Inferact · San Francisco
Build distributed systems for vLLM inference serving across thousands of accelerators, with a focus on minimal latency and reliability. Requires systems programming in Rust, Go, or C++ and experience with high-performance distributed systems and network protocols. Preferred experience includes ML serving infrastructure and GPU interconnects (NVLink, InfiniBand, RoCE).
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 infrastructure engineer to build the distributed systems that power inference at global scale. You'll design and implement the foundational layers that enable vLLM to serve models across thousands of accelerators with minimal latency and maximum reliability. Tomorrow, deploying a frontier model at scale should be as straightforward as spinning up a serverless database. The complexity doesn't disappear as it gets absorbed into the infrastructure you're building.
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