--- title: 'Vulnerability Disclosure at FuriosaAI' canonical: 'https://feeny.ai/job/vulnerability-disclosure-furiosaai-tkbs30tykqpx' type: 'job' last_seen: '2026-11-05' --- # Vulnerability Disclosure at FuriosaAI - **Company:** FuriosaAI - **Last confirmed live:** 2026-11-05 - **Apply:** https://www.ashbyhq.com/disclosure ## About FuriosaAI ## Company Overview - **One-liner**: FuriosaAI designs and develops data center AI accelerators purpose-built for efficient inference of large language models (LLMs) and multimodal models. - **Entity Type**: Private (Series C) - **Headquarters**: Seoul, South Korea - **Founded**: 2017 - **Founders**: Three co‑founders (names not publicly disclosed) with backgrounds in hardware, software, and algorithms, previously at AMD, Qualcomm, and Samsung. ## Core Business - **Primary industry**: Semiconductor Manufacturing / AI Hardware - **Target customers**: B2B – hyperscalers, enterprise data centers, cloud providers, and AI‑focused companies deploying LLM and agentic workloads. - **Mission**: “Make AI computing sustainable so everyone on Earth has access to powerful AI.” ## Products & Services - **RNGD (Renegade)**: Second‑generation data center accelerator (TSMC 5nm) for LLM and multimodal inference. Features a Tensor Contraction Processor (TCP) architecture (ISCA 2024) instead of fixed‑size matmul primitives, delivering high throughput and low latency. 4 petaFLOPS, 12 TB/s memory bandwidth, 384 GB HBM3 capacity. - **NXT RNGD Server**: Multi‑card inference appliance (3 kW, air‑cooled) for agentic systems. Contains 8× RNGD cards, supports containerization, SR‑IOV, Kubernetes. Designed for on‑premises, colocation, or managed environments. - **Vision NPU**: First‑generation neural processing unit (Samsung 14nm, later Samsung Foundry) for computer vision, deployed with Kakao and other partners. - **Furiosa Software**: Comprehensive toolchain for LLM inference and agentic workloads – compilation, optimization, and production deployment. PyTorch 2.x integration, Hugging Face ecosystem support. ## Market Standing - **Valuation / Market Cap**: Not disclosed. - **Key Metric**: Total funding > **$100 M** (includes a Series C of **$123.1 M** in August 2025; earlier rounds include a $80 M Series C in 2023 and seed funding in 2017 – some reports show an $80 B figure, likely a data error). - **Notable Investors/Partners**: DSC Investment, Korea Development Bank, Naver (largest Korean internet provider). Partners: TSMC, ASUS, SK Hynix, Samsung, GUC, Hugging Face, LG AI Research. - **Growth Signals**: 140 employees (+43.4% YoY). Revenue of ~$1 M (early stage). Expanded to 5 countries (US, Portugal, Germany, Singapore). RNGD sampling began in 2025 with global technology companies; mass production scheduled for 2026. Established a European flagship office in Lisbon. ## Competitive Advantages - **Tensor Contraction Processor (TCP) architecture**: Designed for tensor contraction (the fundamental operation of modern deep learning) rather than rigid matrix‑multiply instructions, enabling higher efficiency and programmability. - **Full‑stack approach**: Hardware + software + compiler optimizations, ensuring seamless model deployment from PyTorch to production. - **Power efficiency**: 3 kW NXT RNGD Server delivers up to 4× more inference capacity per rack compared to alternatives, and works with standard air‑cooled data centers (15 kW/rack limit). - **Programmability**: Compiler‑based flexibility to adapt to evolving AI models without hardware changes. ## Strategic Focus - **Inference‑first**: Prioritizing inference (not training) for LLMs and agentic AI, where data center power density is a growing bottleneck. - **Cost‑efficient scaling**: Lowering total cost of ownership through reduced energy draw, fewer racks, and standard cooling. - **Global expansion**: Building presence in North America, Europe, and Asia‑Pacific to capture enterprise and cloud customers. - **Ecosystem development**: Through the Furiosa Access Program, enabling customers to evaluate and integrate RNGD hardware and software. ## Why Work Here - **Culture**: “First principles” engineering approach – solving core problems in AI acceleration. Emphasis on full‑stack innovation spanning hardware, software, and algorithms. - **Locations**: Seoul (HQ), Santa Clara CA, Lisbon, Singapore, Germany. Remote roles available in the US and Europe (non‑Portugal). - **Team**: 140+ employees with a technical majority (94/140 in technical roles). Notable talent from Samsung, SK Hynix, Google, Naver, and KAIST. - **Open roles** (54 active postings, growing ~15% monthly): Machine Learning Engineer (Agentic AI), AI Research Engineer, Compiler Engineer, Hardware Architect, Design Verification, Field Application Engineer, Solutions Architect, and more. - **Perks**: Not explicitly listed, but the global, distributed setup and cutting‑edge AI chip work are key draws. Contact: recruit@furiosa.ai. ## Sources 1. [furiosa.ai – About](https://furiosa.ai/about) 2. [furiosa.ai – Homepage](https://furiosa.ai/) 3. [furiosa.ai – Careers](https://furiosa.ai/careers) 4. [LinkedIn – FuriosaAI](https://www.linkedin.com/company/furiosaai) 5. 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