Senior Hardware Applications Engineer, Data Center

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

NVIDIA is seeking a Senior Hardware Applications Engineer to support enterprise datacenter products in workstation and server applications. The role involves system design reviews, resolving integration issues, understanding system design for HPC and AI workloads, customer support, and creating technical collateral. Requires BS/MS/PhD in EE/CE/SE or equivalent, 3+ years of experience in enterprise data center products, strong analytical skills, understanding of x86/ARM server architecture, and lab tool experience.

What you'd actually do

  1. Perform system design reviews for data center applications to ensure partner designs meet NVIDIA guidelines.
  2. Work on resolving system integration issues related to thermal, mechanical, electrical, PCIe and GPU interconnect interfaces including out-of-band management services.
  3. Understand system design requirements for High Performance Computing and AI workloads to drive platform configuration guides for x86 and ARM servers.
  4. Conduct the installation, configuration and bring-up of enterprise server hardware.
  5. Work directly with our NVIDIA customers, and analyze data to answer questions, reproduce errors, resolve same, or escalate customer issues.

Skills

Required

  • BS, MS, or PhD in Electrical Engineering, Computer Engineering or Systems Engineering, related field or equivalent experience.
  • 3+ years of proven experience in supporting enterprise data center products for x86 or ARM architecture.
  • strong analytical skills and past experience in reviewing enterprise system design and CPU architecture.
  • Understanding of x86 and ARM system architecture for server design including BMC, security and out-of-band management.
  • Professional-level interpersonal skills, including your ability to adjust your communication to the technical level of the audience.
  • An innate capability to accurately and succinctly communicate procedures, results, and recommendations to customers.
  • Experience with using lab tools such as oscilloscopes, multi-meters and logic analyzers and possess a nurtured knowledge of Linux, and be very comfortable working in various Linux environments as well as with Windows OS.

What the JD emphasized

  • customer enablement
  • hardware, firmware and software issues
  • enterprise datacenter products
  • High Performance Computing and AI workloads
  • customer interaction
  • hardware debug