I
San Francisco, California, United States· Full-time
$200K – $400K/yr
PythonAILogistics
I
Salary not disclosed
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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 an inference runtime engineer to push the boundaries of what's possible in LLM and diffusion model serving. Models grow larger. Architectures shift: mixture-of-experts, multimodal, agentic. Every breakthrough demands innovations on the inference engine itself. You'll work at the core of vLLM, optimizing how models execute across diverse hardware and architectures. Your work will directly impact how the world runs AI inference. Skills and Qualifications Minimum qualifications: Bachelor's degree or equivalent experience in computer science, engineering, or similar. Deep understanding
…About this listing
- Source: Inferact's official careers site (via Ashby) · last confirmed on the source 31 Oct 2026
- Posted 4 Sept 2026
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How Member of Technical Staff demand looks in United States
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81.8%
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 understanding of transformer architectures and their variants. Strong programming skills in Python with experience in PyTorch internals. Experience with LLM inference systems (vLLM, TensorRT-LLM, SGLang, TGI). Ability to read and implement model architectures and inference techniques from research papers. Demonstrate the ability to contribute performant and maintainable code and debug in complex ML codebases. Preferred
Department · Research & Engineering
Hiring company
Inferact
Transportation & Logistics
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