# Member of Technical Staff, AMD GPU Performance Engineering at Inferact

- Company: Inferact
- What the company does: 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. Backed by Sequoia and Redpoint.
- Company website: https://inferact.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Pay: $200K to $400K base salary per year (USD)
- Posted: 2026-06-26
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/inferact/1d87c80a-0e58-4745-a51f-8bd48bc73ca8
- Page: https://www.1752.vc/careers/jobs/inferact-member-of-technical-staff-amd-gpu-performance-engineering/

## About the role

We're looking for an AMD GPU performance engineer to make vLLM a first-class inference engine across the AMD accelerator ecosystem. You'll build and optimize AMD GPU backends, kernels, runtime paths, and benchmarking infrastructure using ROCm, HIP, Triton, CK, AITER, and related tooling so vLLM can deliver frontier inference performance on AMD GPUs.

## What they're looking for

- Bachelor's degree or equivalent experience in computer science, engineering, systems, machine learning, or similar
- Hands-on experience optimizing AMD GPU workloads using ROCm, HIP, Triton, CK, AITER, or similar AMD ecosystem tools
- Deep understanding of AMD GPU execution, memory behavior, toolchains, kernel performance, and backend-specific performance constraints
- Experience optimizing ML kernels or inference paths such as attention, GEMM, sampling, KV cache, fused kernels, or communication-heavy runtime paths
- Strong performance profiling and benchmarking skills, with the ability to use measurements, hardware counters, correctness tests, and reproducible benchmarks to guide optimization work
- Experience with vLLM, SGLang, TensorRT-LLM, ROCm-based serving, or other LLM inference systems

Tags: Research & Engineering