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:
8+ 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 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.
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 Required
- 8+ years of experience working on datacenter systems
- Deep understanding of server hardware architecture and design, including mechanical, power, and thermal systems
- Understanding of interaction between server architecture and at-scale datacenter deployment
- Hands-on experience solving problems spanning software and hardware
- Excellent interpersonal skills and a proven record leading multidisciplinary teams
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience
- Master's degree
- Experience with 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 and operations
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
