NVIDIA, the industry leader in AI, is looking for an Early Access Partner Enablement Engineer (EAP) to work with the world's largest cloud service providers (CSPs) and their server development partners (ODMs). This exciting opportunity will expose you to the latest and greatest innovations in artificial intelligence (AI), high performance computing (HPC), and more. If you are passionate about building and developing large-scale AI platforms with industry leaders, this is the job for you! We are looking for proactive individuals with strong engineering and program management backgrounds across multiple fields who can be hands-on, detail oriented, with the ability to multitask and work in a fast-paced environment. Are you ready to make a difference? Come and join us!
What you’ll be doing:
Help create and deploy NVIDIA’s reference AI Super Computer datacenter designs at ODM partners
Collaborate with internal server AI Product design teams on next generation projects and product roadmaps.
Understanding the CSP datacenter environment, including power and cooling infrastructure and be able provide guidance on what is required to support future NVIDIA designs.
Work with internal teams and industry partners to ensure support for the CSPs infrastructure needs.
Support CSP modification and integration questions from design through datacenter standup
Craft and develop enablement plans documentation and process to enable the ODMs to rapidly design, and manufacture new product based on NVIDIA designs.
Provide technical guidance and direction to the ODMs on current and future technologies. Ensuring that the ODMs have the technical and manufacturing capabilities to successfully produce these technologies.
Understand and resolve real time issues the ODMs may encounter during the design and manufacturing process.
Provide status updates and communicate issues internally providing recommendations as a key part of the team to help with tough trade-offs.
What we need to see:
BS in Applied Science or Engineering (or equivalent experience)
7+ years in server development or program management of server development in various datacenter environments.
Understanding of AI server tray and rack architecture, assembly, test, debug and integration into datacenters
Strong knowledge of server high speed signaling, electrical, power, thermal, mechanical trade offs
In depth understanding of the relevant datacenter industry partners, CSP, OEM, ODM component vendors.
Familiarity with the Linux operating system, CLI shells, programming, and scripting.
Background in the development or use of Diagnostic Test Software for Servers
Strong communication, verbal, and written skills while working closely with key architects and data center deployment teams to align on product requirements.
Experience in driving programs and projects across multi-functional teams and across companies.
Experience in debugging and problem solving complex system issues
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us and, due to unprecedented growth, our marketing teams are rapidly growing. If you're creative and autonomous with a real passion for you work, we want to hear from you.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 168,000 USD – 264,500 USD.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 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 in Applied Science or Engineering, or equivalent experience
- 7+ years of experience in server development or server development program management across datacenter environments
- Understanding of AI server tray and rack architecture, assembly, testing, debugging, and datacenter integration
- Strong knowledge of server high-speed signaling and electrical, power, thermal, and mechanical trade-offs
- In-depth understanding of datacenter industry partners, cloud service providers, OEMs, ODMs, and component vendors
- Familiarity with Linux, command-line shells, programming, and scripting
- Background developing or using diagnostic test software for servers
- Strong verbal and written communication skills
- Experience driving programs and projects across multifunctional teams and companies
- Experience debugging and solving complex system issues
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 — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
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Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
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Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
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.”
