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NVIDIA

Designs the chips and software that power AI

Datacenter Product Architect

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 8 years of experience working on datacenter systems.
  • Deep understanding of hardware architecture and server design, including mechanical, power, and thermal considerations, and how server architecture interacts with at-scale datacenter deployment.
  • Hands-on experience addressing complex problems spanning software and hardware.
  • A bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience.

Responsibilities

  • Drive architecture for datacenter systems, from the chip to the full datacenter.
  • Work with counterparts from silicon, software, networking, operations, and other teams to define and build future products.
  • Collaborate with multidisciplinary teams to understand customer needs, translate them into design inputs, and align on consistent strategies.
  • Analyze the 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.

Desired Qualifications

  • A master's degree.
  • Experience with large projects involving co-development of custom processors or accelerators, systems, and software.
  • Familiarity with GPU computing and NVIDIA networking.
  • Understanding of manufacturing operations processes.
  • Experience with cloud server deployments and operations.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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