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Member of Technical Staff, Performance and Scale
Inferact · San Francisco · On Site · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Inferact |
| Title | Member of Technical Staff, Performance and Scale |
| Normalized title | - |
| Department / team | Research & Engineering / Research & Engineering |
| Location | San Francisco, CA, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Ashby |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-22 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Inferact. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Ashby. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Francisco. | Open |
| Department jobs | Active postings in Research & Engineering. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Inferact |
| Source | e696b120-5356-4b40-9538-3bab05dde7af |
| ATS provider | Ashby |
Description
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.
Full job record
| Job ID | c5341381ba78922f9e356719241931532561eb6d |
| Org ID | 15d4b3b1-5ecf-489b-8865-7cbdc8aa3c15 |
| Source ID | e696b120-5356-4b40-9538-3bab05dde7af |
| Board ID | e696b120-5356-4b40-9538-3bab05dde7af |
| Provider | ashby |
| Provider Job Key | 7f934a1b-1845-4f25-8fe4-1def2b039f60 |
| Title | Member of Technical Staff, Performance and Scale |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Francisco |
| Department | Research & Engineering |
| Team | Research & Engineering |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | San Francisco |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.ashbyhq.com/Inferact/7f934a1b-1845-4f25-8fe4-1def2b039f60 |
| Apply URL | https://jobs.ashbyhq.com/Inferact/7f934a1b-1845-4f25-8fe4-1def2b039f60/application |
| First Seen At | 2026-05-29 07:05:42Z |
| Last Seen At | 2026-06-22 10:05:40Z |
| Last Checked At | 2026-06-22 10:05:40Z |
| Last Changed At | 2026-05-29 07:05:42Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=Inferact/date=2026-06-22/2026-06-22T10-05-39-270Z-0f08283e84905e180b6897544ad0b22a758c78896b5fb177211904a8fe461233.json |
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