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Datacenter Product Architect

$168k - $258.75k

NVIDIA

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 datacenterWork with counterparts from silicon, software, networking, operations, and other teams to define & build future NVIDIA productsCollaborate with multi-disciplinary teams to understand customer needs, translate them into design inputs and align on consistent strategiesAnalyze performance, power, and cost of different solutions to understand architectural tradeoffs and align design decisionsWork across engineering and operations teams to define and implement systems from concept through large production deploymentsWhat we need to see:8+ years of experience working on datacenter systemsDeep understanding of hardware architecture and design of servers including mechanical, power, and thermal and the interaction between server architecture and at-scale datacenter deploymentHands on experience with hard problems that span software and hardwareExcellent interpersonal skills with proven record to lead multi-disciplinary teamsBachelors Degree in Computer Engineering, Computer Science, Electrical Engineering or related fields (or equivalent experience). A Masters degree is preferredWays to stand out from the crowd:Experience with large projects involving co-development of custom processors or accelerators, systems, and softwareFamiliarity with GPU compute and NVIDIA networkingUnderstanding of manufacturing operations processesExperience with cloud server deployments & operationShow 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 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.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.SummaryLocation: US, CA, Santa ClaraType: Full time

Vacancy posted 3 hours ago
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