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HomeCompaniesInferactMember of Technical Staff, Inference

Member of Technical Staff, Inference

Inferact · San Francisco · On Site · Active · Ashby

Job facts

FieldValue
CompanyInferact
TitleMember of Technical Staff, Inference
Normalized title-
Department / teamResearch & Engineering / Research & Engineering
LocationSan Francisco, CA, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Inferact.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Research & Engineering.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyInferact
Sourcee696b120-5356-4b40-9538-3bab05dde7af
ATS providerAshby

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 inference runtime engineer to push the boundaries of what's possible in LLM and diffusion model serving. Models grow larger. Architectures shift: mixture-of-experts, multimodal, agentic. Every breakthrough demands innovations on the inference engine itself. You'll work at the core of vLLM, optimizing how models execute across diverse hardware and architectures. Your work will directly impact how the world runs AI inference. Skills and Qualifications Minimum qualifications: Bachelor's degree or equivalent experience in computer science, engineering, or similar. Deep understanding of transformer architectures and their variants. Strong programming skills in Python with experience in PyTorch internals. Experience with LLM inference systems (vLLM, TensorRT-LLM, SGLang, TGI). Ability to read and implement model architectures and inference techniques from research papers. Demonstrate the ability to contribute performant and maintainable code and debug in complex ML codebases. Preferred qualifications: Deep understanding of KV-cache memory management, prefix caching, and hybrid model serving. Familiarity with RL frameworks and algorithms for LLMs. Experience with multimodal inference (audio/image/video/text). Contributions to open-source ML or system infrastructure projects. Bonus points if you have: Implemented core features in vLLM or other inference engine projects. Contributed to vLLM integrations (verl, OpenRLHF, Unsloth, LlamaFactory, etc). Written widely-shared technical blogs or side projects on vLLM or LLM inference. 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 IDeb776888f52673f379558a6b8ddc0220f602a475
Org ID15d4b3b1-5ecf-489b-8865-7cbdc8aa3c15
Source IDe696b120-5356-4b40-9538-3bab05dde7af
Board IDe696b120-5356-4b40-9538-3bab05dde7af
Providerashby
Provider Job Key9470565b-c62d-4de9-8b87-26d525ecec49
TitleMember of Technical Staff, Inference
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco
DepartmentResearch & Engineering
TeamResearch & Engineering
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/Inferact/9470565b-c62d-4de9-8b87-26d525ecec49
Apply URLhttps://jobs.ashbyhq.com/Inferact/9470565b-c62d-4de9-8b87-26d525ecec49/application
First Seen At2026-05-29 07:05:42Z
Last Seen At2026-06-06 09:39:45Z
Last Checked At2026-06-06 09:39:45Z
Last Changed At2026-05-29 07:05:42Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=Inferact/date=2026-06-06/2026-06-06T09-39-40-195Z-51cd272c6e4de2af29a7e6ad0a85c4d1e1ba2153ef13151e8af77857e068c122.json
Event Fields
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  "last_changed_at": "2026-05-29T07:05:42.948Z",
  "active_status": "active"
}
Parsed Structured
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  "workplace_type": "on_site",
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}
Extensions
{}
Native Structured
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  "title": "Member of Technical Staff, Inference",
  "jobUrl": "https://jobs.ashbyhq.com/Inferact/9470565b-c62d-4de9-8b87-26d525ecec49",
  "address": null,
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  "isListed": true,
  "isRemote": false,
  "location": "San Francisco",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Research & Engineering",
  "publishedAt": null,
  "workplaceType": "OnSite",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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