Lead Python ML Compiler & GPU Systems Engineer

Genesis; Northern (KY); Hybrid; USD 130,000 - 190,000; Full time

Job summary

Genesis is seeking a senior role to own Quadrants' end-to-end API, IR, and optimization passes. You will shape the surface for Pythonic numerical computing, lower computations to multiple backends, and push performance across GPU backends.

The role emphasizes readability, maintainability, and strong engineering discipline while enabling differentiable simulation. You will drive practical kernel generation, propose API changes, and mentor others, with Genesis first as a priority user and

Qualifications

• Deep knowledge of GPU architectures and memory models.
• Strong Python programming experience with idiomatic API design.
• Understanding of compilers, IR, lowering, and optimizations.

Responsibilities

• Own API, IR and lowering, optimization passes, numerical primitives, and roadmap.
• Build stable IR that lowers to multiple backends and supports differentiable simulation.
• Transform naive code into efficient execution plans using vectorization, memory optimization, and threading.
• Develop primitives like Cholesky, eigendecomposition, matmul, and reductions with benchmarks and regression tracking.
• Collaborate with Genesis on performance wins and API evolution, reducing duplication and improving usability.
• Lead a small team over time and engage with users to shape the product direction.

Skills

GPU knowledge

Python & API design

Compiler theory

Job description

Genesis is seeking a senior role to own Quadrants' end-to-end API, IR, and optimization passes. You will shape the surface for Pythonic numerical computing, lower computations to multiple backends, and push performance across GPU backends.

The role emphasizes readability, maintainability, and strong engineering discipline while enabling differentiable simulation. You will drive practical kernel generation, propose API changes, and mentor others, with Genesis first as a priority user and