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Member of Technical Staff, Kernel Engineering

InferactSingapore, Singapore

$200K – $400KEngineeringStaffFull time
Source-verified: read directly from this employer's own ashby job board, not a repost.On-sitePosted (2 months ago)Last verified (today)

At a glance

Location
Singapore, Singapore
Workplace
On-site
Pay
$200K – $400K
Employment type
Full time
Experience
Not stated
Education
Bachelor (or equivalent)
Job family
Engineering
Seniority
Staff
Posted by employer
24 June 2026
Last verified open
7 September 2026
Region and country
Singapore, SG
Team
Research & Engineering
Listed via
Ashby

What the employer wrote

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.

Where this record came from

Read from Inferact's own Ashby job board on , and last confirmed still open on . The employer published it on 24 June 2026. Jobsearch.ing did not write, edit or rank this posting, and does not vet the employer. View the original posting.

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