Member of Technical Staff, Performance and Scale

About the role

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.

Skills And Qualifications

• Minimum qualifications: 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.

Preferred qualifications

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

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.

Benefits

Inferact offers generous health, dental, and vision benefits as well as 401(k) company match.