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Inferact

Member of Technical Staff, Performance and Scale

San FranciscoOnsite · United States
Staff · FullTime · Research & Engineering
POSTED 22 JANVERIFIED 9H AGO
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Role
292 days opentrue age
Posted 22 Jan
Payats field
$200k–400kposted
▲ +25% vs market median $240k
$200k$400k
Market p25–p75
$205k–$284k
Inferact p25–p75
$300kn=9
H-1B median · Software engineering
$360k
SF Bay Area · n=969 · 365d to 6 Nov
CompanyInferact →
32open roles
Opened · 30d
+0
Closed · 30d
−0
3d of snapshots · 30d window
Market
9,266open · Staff Software engineering
Opened · 7d
+4995% of open
All software engineering
75,148open
All tracked boards · live 10 Nov · n=9,266
Visa
5H-1B LCAs · FY26
Median wage
$280k
LCAs FY26 · n=5 · to 2026-05-14
GoRustC++Distributed systems

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.

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.

Source · InferactFirst seen 2 Nov1 editsOriginal ↗