Datacenter Partner Enablement Engineer at NVIDIA

Hillsboro, Oregon, United States

NVIDIA Logo
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

AI Platforms
HPC
Datacenter Design
Server Design
Power Infrastructure
Cooling Infrastructure
Program Management
ODM Manufacturing
Technical Documentation
Issue Resolution

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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