Datacenter Partner Enablement Engineer at NVIDIA

Hillsboro, Oregon, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High Performance Computing, DatacenterIndustries

Requirements

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

AI PlatformsHPCDatacenter DesignServer DesignPower InfrastructureCooling InfrastructureProgram ManagementODM ManufacturingTechnical DocumentationIssue Resolution

Questions & Answers

Common questions about this position

What education and experience are required for this role?

A BS in Applied Science or Engineering (or equivalent experience) and 7+ years in server development or program management in datacenter environments are required.

What key technical skills are needed for the Datacenter Partner Enablement Engineer position?

Candidates need understanding of AI server tray and rack architecture, strong knowledge of server high speed signaling, electrical, power, thermal, mechanical trade-offs, familiarity with Linux OS, CLI shells, programming, scripting, and background in Diagnostic Test Software for servers.

What is the salary for this position?

This information is not specified in the job description.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What kind of work environment or company culture can I expect at NVIDIA for this role?

The role involves working in a fast-paced environment, collaborating with internal teams and industry partners like CSPs and ODMs, requiring proactive, hands-on, detail-oriented individuals who can multitask.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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