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Member of Technical Staff, Cloud Orchestration

Inferact

San Francisco, CA · $200k–$400k a year · Posted January 22, 2026

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Pay compared with the market

This listing pays about $300,000 a year. Across 130 open member of technical staff listings that state pay, the middle half runs $208,000 to $270,000 and the median is $240,000. That is 25% above the median, above the middle half of those listings.

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Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).

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Skills this job asks for

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  • Python
  • Logistics
  • AWS
  • Azure
  • Kubernetes

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 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 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.