Member of Technical Staff, Performance and Scale

The role

You will build distributed systems that power inference at global scale. You will design and implement foundational layers to enable vLLM to serve models across thousands of accelerators.

What you will do

• Build the distributed systems that power inference at global scale
• Design and implement the foundational layers that enable vLLM to serve models across thousands of accelerators

Required 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

Nice to have

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

Benefits

• medical, dental, and vision coverage

Before you apply

• We sponsor visas on a case-by-case basis

About the company

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.