inferact - Member of Technical Staff, AMD GPU Performance Engineering
Requirements
• 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. • Familiarity with batching, KV cache, decoding, serving tradeoffs, and backend performance constraints in production inference systems. • Experience with compiler and kernel technologies such as Triton, MLIR, LLVM, CK, AITER, HIP, or other kernel DSLs and backend libraries. • Knowledge of quantization methods such as INT8, FP8, mixed precision, or AMD hardware-specific numeric formats, including accuracy and performance tradeoffs. • Contributed to vLLM, ROCm, HIP, Triton, CK, AITER, PyTorch, compiler projects, or other open-source ML infrastructure. • Built AMD GPU benchmarking infrastructure or automated performance regression detection for accelerator workloads. • Worked directly with AMD, accelerator platform teams, or early-access programs to ship backend, compiler, or inference performance improvements. • 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.
Benefits
• SGD 200K – SGD 400K • Offers Equity • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • (City, State, Country) • or drag and drop here • Please share a link to a personal project, open-source contribution, or technical blog post that you're most proud of or find most relevant to this role. • Your answer won't affect your candidacy. • If you require visa sponsorship, please share any relevant information on your current visa status and any potential timing considerations. • If your background is primarily CUDA, tell us that here and describe the closest AMD work you have done. • Work, open source, and side projects all count. We care more about what you decided to do on your own judgment than about how large the project was.
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