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Founding GPU Compiler Engineer

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YC Work at a Startup

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Location:
United States , San Francisco

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

285000.00 - 315000.00 USD / Year
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Job Description:

We're hiring a Founding GPU Compiler Engineer to build the core compilation infrastructure for our AI compiler. That means taking models from PyTorch, JAX, and TensorFlow and turning them into highly optimized binaries for large-scale AI pre-training. You'll own the entire compiler stack, from ingesting StableHLO all the way to backend code generation, and you'll work across targets like NVIDIA, AMD, Trainium, and TPU. You'll help shape our architecture, tooling, and overall engineering culture from the very beginning.

Job Responsibility:

  • Design and implement the main compilation pipeline, from StableHLO to executable GPU and host binaries
  • Build and extend MLIR dialects and passes to optimize AI workloads
  • Develop backend code generation for multiple targets (NVIDIA PTX/SASS, AMD GCN/RDNA, Trainium, TPU)
  • Implement classic compiler optimizations customized for large-scale training (fusion, tiling, memory planning, scheduling)
  • Build search-based compiler infrastructure to explore different optimization options
  • Create hybrid codegen paths for cases where direct MLIR lowering isn't practical
  • Set up testing, benchmarking, and performance regression systems
  • Work closely with ML researchers to understand workload characteristics and find optimization opportunities

Requirements:

  • Deep experience with compiler infrastructure (LLVM, MLIR, or similar)
  • Strong background in GPU architecture and low-level optimization (CUDA, ROCm, or equivalent)
  • Hands-on experience with at least one of: PTX/SASS, GCN/RDNA assembly, or other GPU ISAs
  • Familiarity with ML compiler stacks (XLA, TVM, Triton, torch.compile, or similar)
  • Solid systems programming skills in C++ and/or Rust
  • Proven track record of building production-grade compiler infrastructure

Nice to have:

  • Background in distributed systems or multi-device compilation
  • Contributions to open-source compiler projects
  • Experience with autotuning or search-based optimization
  • Familiarity with large-scale training infrastructure
  • Experience with (Stable)HLO
What we offer:
  • bonus
  • equity
  • benefits
  • relocation assistance

Additional Information:

Job Posted:
January 07, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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