Inferact · San Francisco
Build cluster management, deployment automation, and production monitoring for vLLM at large scale. Requires Kubernetes at scale, custom Kubernetes operators, Python/Rust/Go, and infrastructure-as-code (Terraform, Helm). Also requires managing GPU clusters and working across AWS, GCP, Azure, and on-premise infrastructure.
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.
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.
Minimum qualifications:
Preferred qualifications:
Bonus points if you have:
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.
Compensation: $200K - $400K