Inferact
Member of Technical Staff, Performance and Scale
San Francisco · Staff+
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$21,187 more — $221,187 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $221,187 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- 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
Responsibilities
- You'll design and implement the foundational layers that enable vLLM to serve models across thousands of accelerators with minimal latency and maximum reliability.
Requirements
- Bachelor's degree or equivalent experience in computer science, engineering, or similar.
- 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.
- Visa sponsorship: We sponsor visas on a case-by-case basis.
Skills
- Tomorrow, deploying a frontier model at scale should be as straightforward as spinning up a serverless database.
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.
Company info
- 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.
Visa & Work Authorization
- We sponsor visas on a case-by-case basis.
This listing is sourced directly from Inferact's careers page and normalized into a canonical job model.