NVIDIASenior System Hardware Architect
NVIDIA is hiring a Senior System Hardware Architect. Level rates it ; you can apply on Level.
AI in this role
Lead end-to-end hardware architecture and definition for AI cluster deployments, switches, and interconnect systems.
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s motivated by phenomenal technology—and amazing people.As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Join the team and discover how you can build a lasting impact on the world.NVIDIA is looking for a hardware architecture engineer to join the hardware team! Hardware team responsible for full execution of systems, adapters and interconnect for AI cluster deployments.
What you'll be doing:
- Lead hardware next generation end-to-end definition and architecture (Switch,interconnect, adapter)
- Define form factor selection; SI, power and thermal consideration, and channel optimization (Mech/thermal/cluster layout)
- Align hardware systems and chip design teams toward unified definition
- Combine understanding of hardware end-to-end in parallel with Software aspects
- The position requires working closely with different Engineering and Operations teams
- A “Hands On” enginer who is familiar with new technologies and can take a task from scratch to completion with ease!
What we need to see:
- B.Sc. or M.Sc. degree in electronic engineering or equivalent experience
- 12+ years of board/system design related development experience
- Experience development in mass production environment
- Familiarity with optics technology
- Experience in Ethernet networks
- Familiar with new PCB/power/ASIC technologies
- Ability to take new technology into execution and lead technical task forces
- Familiar with system design tools
Ways to stand out from the crowd:
- Design for manufacturability /reliability/cost/performance High speed design :28G and above
- Experience working with key customers/vendors on strategic technologies
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're a creative manager, with a real passion for managing teams to deliver cutting-edge processors, we want to hear from you! Come, join our CPU Architecture team, and help build the real-time, cost-effective computing platform driving our success across multiple quickly growing fields ranging from the data center to autonomous vehicles.
How we rate this
Senior System Hardware Architect at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where hardware architecture was part of your work. What did you do?
- Tell me about a project where system design was part of your work. What did you do?
- Tell me about a project where ai clusters was part of your work. What did you do?
- Tell me about a project where interconnect was part of your work. What did you do?
- Tell me about a project where thermal management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Hardware Architecture, System Design, AI Clusters, Interconnect, and Thermal Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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