I
Singapore, Singapore· Full-time
S$200K – S$400K/yr
Machine LearningAILogistics
I
Role overview
Job description
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,
…About this listing
- Source: Inferact's official careers site (via Ashby) · last confirmed on the source 31 Oct 2026
- Posted 24 Jun 2026
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How Member of Technical Staff demand looks in Singapore
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20
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Early signal
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Salary listed
35%
Salary trend 1Y
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What they are looking for
Skills & requirements
Qualification
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
Department · Research & Engineering
Hiring company
Inferact
Transportation & Logistics
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