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Member of Technical Staff, Inference
Inferact · San Francisco · On Site · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Inferact |
| Title | Member of Technical Staff, Inference |
| 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 / 2026-06-06 |
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 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
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| 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 | 9470565b-c62d-4de9-8b87-26d525ecec49 |
| Title | Member of Technical Staff, Inference |
| 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/9470565b-c62d-4de9-8b87-26d525ecec49 |
| Apply URL | https://jobs.ashbyhq.com/Inferact/9470565b-c62d-4de9-8b87-26d525ecec49/application |
| First Seen At | 2026-05-29 07:05:42Z |
| Last Seen At | 2026-06-06 09:39:45Z |
| Last Checked At | 2026-06-06 09:39:45Z |
| 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=2026-06-06/2026-06-06T09-39-40-195Z-51cd272c6e4de2af29a7e6ad0a85c4d1e1ba2153ef13151e8af77857e068c122.json |
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