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Active4mo ago

Member of Technical Staff, Inference

Inferact·📍 San Francisco, California, United States

Employment

FULL TIME

Work mode

On-site

Experience

SENIOR LEVEL

Salary

$200K – $400K/yr

Pay vs market · Above median

This job's pay ($300,000 a year at the midpoint) is higher than about 65% of 119 salary-listed Member of Technical Staff jobs in San Francisco in the last 12 months; their median is $285,000.

Salary data →

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 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 qualifications: Deep understanding of KV-cache memory management, prefix caching, and hybrid model serving. Familiarity with RL frameworks and algorithms for LLMs. Experience with multimodal inference (audio/image/video/text). Contributions to open-source ML or system infrastructure projects. Bonus points if you have: Implemented core features in vLLM or other inference engine projects. Contributed to vLLM integrations (verl, OpenRLHF, Unsloth, LlamaFactory, etc). Written widely-shared technical blogs or side projects on vLLM or LLM inference. Logistics Location: This role is based in San Francisco, California. Will consider remote in the US for exceptional candidates. Compensation: Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity. Visa sponsorship: We sponsor visas on a case-by-case basis. Benefits : Inferact offers generous health, dental, and vision benefits as well as 401(k) company match. Inferact, Inc. is an E-Verify company, and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish .

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About this listing

  • Source: Inferact's official careers site · still listed there on 11 Nov 2026
  • Posted 18 Jun 2026

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Role market pulse

How Member of Technical Staff demand looks in United States

71/100 · rising

Live jobs

276

Posted 30d

252

30d movement

+1382.4%

Remote share

23.9%

Salary listed

90.9%

Salary trend 1Y

Not enough history

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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