Quadrants: Compiler Lead

Descripción del puesto

What Quadrants is 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. The role You own Quadrants end to end: the API, the IR and lowering, the optimization passes, the numerical primitives, and the roadmap. Our ultimate objective: engineers write for readability and maintainability, never for performance. They write the version of an algorithm they are most comfortable with, and Quadrants rebuilds it into kernels that run as if an expert had hand-tuned them. Performance is the compiler’s job, not theirs. Getting there is a frontier problem, part research and part engineering, and we intend to define the state of the art on it, relentlessly pushing the limit further. It calls for two things at once: the low-level GPU and compiler skill to make a single kernel optimal, and the ability to keep the whole system coherent as it grows. The core tradeoff is settled: usability comes first. When usability and performance collide, usability wins, unless the cost is s