Founding Kernel Engineer

Luminal AI, Inc.

San Francisco, CAFull-time$150–250K/yrPosted 2 days agoStill listed today

Most applications go out cold — see where you stand first. No sign-up to start.

You apply on the employer's site, with no Olive account needed.

Watch jobs like this.

Don't just apply. Show up ready.

Olive works from this exact posting.

At a glance

Compensation
$150–250K/yr
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Visa required • Visa sponsorship

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Luminal AI builds an AI compiler and serving stack to improve model execution across accelerators. The Founding Kernel Engineer will research and build faster kernels for AI workloads, work closely with the compiler team, investigate performance bottlenecks, and carry optimizations through correctness checks, benchmarking, and execution on real hardware. The team works in person in San Francisco.

Skills & qualifications

RequiredNice to have

Skills

GPU Kernel DevelopmentKernel Autoresearch FrameworksML CompilersHardware Performance AnalysisMemory HierarchiesParallel ExecutionBenchmarkingCUDATritonGPU Instruction SetsMLIRLLVMPyTorch BackendsRustOpen-Source Compiler ContributionsAccelerator Development

Qualifications

Hands-on GPU Kernel Experience

Full job description

Qualifications

  • Hands-on experience developing GPU kernels.

Nice to haves

  • Prior work on kernel autoresearch frameworks is a very strong positive.

  • Experience with ML compilers is a strong positive, but not required.

  • Hardware performance analysis, memory hierarchies, parallel execution, and benchmarking.

  • CUDA, Triton, GPU instruction sets, or compiler systems such as MLIR/LLVM and PyTorch backends.

  • Rust, open-source compiler contributions, or work on other accelerators.

No degree requirement. Researchers, recent PhDs, and candidates with substantial relevant projects are welcome. Company Luminal (YC S25) builds an AI compiler and serving stack that optimizes models for faster, more efficient execution across accelerators. We're a small team working in person in San Francisco. Role Research and build faster kernels for AI workloads. You'll work closely with the compiler team, investigate performance bottlenecks, and take optimizations through correctness checks, benchmarking, and execution on real hardware. Our focus includes:

  • Agent-driven systems that write, test, and improve kernels.

  • Automated kernel research and search-based performance optimization.

  • More efficient execution for inference and LLM training.

Candidates who require a US visa are welcome to apply. Location and compensation San Francisco, CA, US · Full-time · On-site. Annual base salary: $150,000–$250,000 USD. Equity: 0.15%–0.75%. Visa: Will sponsor.

Prepare for this role

You've read the whole posting — now see how you match it.