Datacenter Hardware Applications Engineer

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Santa Clara, CA
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

NVIDIA's deep learning platform has already made a major impact to the field and is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need hardworking and creative people to help us dive into these exceptional opportunities in GPU application in the enterprise solution space.

We are now looking for an expert Hardware Applications Engineer with the ability to focus on customer enablement of datacenter products, work with customers and internal teams to resolve hardware, firmware and software issues, and provide key technical collateral. This is a highly technical engineering role that is responsible for providing best-in-class support to NVIDIA's enterprise customers. We are looking for someone who has superb interpersonal skills and who can understand, explain, and solve customer problems. This position will focus on NVIDIA enterprise datacenter products in workstation and server applications.

What you'll be doing:

  • Perform system design reviews for data center applications to ensure partner designs meet NVIDIA guidelines.

  • Work on resolving system integration issues related to thermal, mechanical, electrical, PCIe and GPU interconnect interfaces including out-of-band management services.

  • Understand system design requirements for High Performance Computing and AI workloads to drive platform configuration guides for x86 and ARM servers.

  • Conduct the installation, configuration and bring-up of enterprise server hardware.

  • Work directly with our NVIDIA customers, and analyze data to answer questions, reproduce errors, resolve same, or escalate customer issues.

  • Be involved in customer interaction, customer communication via conference calls or face to face meetings

  • Familiarize yourself with performing hardware debug using oscilloscopes and analyzers to qualify, validate and solve NVIDIA products for customer systems.

  • Track and file new bugs, and reproduce issues as needed.

  • Create product specifications, hardware design guides, application notes, and other supporting technical collateral.

What we need to see:

  • BS or higher in EE, CE or Systems Engineering or equivalent experience.

  • 4+ years of relevant experience in supporting enterprise datacenter products for x86 and/or ARM architecture.

  • Have 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.

  • Possess a nurtured knowledge of Linux, and be very comfortable working in various Linux environments as well as with Windows OS.

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 creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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