Hiring.Camp

System Architect

Nvidia

·

Yesterday

Location
Santa Clara, CA,US, US
Type
Full-time
Department
Engineering
Experience
12+ years
Education
Master
Source
Eightfold

Description

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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is looking for a Datacenter Product Architect to help define & design products for AI, high performance computing, and other datacenter markets.

What you'll be doing:

  • Drive architecture for datacenter systems considering everything from the chip to the full datacenter
  • Work with counterparts from silicon, software, networking, operations, and other teams to define & build future NVIDIA products
  • Collaborate with multi-disciplinary teams to understand customer needs, translate them into design inputs and align on consistent strategies
  • Analyze performance, power, and cost of different solutions to understand architectural tradeoffs and align design decisions
  • Work across engineering and operations teams to define and implement systems from concept through large production deployments

What we need to see:

  • 12+ years of experience working on datacenter systems
  • Deep understanding of hardware architecture and design of servers including mechanical, power, and thermal and the interaction between server architecture and at-scale datacenter deployment
  • Hands on experience with hard problems that span software and hardware
  • Excellent interpersonal skills with proven record to lead multi-disciplinary teams
  • Bachelors Degree in Computer Engineering, Computer Science, Electrical Engineering or related fields (or equivalent experience). A Masters degree is preferred

Ways to stand out from the crowd:

  • Experience with large projects involving co-development of custom processors or accelerators, systems, and software
  • Familiarity with GPU compute and NVIDIA networking
  • Understanding of manufacturing operations processes
  • Experience with cloud server deployments & operation
  • Show that you have a love of technology and are passionate about your work!

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Artificial Intelligence, Deep Learning, Autonomous Vehicles, and Robotics. We have a real passion for perfection and for building products that excite the imagination. If you share these values and have the experience and skills to participate, we would love to have you join our team.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 19, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills

Deep Learning

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