Senior Hardware Application Engineer

Posted Yesterday
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Santa Clara, CA, USA
In-Office
136K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Provides technical enablement and onsite/offsite support for NVIDIA enterprise datacenter hardware. Collaborates with OEM customers through design, validation, production, bring-up, and debugging; reviews server architecture, thermal, mechanical, electrical, schematic, layout, and signal-integrity designs; resolves hardware, firmware, software, PCIe, GPU interconnect, and management issues; develops design guides and technical collateral; and tracks and reproduces bugs.
Summary Generated by Built In

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 more of these rare opportunities in GPU applications in enterprise solution space.
We are now looking for an Applications Engineer with the ability to focus on customer enablement of enterprise products in a datacenter environment. We seek an expert who is familiar with datacenter hardware design, out-of-band telemetry, diagnostics and cluster management best practices established in the industry. In this role, you will work with enterprise OEM partners to resolve hardware, firmware and software issues, and provide both offsite and onsite support. In this role, you will also work with internal teams to generate hardware design collateral to enable successful customer designs using NVIDIA datacenter products. 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 can understand, explain, and solve customer problems. Must be able to travel to partner sites for onsite support. This position will focus on NVIDIA enterprise datacenter products in workstation and server applications.

What you’ll be doing:

  • Collaborate with OEM customers through their design, validation and production flows. Provide onsite support for bring-up and debug of OEM server hardware.

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

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

  • Review customer designs with respect to architecture proposals, thermal, mechanical, schematic, layout, signal integrity, etc. and provide feedback.

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

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

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

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

  • This position involves local and international travel for on-site support.

  • 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.

  • 5+ years relevant experience in supporting enterprise datacenter products for x86 or ARM architecture.

  • Experience using Cadence Allegro Schematic Design Entry (Concept HDL) design tools and Allegro PCB Layout.

  • Experience with using lab tools such as oscilloscope, multi-meters and logic analyzers.

  • Background in power integrity concepts, signal integrity principles, and high-speed board design methodologies.

  • Experience working with internal cross-functional teams for successful delivery of design collateral.

  • Previous experience of working as an application engineer or any equivalent customer interacting role (i.e. ability to handle customers) is a plus.

  • Have strong analytical skills and past experience in reviewing enterprise system design.

  • 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. Must possess excellent written and verbal communication skills.

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 - 218,500 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 September 14, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Skills Required

  • Bachelor’s degree or higher in Electrical Engineering, Computer Engineering, Systems Engineering, or equivalent experience
  • 5+ years of relevant experience supporting enterprise datacenter products for x86 or ARM architectures
  • Experience using Cadence Allegro Schematic Design Entry (Concept HDL) and Allegro PCB Layout
  • Experience using oscilloscopes, multimeters, and logic analyzers
  • Knowledge of power integrity, signal integrity, and high-speed board design methodologies
  • Experience working with internal cross-functional teams to deliver design collateral
  • Experience as an application engineer or in an equivalent customer-interacting role
  • Strong analytical skills and experience reviewing enterprise system designs
  • Understanding of x86 and ARM server system architecture, including BMC, security, and out-of-band management
  • Professional interpersonal, written, and verbal communication skills
  • Ability to travel to partner sites for onsite support

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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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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