2 дня назад
Data Center Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Center Architect (AI): Developing standardized, scalable, high-density AI data center infrastructure designs with an accent on power, liquid cooling, mechanical and electrical systems. Focus on creating Basis of Design documentation, validating vendor and colocation designs, and ensuring reliable deployment of large-scale AI clusters.
Location: Hybrid, Headquarters/Sunnyvale Office, United States
Company
builds large-scale AI chip and computing systems designed to deliver high-speed model training and inference.
What you will do
- Develop and own the Basis of Design for AI data center deployments.
- Define infrastructure requirements with manufacturing, mechanical, electrical, thermal, networking and hardware engineering teams.
- Create standardized reference architectures and deployment templates for high-density AI clusters.
- Lead technical reviews of power distribution, liquid cooling, CDU architecture, chilled water systems and heat rejection.
- Review vendor drawings, calculations and equipment selections with colocation providers, EPC firms, consultants and OEMs.
- Support commissioning planning, FAT, SAT and operational readiness while improving design standards.
Requirements
- Bachelor’s or master’s degree in mechanical engineering, electrical engineering, architectural engineering or a related field.
- 10+ years of mission-critical or hyperscale data center design experience.
- Experience developing Basis of Design documentation and technical standards.
- Strong knowledge of high-density liquid cooling, power distribution, UPS, generators, switchgear, CDUs, chillers and cooling systems.
- Experience collaborating with multidisciplinary engineering teams and external design partners.
- Knowledge of ASHRAE, Uptime Institute, NEC, NFPA and ISO standards, with excellent communication and technical leadership skills.
Nice to have
- Professional Engineer license.
- Experience supporting AI infrastructure or semiconductor deployments.
- Experience with commissioning and operations of large-scale data centers.
- Familiarity with global colocation providers and EPC delivery models.
Culture & Benefits
- Work on an AI platform designed beyond the constraints of GPU-based systems.
- Opportunity to contribute to cutting-edge AI research and open-source releases.
- Work with one of the fastest AI supercomputers in the world.
- Startup vitality combined with job stability.
- Simple, non-corporate work culture with respect for individual beliefs and continuous learning.
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