ML Compiler & System
Genesis Therapeutics · London
ResearchCompany career page
The apply link worked recently (not employer-confirmed).
Role summary
Genesis Therapeutics seeks an ML compiler and systems engineer to own Quadrants, an open-source Python-to-machine-code translator for physics and numerical computing across CPU and GPU backends. The role spans API design, compiler optimization, and backend integration, with Genesis's physics simulator as the primary user and benchmark.
What they're looking for
- Expertise in GPU programming and compiler optimization techniques
- Strong systems-level thinking and architectural design experience
- Deep knowledge of Python, numerical computing frameworks like NumPy or PyTorch
- Experience with multiple hardware backends (CUDA, x86, ARM preferred)
- Track record shipping production systems or libraries at scale
What you'll be doing
- Design and maintain the public API and authoring experience for numerical Python engineers
- Build and optimize the IR, lowering passes, and multi-backend code generation
- Develop compiler optimization passes for vectorization, memory usage, and synchronization
- Own core numerical primitives (Cholesky, eigendecomposition, matmul, reductions) with correctness and regression tracking
- Drive adoption, benchmark real workloads, and refine direction based on Genesis and user feedback
Privacy & handoff
This role links to Genesis Therapeutics's own application system. RoleLantern records your interest and checks the link, but the application happens on the employer's site and status updates may not come back to us. Clicking apply does not mark you as applied automatically.