Inferact
Member of Technical Staff, Kernel Engineering
San Francisco · Staff+
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$21,187 more — $221,187 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $221,187 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
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.
Responsibilities
- When hardware vendors develop new chips, they integrate with vLLM.
Requirements
- Bachelor's degree or equivalent experience in computer science, engineering, or similar.
- Proficiency in C++ and Python with demonstrated ability to write high-performance code.
- Experience with profiling tools (Nsight, rocprof) and performance optimization methodologies.
- Strong understanding of GPU architecture: memory hierarchy, warp scheduling, tiling, tensor cores.
Nice to have
- 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.
Compensation
- Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity.
Benefits
- Inferact offers generous health, dental, and vision benefits as well as 401(k) company match.
Company info
- ABOUT THE ROLE We're looking for a performance engineer to squeeze every FLOP out of modern accelerators.
- 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.
Visa & Work Authorization
- We sponsor visas on a case-by-case basis.
This listing is sourced directly from Inferact's careers page and normalized into a canonical job model.