Member of Technical Staff, and Scale

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.

• Bachelor's degree or equivalent experience in computer science, engineering, or similar.
• Strong systems programming skills in Rust, Go, or C++.
• Experience designing and building high-performance distributed systems at scale.
• Understanding of network protocols and high-performance I/O.
• Ability to debug complex distributed systems issues.

• Experience with ML serving infrastructure and disaggregated inference architecture.
• Familiarity with GPU programming models and memory hierarchies.
• Knowledge of GPU interconnects (NVLink, Infini Band, RoCE) and their performance characteristics.
• Track record of improving system reliability and performance at scale.

• Prior experience in supporting large-scale model training or inference environments.

Fresh graduates are welcome to apply. Minimum years of work experience: 0.

Compensation:
Monthly salary of S $15,000 to S $30,000, depending on background, skills, and experience, plus equity.

Benefits:
Inferact offers a generous benefits package, including medical, dental, and vision coverage.