Backed by Khosla.
About the role
You own Quadrants end to end: the API, the IR and lowering, the optimization passes, the numerical primitives, and the roadmap.
More about this role
Quadrants is an open-source translation layer that turns ordinary Python into optimized machine code at runtime, across CPU (Arm64, x86) and GPU (AMDGPU, CUDA, Metal, Vulkan) backends. CUDA is the primary target, with x86 the strong runner-up, especially for real-time simulation. The others drive adoption and support fast prototyping for research.
The ambition is explicit: build the best “Python compiler” in the world for physics and performance-critical numerical computing. We are fully committed to it, and we intend to beat leading alternatives like Nvidia Warp, Numba, or Triton.
It’s a standalone project with its own roadmap, built in the open. Genesis, our physics simulator, is its first and top-priority user, the source of its hardest workloads and its benchmarks. But Quadrants is general-purpose infrastructure for anyone writing performance-critical numerical Python, not an internal tool that happens to be public.
The bet: high-performance code should feel natural to write. Engineers write plain Python in a NumPy or PyTorch style, and Quadrants makes it fast.
You own Quadrants end to end: the API, the IR and lowering, the optimization passes, the numerical primitives, and...
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