Senior Silicon Product Definition Engineer

Job Title

Senior Silicon Product Definition Engineer

Role Summary

Work in NVIDIA's Silicon Co-Design Group (SCG) to convert silicon and system data into product decisions that optimize performance, power, yield, and quality. Drive product configurations and optimizations from early bring-up through production by aligning silicon behavior, platform requirements, manufacturing realities, and market needs.

Use data, statistical models, automation, and AI-assisted tools to accelerate analysis and root-cause resolution.

Experience Level

Senior; typically requires 5+ years of experience in silicon product definition, post-silicon characterization, product engineering, or performance and power analysis.

Responsibilities

Primary responsibilities include analysis, cross-functional leadership, and delivering productized fixes.

• Own product-definition analysis across performance, power, yield, and quality using large silicon datasets.
• Identify frequency, power, and thermal limiting constraints and translate findings into silicon, firmware, BIOS, driver, and platform changes.
• Build statistical models, automation, and visualization workflows to improve decision quality.
• Partner with Tools and Methodology teams to shift data modeling and test procedures left into future programs.
• Lead multi-functional root-cause closure with architecture, design, validation, software/firmware, applications engineering, manufacturing, and operations from bring-up through production.
• Evaluate performance-per-watt, PVT behavior, yield, and quality trade-offs and drive implementation and confirmation of fixes.
• Translate complex silicon and system signals into concise, decision-ready options for executive leadership.
• Own and deliver BIOS-level VF settings across thermal, power, and frequency domains and drive cross-functional fixes to close gaps.

Requirements

Must-have technical skills and experience.

• 5+ years in silicon product definition, post-silicon characterization, product engineering, or performance/power analysis for GPU, CPU, SoC, or similar complex silicon.
• Hands-on silicon bring-up experience and performance-per-watt analysis across process, voltage, and temperature conditions.
• Strong programming and data-analysis skills with Python and one or more of Perl, JMP, SQL, or equivalent; practical knowledge of statistics and large-dataset manipulation.
• Strong technical foundation in digital design, circuit analysis, computer architecture, critical-path analysis, process technology, and device/transistor physics.
• Working knowledge of firmware, BIOS, drivers, OS behavior, and software applications that influence silicon performance and power.
• Proven ability to drive ambiguous technical issues to root-cause closure across globally distributed, multi-functional teams.
• Strong written and verbal communication; able to present concise, decision-ready options to executives.

Nice-to-have:

• Track record of shipping product configurations that improved performance, power efficiency, yield, quality, or time-to-market.
• Experience with advanced process nodes and high-complexity GPU, CPU, AI accelerator, automotive, or datacenter products.
• Experience building reusable product-definition methodologies, statistical models, or automation adopted across multiple programs.
• Proficiency with AI productivity tools (e.g., Claude, Copilot, ChatGPT) to accelerate analysis and debugging with appropriate guardrails.

Education Requirements

BS or MS in Electrical Engineering, Electronics Engineering, or Systems Engineering.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.