Senior Silicon Product Definition Engineer

Overview

Senior Silicon Product Definition Engineer on NVIDIA's Silicon Co-Design Group, turning silicon and system data into decisions that maximize performance, power efficiency, yield, and quality from bring-up through production.

What you'll do

• Own product-definition analysis across performance, power, yield, and quality, using large silicon datasets to identify product opportunities, risks, and trade-offs.
• Drive product-specific configurations by isolating frequency-, power-, and thermal-limiting constraints and translating findings into silicon, firmware, BIOS, driver, and platform changes.
• Build statistical models, automation, and visualization workflows that improve decision quality.
• Partner with Tools and Methodology teams to left-shift data modeling, test procedures, and closed-loop analysis infrastructure from post-silicon learning into future programs.
• Lead multi-functional root-cause closure with architecture, design, validation, software/firmware, applications engineering, manufacturing, and operations teams from bring-up through production.
• Evaluate performance-per-watt, process-voltage-temperature behavior, yield, and quality trade-offs, and drive productized fixes through implementation and confirmation.
• Translate complex silicon and system signals into crisp, decision-ready options that give executive leadership clarity on product configuration, performance targets, and program-impacting risks.
• Own and deliver BIOS-level VF settings across thermal, power, and frequency domains, debugging issues and driving fixes through cross-functional teams to close Power, Thermal, Performance, Yield, and Quality gaps.

What you'll need

• BS or MS in Electrical Engineering, Electronics Engineering, or Systems Engineering.
• 5+ years of experience in silicon product definition, post-silicon characterization, product engineering, or performance and power analysis for GPU, CPU, SoC, or other complex silicon products.
• Hands-on experience with silicon bring-up, performance-per-watt analysis, and optimization across process, voltage, and temperature conditions.
• Strong programming and data-analysis skills using Python and one or more of Perl, JMP, SQL, or equivalent tools, with practical knowledge of statistics and large-dataset manipulation.
• Strong technical foundation in digital design, circuit analysis, computer architecture, critical-path analysis, process technology, and transistor/device physics.
• Working knowledge of the system stack, including firmware, BIOS, drivers, operating-system behavior, and software applications that influence silicon performance and power.
• Demonstrated ability to drive ambiguous technical issues to root-cause closure across globally distributed, multi-functional teams.
• Strong written and verbal communication; able to translate complex technical issues into crisp, decision-ready options for executive leadership.

Nice to have

• Track record of defining and shipping product configurations that measurably 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 silicon programs.
• Proficiency with AI productivity tools such as Claude, Copilot, ChatGPT, or equivalent to accelerate analysis, debug, drafting, and decision-making workflows, with clear outcomes and appropriate guardrails.
• Comfort navigating ambiguity, building technical structure in speed-of-light silicon programs, and collaborating with global teams from diverse cultural backgrounds.

Details

• Location: Bengaluru, India.
• Work mode: Hybrid (#LI-Hybrid).