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 and create product specifications, hardware design guides, application notes, and other supporting technical collateral.
What we need to see:
Pursuing or recently completed a BS, MS, or PhD in Electrical Engineering, Computer Engineering or Systems Engineering, related field or equivalent experience.
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 and 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 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.Skills Required
- Pursuing or recently completed a BS, MS, or PhD in Electrical Engineering, Computer Engineering or Systems Engineering
- Strong analytical skills in reviewing enterprise system design and CPU architecture
- Understanding of x86 and ARM system architecture for server design
- Professional-level interpersonal skills to adjust communication for technical audiences
- Experience with lab tools like oscilloscopes and multi-meters
- Knowledge of Linux and comfort in various Linux environments
- Experience with Windows OS
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.
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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.
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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.
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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.
NVIDIA Insights
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.”
