FuriosaAI
As of 4 November 2026, FuriosaAI has 62 open roles (17 new in 30 days), its software engineering team is hiring most, and its postings name Python, Linux and C++ as the tools the team works in.
As of 4 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- Santa Clara, California, South Korea
- Employees
- 51-200 employees (linkedin)
- Sells to
- enterprise ai, agentic ai systems
- Certifications on site
- Site languages
- EN
- Career system
- Greenhouse
FuriosaAI in one screen
Read from furiosa.ai: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
FuriosaAI is an AI infrastructure company that designs and manufactures RNGD AI accelerator chips and NXT RNGD servers for enterprise LLM inference. Its offerings include the RNGD PCIe accelerator card, the NXT RNGD server, and the Furiosa SDK software toolchain for model compilation and deployment. The company targets enterprise and agentic AI workloads.
Named on the site: enterprise ai, agentic ai systems.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 575 scored.
What FuriosaAI says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
s software gets built, versioned, packaged, and shipped — turning a multi-language, multi-repository codebase (Rust, Python, C/C++) into reproducible, well-versioned releases of the various packages that make up the Furiosa SDK and that cus• 검증에 필요한 SoC 부트로더·임베디드 Linux 및 호스트 Linux 디바이스 드라이버를 분석하고 수정·빌드·배포합니다.re gets built, versioned, packaged, and shipped — turning a multi-language, multi-repository codebase (Rust, Python, C/C++) into reproducible, well-versioned releases of the various packages that make up the Furiosa SDK and that customers aiosaAI's software gets built, versioned, packaged, and shipped — turning a multi-language, multi-repository codebase (Rust, Python, C/C++) into reproducible, well-versioned releases of the various packages that make up the Furiosa SDK and tSystem-level Issue Debugging & Workaround 도출: HW(RTL)와 SW(Firmware/Driver) 경계에서 발생하는 복합적인 이슈 원인 분석 (JTAG, Trace32 등 활용), 문제 해결을 위한 Workaround 솔루션 도출 및 유관 부서 리포팅Develops embedded firmware (PERT) that runs on the NPU's integrated ARM core, managing on-device scheduling, synchronization, and hardware resource control.Python·Bash 등을 활용해 반복 작업을 자동화하고, 로그나 예외 처리 부족으로 발생하는 운영 문제를 개선합니다.
Our stack uses llm-d and Furiosa-LLM, with Istio for traffic management in Kubernetes-based deployments and Mooncake for L3 KV-cache storage.Implement your designs in RTL (System Verilog or other HDLs) and iterate the design for optimal power, timing, and area.ackaging and distribution pipelines for publicly distributed artifacts — Python wheels (PyPI), APT/RPM packages, and Docker images — including Docker image builds, versioned tagging, signing, metadata, and package repository and container rEnables multi-node inference by implementing foundational communication primitives, including RDMA-based data transfer for low-latency, high-bandwidth inter-node operations.• AI 에이전트 기반 업무 orchestration: Claude Code·Codex 같은 AI 에이전트에 장비 bring-up, 빌드, 시험 실행, 로그 분석, 문서화를 나눠 맡기고, 여러 에이전트가 랩 장비를 충돌 없이 나눠 쓰도록 장비 예약·잠금, 원격 제어 API, 작업 큐 같은 기반을 설계합니다.• AI 에이전트 기반 업무 orchestration: Claude Code·Codex 같은 AI 에이전트에 장비 bring-up, 빌드, 시험 실행, 로그 분석, 문서화를 나눠 맡기고, 여러 에이전트가 랩 장비를 충돌 없이 나눠 쓰도록 장비 예약·잠금, 원격 제어 API, 작업 큐 같은 기반을 설계합니다.DVFS & Power Management: Design and develop dynamic voltage and frequency scaling policies and drivers utilizing cpufreq, devfreq, and SCMI under Embedded Linux.Vendors whose code loads on furiosa.ai or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
62 open roles, 66 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team.
| open · new 30 d | |
|---|---|
| Software engineering | 18 · 4 |
| Engineering (non-software) | 17 · 6 |
| Data & AI | 6 · 0 |
| IT operations & business systems | 5 · 1 |
| Business development & strategy | 4 · 1 |
| Finance & accounting | 4 · 1 |
| Marketing & communications | 3 · 0 |
| Human resources | 1 · 1 |
| Product, program & project management | 1 · 1 |
| Quality, safety & environment | 1 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add FuriosaAI to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like FuriosaAI
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 575 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
FuriosaAI (Santa Clara, South Korea, 51-200 employees) has 62 open roles, 17 new in 30 days, and names 14 tools in its postings. (Breaknorm, 4 November 2026, https://breaknorm.co/company/furiosa.ai)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from furiosa.ai: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Greenhouse career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
FuriosaAI: questions
Does FuriosaAI use Python?
Yes, by the company's own words: 23 postings name it, first seen 2026-08-19, in the software engineering team.
Is FuriosaAI hiring?
62 open roles as of 4 November 2026, 17 opened in the last 30 days and 4 closed. The largest team hiring is software engineering.
Where does this profile come from?
From furiosa.ai itself: we crawled it on 2026-08-20, built the profile on 2026-08-22, and read its career site (Greenhouse) hourly since. Headcount is from LinkedIn.
Who should I write to at FuriosaAI?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 4 public role addresses from the site are there too.
Get this company your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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