FuriosaAI is searching for a Talent Acquisition - Recruiter to drive our global talent acquisition efforts and help scale our organization. Partnering directly with hiring managers and cross-functional leadership, you will execute robust hiring strategies and initiatives to engage with world-class talent across competitive markets. You will act as both a strategic advisor and hands-on executor for FuriosaAI’s global organization, while actively championing our employer brand to ensure we remain a top destination for world’s top innovators and technical talents.
ResponsibilitiesGlobal TA Execution & Strategy: Own the end-to-end recruitment lifecycle for assigned business areas. Partner closely with hiring managers to translate aggressive business growth plans into actionable, data-driven hiring strategies.
Proactive Market Intelligence & Pipelining: Execute aggressive, forward-looking talent mapping. Continuously build and nurture a "warm bench" of world-class candidates for critical technical roles—engaging top-tier talent long before immediate hiring demands arise.
Recruiting Excellence & Candidate Experience: Establish and maintain frictionless, data-informed hiring workflows that optimize sourcing, elevate the candidate experience, and drive hiring velocity without sacrificing quality.
Advisory & Execution: Act as a strategic talent consultant to hiring managers. Guide them on best-in-class recruiting practices, rigorous interviewing techniques, and competitive closing strategies to secure top talent.
Employer Branding: Contribute to and amplify FuriosaAI’s global employer brand, helping to position the company as a premier destination for top-tier tech talent through active market engagement and networking.
5+ years of dedicated full-cycle Talent Acquisition experience, preferably within a global high-growth technology environment.
Proven track record of managing end-to-end recruiting operations and executing global hiring initiatives.
Demonstrated success in proactive sourcing, aggressive market pipelining, and closing exceptional talent (including senior-level ICs or niche technical roles) within highly competitive markets.
Strong hands-on, data-informed mindset; leveraging metrics and insights to optimize recruiting performance and drive hiring decisions in a high-touch environment.
Exceptional stakeholder management skills, with the ability to act as a trusted consultant and guide for business and engineering leaders.
Business fluency in English, coupled with strong technical acumen to understand complex engineering requirements.
Direct experience hiring within the semiconductor, AI, deep-tech, or Big Tech industries.
Hands-on experience in hiring and navigating international talent markets and hiring landscapes (e.g., US, EU, APAC).
Experience supporting or contributing to targeted employer branding initiatives.
Familiarity with modern ATS platforms and a knack for adapting to lightweight, scalable recruiting workflows.
Skills Required
- 5+ years of full-cycle Talent Acquisition experience in technology
- Proven track record in recruiting operations
- Experience in sourcing and closing technical talent
- Strong stakeholder management skills
- Business fluency in English
What We Do
FuriosaAI designs and develops data center accelerators for the most advanced AI models and applications. Our mission is to make AI computing sustainable so everyone on Earth has access to powerful AI. Our Background Three misfit engineers with each from HW, SW and algorithm fields who had previously worked for AMD, Qualcomm and Samsung got together and founded FuriosaAI in 2017 to build the world’s best AI chips. The company has raised more than $100 million, with investments from DSC Investment, Korea Development Bank, and Naver, the largest internet provider in Korea. We have partnered on our first two products with a wide range of industry leaders including TSMC, ASUS, SK Hynix, GUC, and Samsung. FuriosaAI now has over 140 employees across Seoul, Silicon Valley, and Europe. Our Approach We are building full stack solutions to offer the most optimal combination of programmability, efficiency, and ease of use. We achieve this through a “first principles” approach to engineering: We start with the core problem, which is how to accelerate.
