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Member of Technical Staff, Kernel Engineering

Inferact · Singapore, Singapore

Location
Singapore, Singapore, Singapore
Employment
Full time
Level
Staff
Posted
2 months ago

About this role

Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware - a position that took years to build.

About the Role

We're looking for a performance engineer to squeeze every FLOP out of modern accelerators. You'll write the kernels and low-level optimizations that make vLLM the fastest inference engine in the world. Your code will run on hundreds of accelerator types, from NVIDIA GPUs to emerging silicon. When hardware vendors develop new chips, they integrate with vLLM. You'll work directly with these teams to ensure we're extracting maximum performance from every generation of hardware.

Skills and Qualifications

Minimum qualifications:

  • Bachelor's degree or equivalent experience in computer science, engineering, or similar.

  • Deep experience writing CUDA kernels or equivalent (CuTeDSL, Triton, TileLang, Pallas).

  • Strong understanding of GPU architecture: memory hierarchy, warp scheduling, tiling, tensor cores.

  • Proficiency in C++ and Python with demonstrated ability to write high-performance code.

  • Experience with profiling tools (Nsight, rocprof) and performance optimization methodologies.

  • Obsession with benchmarks and squeezing every percentage point of speedup.

Preferred qualifications:

  • Experience with ML-specific kernel optimization (FlashAttention, fused kernels).

  • Knowledge of quantization techniques (INT8, FP8, mixed-precision).

  • Familiarity with multiple accelerator platforms (NVIDIA, AMD, TPU, Intel).

  • Experience with compiler technologies (LLVM, MLIR, XLA).

Bonus points if you have:

  • Kernel-related contributions to vLLM or other inference engine projects.

  • Contributions to open-source GPU, ML systems, or compiler optimization projects

  • Written deep technical blogs on GPU optimization.

Logistics

  • Location: This role is based in Singapore.

  • Compensation: Depending on background, skills, and experience, the expected annual salary range for this position is S$200,000 to S$400,000 annually + equity.

  • Visa sponsorship: We sponsor visas on a case-by-case basis.

  • Benefits: Inferact offers a generous benefits package, including medical, dental, and vision coverage.

As published by Inferact. Applications are handled on their site.

Skills this posting mentions

KernelCUDAPerformance Optimization

About Inferact

Inferact is a startup founded by creators and core maintainers of vLLM, the most popular open-source LLM inference engine. Our mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster.

All 19 openings at Inferact

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Apply to Inferact with a resume written for this role.

Queue Member of Technical Staff, Kernel Engineering and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Inferact’s form for you.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

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    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

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Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • New matches ranked and written before you are up.
  • Every bullet stays inside what your history supports. Nothing invented.
  • Queued, submitted, interviewing, offer: one screen, not a spreadsheet.

500 free credits on sign-up. No card. Nothing is sent until you say so.

Listed from the job board Inferact publishes. Refolk is not the employer and does not handle their hiring. Applications go to Inferact directly.