Datacenter Product Architect
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job 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
Requirements
- 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!
Benefits & conditions
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.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Stephan Gillich - Bringing AI Everywhere
7 Cloud Computing Trends Coming in 2025 for Developers
Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud
Highest Paying Tech Companies for Developers