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Quadrants: Compiler Lead

Genesis· Engineering & Research
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Hybrid (Paris)Full-timePosted 2mo ago

About the role

Lead role owning Quadrants end to end — API, IR and lowering, optimization passes, numerical primitives, and roadmap, with focus on building the best open-source Python compiler for physics simulation and performance-critical numerical computing.

Responsibilities

  • API & authoring experience. The surface that physics and numerical-computing engineers write against, and, as an open-source library, the product’s face to the world. Idiomatic, natural to Python users, never a separate language bolted onto Python. Clean decorators, legible constraints, sharp errors, real escape hatches.
  • IR, lowering & backends. A stable IR that lowers to multiple backends, with room to grow and the door kept open for differentiable simulation.
  • Optimization. Turn naive code into strong execution plans: vectorization, register and shared-memory usage, barriers and atomics, cooperative threading, dead-buffer and redundant-traffic elimination, dropping needless synchronization.
  • Primitives. Cholesky, eigendecomposition, matmul, reductions, solver kernels. Each owned with its correctness, benchmarks, and regression tracking.
  • Watching Genesis and the compiler together. Hunt for performance wins on both sides, in Genesis and in Quadrants itself. Propose API changes that cut duplication, improve readability, and reduce platform-specific special-casing.
  • The project as a product. Benchmark real workloads, track performance over time, catch regressions early. Stay close to users (Genesis first), find friction and missing abstractions, drive adoption, set direction.

Qualifications

  • Strong systems thinking with experience in GPU, compilers, and Python APIs.
  • understanding of IR, lowering, optimization, and kernel generation.
  • interest in differentiable simulation and multi-backend code generation.
  • proven ability to design in the open and work with external users.

Skills

Required:GPU programming concepts (shared memory, barriers, atomics)Python API designIR design and compiler backend conceptsPerformance engineering
Last updated Oct 15, 2026. Interested? Apply on the company site.

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