly dies and tooling that make lower volume projects prohibitively slow and expensive. We’re changing that. Whether you’re a startup building a few thousand airframes or an automaker prototyping next-generation components, Machina Labs gives you the ability to iterate and manufacture at the speed of software.
With support from the venture arms of Toyota, NVIDIA, and Lockheed Martin, we’re accelerating the future of manufacturing, one where factories are flexible, production is on-demand, and innovation is unconstrained.
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 process
- Build solvers and simulation kernels using CUDA, C++, or similar low-level tools
- Collaborate closely with ML and robotics teams to ensure simulation supports real-world fidelity and integration
- Drive simulation performance optimization, parallelization, and stability tuning
- Contribute to long-term architecture for differentiable simulation and sim-to-real transfer and ultimately provide a robust solution for the real2sim2real challenge
- Write 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 graphics
- Experience 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 method
- Proficient in C++, with strong coding and debugging skills in performance-critical environments
- Extensive 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 field
- Bonus: Experience in robotics, differentiable simulation, or working with ML systems
Why This Role Matters
This is a foundational hire. You will build the core simulation engine that enables our AI to learn, our robots to plan, and our systems to adapt to real-world variability. If you're excited about using cutting-edge simulation and GPU programming to solve real industrial problems—this is the opportunity.
Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law.
We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications.
