Member of Technical Staff, Inference
Inferact
San Francisco, CA · $200k–$400k a year · Posted June 18, 2026
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November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
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- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing pays about $300,000 a year. Across 133 open member of technical staff listings that state pay, the middle half runs $215,000 to $270,000 and the median is $240,000. That is 25% above the median, above the middle half of those listings.
Listed pay is what employers advertise, not what people are paid.
Member of Technical Staff salaries by state · Check your own pay
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
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 https://drive.google.com/file/d/1TWSDK2aZycxydMvPle230QSwuQtuNIyM/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1WxUM6hcXhb3CuJ_nWgnMmHF99XsuT9sI/view?usp=sharing.