Member of Technical Staff, Performance and Scale
At a glance
Senior Software Engineering role at Inferact. San Francisco · full-time · $200,000–$400,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build the distributed infrastructure that lets vLLM serve models across large accelerator fleets with low latency and strong reliability
- Design and implement the core system layers that support inference across thousands of accelerators
- Debug difficult failures across distributed systems and improve their performance and reliability
What you bring
- A computer science, engineering or similar degree, or equivalent practical experience
- Strong systems programming ability in Rust, Go or C++, plus experience building high-performance distributed systems at scale
- You understand network protocols and fast I/O, and can investigate complex distributed-system problems
Who this fits
This senior infrastructure role suits someone focused on distributed systems and inference performance. The position is based in San Francisco, with U.S. remote work considered for exceptional candidates. Visa sponsorship is handled case by case.
From the employer
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.
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. 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.
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.
Bonus points if you have:
Prior experience in supporting large‑scale model training or inference environments.
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.
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.
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