Senior Compiler Engineer
San Francisco, CA$200k - $350kFull-timePosted 5mo ago
About the role
Luminal optimizes AI models to accelerate and simplify model deployment using a search-based compiler. The role focuses on building core compiler infrastructure, optimization systems, and multi-target code generation to enable production-ready AI across diverse hardware.
Responsibilities
- Design and build core compiler infrastructure in Rust
- Build search-based optimization systems for discovering faster kernels
- Develop backend code generation for multiple targets (NVIDIA, Trainium, AMD, TPU, etc.)
- Implement compiler passes for fusion, scheduling, memory planning, and kernel selection
- Profile real models, identify bottlenecks, and improve latency and throughput
- Help shape Luminal’s engineering culture from the ground up
Qualifications
- Experience with compiler frameworks: LLVM, MLIR, or other custom compilers
- Hands-on experience with at least one of: PTX/SASS, GCN/RDNA assembly, or other GPU ISAs
- Familiarity with ML compilers: torch.compile (or custom PyTorch backend), XLA, TVM, etc.
Skills
Required:Compiler design and implementationGPU ISAs and assemblyBackend code generation
Nice to have:RustPerformance profiling
Last updated Aug 26, 2026. Interested? Apply on the company site.

About Luminal
Making AI run fast on any hardware.
Luminal builds an ML framework and compiler that generates GPU code. Our stack 10x's model speed while simplifying deployment and cutting idle GPU costs Github: https://github.com/luminal-ai/luminal Discord: https://discord.gg/APjuwHAbGy
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