NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. NVIDIAns are immersed in a diverse, supportive environment where everyone is inspired to do their best work. This is your opportunity to make a lasting impact on the world!

We are looking for a highly motivated Principal Hardware System Architect with experience in architecting and deploying GPU hardware and systems at scale on clusters in production. As part of the Architecture organization, we work with the most sophisticated computing hardware and software, driving the latest breakthroughs in deep learning and machine learning with NVIDIA’s enterprise and data center customers. This role offers an excellent opportunity to build your career in the rapidly growing field of deep learning while enabling the world's most successful technology companies. We encourage you to join us in this innovative endeavor!

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 driving Architecture/Hardware/Verification/Software/Application co-design collaboration and execution.

• 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.

• 12+ 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 from initial definition throughout the project cycle

• 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 mechanical, electrical, firmware, networking, and software engineering teams, to name a few

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

• Liquid cooling background or exposure to programs with liquid cooling

• Data Center infrastructure experience

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 and 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.

• Hyper-scaler Data Center experience and relationship

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.

NVIDIA is a Learning Machine

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

Learn more about NVIDIA .