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, High-Performance Computing, Gaming, AI, AutomotiveIndustries

Requirements

BS (or equivalent experience) with 8+ years or MS with 6+ years experience in EE, CE, CS, Systems Engineering, or similar and experience in a related hardware engineering position
Excellent problem-solving, collaborative, and interpersonal skills. Experience working with offshore teams preferred
Hands-on experience with silicon bringup, frequency and power characterization, Tester System correlation, and lab tools (oscilloscopes, multimeters, DAQ)
Deep understanding of product binning methods, optimization techniques, methods, trade-off analysis, and tools for data analysis and statistics
Exposure to critical path analysis, power analysis, process technologies, transistor/device physics, silicon reliability, and aging mechanisms
Familiarity with Perl, C/C++, tool and script development, Windows and Linux OS is a plus
Background with power supply and substrate noise analysis and mitigation
Exposure to digital design, circuit analysis, computer architecture, BIOS, drivers, and software applications

Responsibilities

Analyze pre-production silicon in innovative process technologies for performance, power, yield, and quality to define groundbreaking products as a product definition engineer for NVIDIA's family of chips and products
Architect crucial next-generation product features vital for performance, power optimization, and management techniques from feature definition to production, working with multi-functional teams
Design tools to automate product definitions, binning, data collection, test case execution, and results analysis
Build pre and post-silicon methodologies to characterize silicon features, correlate silicon behavior with simulations, and provide design feedback
Find creative solutions to sophisticated silicon and system-level problems and be on the frontline to lead show-stopper bugs to enable product shipment
Work alongside system architects, chip and board designers, software/firmware engineers, HW/SW applications engineering, process/reliability specialists, ATE engineers, product managers, sales, and operations in a multifaceted, high-energy work environment to bring industry-defining products to market

Skills

Silicon Analysis

Performance Optimization

Power Optimization

Yield Analysis

Product Definition

Binning

Automation Tools

Pre-Silicon Validation

Post-Silicon Validation

Silicon Characterization

ATE

Process Technology

Systems Engineering

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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