Member of Technical Staff, Kernel Engineering
- Pay
- $200,000 – $400,000 per year
- Location
- San Francisco, CA · On-site
- Job type
- Full-time
- Level
- Senior
- Education
- Bachelor's degree
- Listed
- 30 days ago
Skills & highlights for this role
- CUDA kernel development
- C++
- Python
- GPU architecture
- Nsight profiling
Also useful
- Triton
- FlashAttention
- LLVM
- MLIR
- quantization (INT8, FP8)
Stated benefits & perks
- Health
- Dental
- Vision
- 401k match
About the 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.
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 San Francisco, California. Will consider remote in the US for exceptional candidates.
- Compensation: Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity.
- Visa sponsorship: We sponsor visas on a case-by-case basis.
- Benefits: Inferact offers generous health, dental, and vision benefits as well as 401(k) company match.
From Inferact's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Member of Technical Staff, Kernel Engineering role at Inferact?
The Member of Technical Staff, Kernel Engineering posting at Inferact states compensation of $200,000 – $400,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Inferact's official career site.
Where is the Member of Technical Staff, Kernel Engineering job at Inferact located?
This Member of Technical Staff, Kernel Engineering position at Inferact is located in San Francisco, CA (On-site). Always check Inferact's application page for specific state eligibility or relocation policies.
What qualifications are required for Member of Technical Staff, Kernel Engineering at Inferact?
For the Member of Technical Staff, Kernel Engineering role, Inferact highlights a bachelor's degree; experience with CUDA kernel development, C++, Python, GPU architecture, Nsight profiling. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Member of Technical Staff, Kernel Engineering position at Inferact?
This listing links directly to Inferact's Ashby application page. You can apply directly on Inferact's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.