- 8+ years of experience working in complex product systems
- Understanding of how to design high speed multi-layer product boards
- Deep understanding of hardware architectures and server builds, including mechanical, power, and thermal aspects, and their interaction with at-scale datacenter deployment
- Hands-on experience solving challenging problems that span both software and hardware
- Excellent interpersonal skills with a proven ability to lead multi-discipline teams
- Positive and dogged mindset to tackle complicated issues and a constant desire to learn and to teach
- Bachelor's Degree in Computer Engineering, Computer Science, Electrical Engineering, or related fields, or equivalent experience. An MS degree or comparable experience is preferred
Ways to stand out from the crowd
- Experience with large projects involving the co-development of custom processors or accelerators, systems, and software
- Familiarity with GPU compute and NVIDIA networking
- Understanding of manufacturing operations processes
- Experience with datacenter and cloud server deployment operations
- Demonstrated passion for technology and a love for your work
NVIDIA is known as one of the most appealing employers within the technology industry. Our team is composed of some of the most creative and hardworking experts around the globe. If you are motivated, self-reliant, and energized by challenges, we want to hear from you. Become a member of our Data Center System Architecture team and contribute to developing the groundwork for future computing technologies. Your experience will help us continue our legacy of innovation and accomplishment!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 168,000 USD – 258,750 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.