Inferact

Member of Technical Staff, Kernel Engineering

San Francisco · Staff+

H1B sponsorship available$200k-$400kDetected 181 days ago

PythonC++Machine LearningLogistics

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.

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

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

Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity.

Inferact offers generous health, dental, and vision benefits as well as 401(k) company match.

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.

This listing is sourced directly from Inferact's careers page and normalized into a canonical job model.