Senior Product Development Engineer - Data Center at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Datacenter, Automotive, Embedded Systems, SemiconductorsIndustries

Requirements

Master's degree in Electrical Engineering or equivalent experience
4+ years of relevant experience
Critical thinking, solution focused
Experience with ASIC mixed-signal design, characterization and qualification
Knowledgeable in DFT and device physics
Proficient in statistical modelling of data using JMP software or other statistical tools
Excellent interpersonal skills, cross-functionally and between companies
Enthusiasm and real passion for the industry
Ways to stand out (Preferred)
Experience with advanced packaging technologies (COWOS)
Background with High-Speed IO interfaces
Examples of statistical data driven problem solving
Previous scripting/programming knowledge (Python, Perl, etc)
Hands-on experience with Verigy 93K tester/JMP

Responsibilities

Drive our latest architecture designs to market
Identify and implement test processes to improve manufacturing efficiency for our latest Tegra/CPU/Automotive architectures, built in leading-edge process technology
Analyze product yield limiters, drive failures on Automatic Test Equipment (ATE) (Wafer and package level)
Lead multi-functional efforts with design, foundry, quality, test and suppliers to root-cause problems and implement improvements
Influence future ASIC designs to improve test coverage and enable better product yield, test time, silicon bring-up and releases
Work on bring up and characterization of complex packages and High Speed IO interfaces

Skills

ASIC

Mixed-Signal Design

DFT

JMP

ATE

SOC

Tegra

Device Physics

Statistical Modeling

High-Speed IO

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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