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NVIDIA

Designs the chips and software that power AI

Hardware Systems Application Engineer - Cloud Scale Providers

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
  • At least 5 years of experience in system-level design and integration of server products from concept through deployment.
  • Solid understanding of x86 server architecture, PCIe, DDR, InfiniBand, and high-speed interconnects.
  • Basic understanding of BMC architecture, I2C (SMBus), power management, and system telemetry controls.
  • Familiarity with Linux operating systems and command-line experience.
  • Knowledge of PCIe Gen5 and Gen6 technical interface challenges.
  • Strong analytical and problem-solving skills, time-management and organizational skills, and the ability to manage multiple complex initiatives in dynamic environments.
  • Excellent verbal and written communication and technical presentation skills in English.

Responsibilities

  • Collaborate with major cloud service providers, their OEMs/ODMs, and internal teams to help deploy the latest NVIDIA AI racks.
  • Work with domain expert teams to ensure customer solutions are optimized for high-performance servers.
  • Solve deep server system technical issues at the hardware, software, and application levels to ensure customer success and time to market.
  • Act as the central point of contact between cloud service provider customers and architecture teams to develop future GPU-accelerated data center architectures and roadmaps.
  • Travel up to 30%.

Desired Qualifications

  • In-depth understanding of CPU, GPU, networking, and architectural tradeoffs.

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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