Senior Datacenter System Product Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Semiconductor, DatacenterIndustries

Requirements

Proficient in identifying and resolving challenges effectively
Extraordinary communication capabilities
Desire to absorb NVIDIA's culture and drive towards excellence in all activities
Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical field (or equivalent experience). Advanced degree or equivalent experience preferred
8+ years of extensive experience in systems engineering, preferably within the data center or semiconductor industry
Strong understanding of L6, L10, L11, and L12 rack integration levels and successful track record launching products at all levels
Proven track record to debug sophisticated technical issues and implement effective solutions in a manufacturing environment
Excellent communication skills, with the ability to collaborate effectively with multi-functional teams and external partners
Proficiency in networking topologies, setup, and testing high speed networks commonly used in data center environments
Capability to frequently travel onsite to various ODM locations in North America and Asia

Responsibilities

Collaborate with diverse teams, both internal and external to develop and optimize datacenter product solutions from architecture and design to mass production
Act as the primary technical support for L10/L11 rack-level integration for our Manufacturing partners (ODMs) responsible for next-generation data center products
Collaborate closely with ODM partners to streamline and optimize rack-level integration processes, ensuring efficient and reliable manufacturing enablement for both our customers and our internal datacenter builds
Conduct detailed debugging and solving of any integration issues, providing timely resolutions to support ODM manufacturing test flows
Address factory issues promptly, with the goal of improving the production line for rack-level integration and improving overall operational efficiency
Provide L11 customer quality support, addressing any concerns or issues related to product integration and ensuring customer satisfaction
Work with engineering design teams to ensure seamless integration of any changes or corrective actions necessary to support the production of quality products
Offer direct feedback into the manufacturing process, supplying insights and recommendations for continuous improvement and optimization

Skills

Datacenter Systems

Rack-Level Integration

ODM Manufacturing

Product Architecture

Debugging

Systems Engineering

Post-Silicon Development

Rack-Scale Deployment

GPU Integration

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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