Nvidia Hardware Systems Architect 

United States, California 

435827108

What You’ll Be Doing:

• Contribute to future aspects of our GPU hardware and system architectures.

• Design and implement hardware system and cluster architecture that run demanding hyperscale distributed workloads in a cloud native environment

• Cross-disciplinary role drivingArchitecture/Hardware/Verification/Software/Application

• Design and deploy the system / cluster that strikes the right balance between requirements imposed by all these teams, while optimizing for time-to-market.

• Review upstream product requirements, define downstream requirements, build specification documents, conduct technical reviews.

• Build processes and methodologies that can improve efficiency and quality of result.

What We Need To See:

• BS, MS, or PhD in Electrical/Computer Engineering or equivalent experience.

• 10+ years of work-related experience in hardware and system architecture

• Experienced, hard-working engineer with creative initiative and a consistent track record of developing sophisticated HW systems and clusters from initial definition throughout the deployment .

• Familiar with data center power and cooling infrastructure, HW life cycle management and operations in data center environment

• Comfortable working through ambiguity

• Demonstrates deep understanding of system-level impact of design choices and good judgment in negotiating tradeoffs

• Consistent record of leading complex system designs and closely collaborating with a variety of teams and subject areas, including compute, high speed storage, high performance networking, and software engineering teams, to name a few

• Team player with outstanding conversational & written communication, negotiation & presentation skills

Ways to stand out from the crowd:

• Skilled in architecting and deploying AI hardware and system at scale on clusters in production.

• Able to think creatively to debug and solve complex problems.

• Experience working in a globally distributed team.

• Knowledges about hyper scale data center infrastructure.

• Experiences with liquid cooling design, validation and deployment in data center.