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Maintain and scale the compute infrastructure powering CI, releases, and performance benchmarks for the vLLM project across various accelerators. Focus on reducing CI time-to-signal and building tooling to support thousands of open-source contributors.
Requires strong experience with Docker, Kubernetes, and building CI/CD pipelines from scratch using tools like GitHub Actions or Buildkite. Proficiency in Python, Bash, or Go and solid Linux fundamentals are essential.
Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference efficient 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.
vLLM is growing at a fast pace, and every bit of that growth lands on the CI system. More models, more hardware, more contributors, more ways for things to break. Your job is to advance the CI system so it scales with vLLM’s momentum and unlocks faster development for everyone.
You’ll get to:
Maintain and scale the compute infrastructure that powers CI, release, performance benchmark, accuracy evaluation for vLLM project, across a wide range of models and accelerators including H100/H200, (G)B200/300, AMD MI325/355X, TPU, Intel Gaudi, etc..
Get creative about cutting CI time-to-signal from hours to minutes
Make sure every corner of vLLM code base is well-tested
Keep vLLM releases rock-solid
Build out tooling that helps 3,000+ vLLM contributors move fast
Minimum qualifications:
Strong experience with Docker, Kubernetes, and containerized build or test environments.
Built CI/CD pipelines from scratch using GitHub Actions, Buildkite, or similar systems.
Familiar with CI design patterns and CI techniques: compute orchestration, handling flaky tests, dependency/environment management, caching, remote execution, test target determination, etc, test coverage, and so on.
Fluent in Python, Bash, Go, or similar for automation and tooling.
Solid fundamentals of Linux, security, networking, storage, package management,.
Bonus points for:
Setting up infrastructure for ML, inference, CUDA, ROCm, or accelerator-heavy workloads.
Running Buildkite at scale, including agents, queues, dynamic pipelines, test sharding, caching, and artifact management.
Operating Kubernetes clusters for CI, batch jobs, test execution, or internal developer infrastructure.
Managing CI/CD in large open-source project
Building dashboards, alerts, runbooks, or tooling for CI observability.
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.
Building the future of inference
Inferact is a startup founded by creators and core maintainers of vLLM, the most popular open-source LLM inference engine. Our mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster.
Offices: San Francisco, CA, US
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