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Active9mo ago

Member of Technical Staff, Cloud Orchestration

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.

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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 cloud orchestration engineer to build the operational backbone that keeps vLLM running reliably at massive scale. You'll design the systems for cluster management, deployment automation, and production monitoring that enable teams worldwide to serve AI models without friction. You'll ensure that vLLM deployments are observable, debuggable, and recoverable, turning operational complexity into infrastructure that just works. Skills and Qualifications Minimum qualifications: Bachelor's degree or equivalent experience in computer science, engineering, or similar. Strong experience with Kubernetes and container orchestration at scale. Experience designing and implementing custom Kubernetes operators. Proficiency in Python/Rust/Go and infrastructure-as-code tools (Terraform, Helm, etc). Experience managing GPU clusters and debugging hardware issues. Ability to work across cloud platforms (AWS, GCP, Azure) and on-premise infrastructure. Preferred qualifications: Experience with ML-specific orchestration tools (Ray, Slurm). Knowledge of GPU scheduling, multi-tenancy, and resource optimization. Familiarity with vLLM deployment patterns and configuration. Track record of improving operational reliability for ML systems. Bonus points if you have: Experience deploying inference systems on large-scale GPU (1,000+) clusters. 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 22 Jan 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. Strong experience with Kubernetes and container orchestration at scale. Experience designing and implementing custom Kubernetes operators. Proficiency in Python/Rust/Go and infrastructure-as-code tools (Terraform, Helm, etc). Experience managing GPU clusters and debugging hardware issues. Ability to work across cloud platforms (AWS, GCP, Azure) and on-premise infrastructure. Preferred

Department · Research & Engineering

Hiring company

Inferact

Transportation & Logistics

View the company profile, current openings and hiring details.

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