Senior Silicon Product Definition 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

Semiconductors, AI, Gaming, High-Performance ComputingIndustries

Requirements

BS or MS in EE, CE, Systems Engineering, or equivalent experience
Minimum of 5+ years of experience in product performance and power evaluations, PnP trade-offs
Experience in Python, Perl, and JMP
Experience with data analysis and statistics
Exposure to silicon bringup and validation, frequency and power characterization, product analysis, and optimization
Knowledge in critical path analysis, power/performance analysis, process technologies, and transistor/device physics
Knowledge in digital design, circuit analysis, algorithms, computer architecture, silicon frequency and power, BIOS, drivers, and software applications
Ways to stand out
Good debugging and analytical skills
Demonstrated ability to stay organized and manage multiple tasks concurrently
Excellent interpersonal skills to collaborate with cross-cultural teams and work in a matrix organization

Responsibilities

Demonstrate programming background to manage & manipulate complex datasets to assess performance, power, yield, and quality improvements for NVIDIA's family of chips and products
Partner with the internal Tools and Methodology team to further improve the data modelling infrastructure and test procedures
Identify performance and power-limiting constraints and drive product-specific customizations
Collaborate with multi-functional teams to drive silicon and system product features to production

Skills

Python

Perl

JMP

data analysis

statistics

silicon bringup

validation

frequency characterization

power characterization

critical path analysis

power/performance analysis

process technologies

transistor physics

digital design

circuit analysis

computer architecture

BIOS

drivers

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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