Role at a glance
- Job function
-
Engineering & R&D Computer Hardware Engineering
- Salary
- $224K – $356.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 12+ years of experience working on datacenter systems
- Education
- Bachelors Degree in Computer Engineering, Computer Science, Electrical Engineering or related fields (or equivalent experience). A...
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Role Summary
The Datacenter Product Architect will define and design products for AI, high performance computing, and other datacenter markets. The role drives architecture for datacenter systems from the chip through full datacenter deployments and works across engineering, software, networking, operations, and other teams.
What You'll Do
- Drive architecture for datacenter systems from the chip to the full datacenter
- Work with silicon, software, networking, operations, and other teams to define and build future products
- Translate customer needs into design inputs and align on consistent strategies
- Analyze performance, power, and cost to evaluate architectural tradeoffs
- Define and implement systems from concept through large production deployments
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Deep understanding of hardware architecture and server design, including mechanical, power, and thermal considerations; hands-on experience with problems spanning software and hardware; excellent interpersonal skills with a proven record leading multi-disciplinary teams.
Required
- Datacenter systems
- Hardware architecture and design of servers
- Mechanical, power, and thermal systems
- Software and hardware integration
- Leadership of multi-disciplinary teams
Preferred
- Co-development of custom processors or accelerators, systems, and software
- GPU compute and NVIDIA networking
- Manufacturing operations processes
- Cloud server deployments and operation
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
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.
About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.