Senior Silicon Product Definition Engineer

NVIDIA has transformed computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we're defining the next era of computing, where GPUs power the computers, robots, and autonomous vehicles that understand the world. NVIDIA's Silicon Co-Design Group (SCG) gets every GPU, SoC, and CPU program from first power-on to high-volume production. We sit at the crossroads of architecture, design, marketing, operations, and productization, serving Datacenter, Server, Gaming, Robotics, Automotive, and Embedded markets.
We are hiring a Senior Silicon Product Definition Engineer to turn complex silicon and system data into decisions that maximize performance, power efficiency, yield, and quality. You will define product configurations, identify limiting constraints, and drive optimization from early bring-up through production. This is not a pure data-analysis or validation-only role—you will connect silicon behavior, platform requirements, market needs, and manufacturing realities to determine how products are productized. The exceptional hire uses AI deliberately to compress analysis and debug cycles.
What you'll be doing:
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 on Power, Thermal, Performance, Yield and Quality gaps.
What we need to see:
BS or MS in Electrical Engineering, Electronics Engineering, 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, 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.
Ways to stand out from the crowd:
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.
With competitive salaries and a generous benefits package, NVIDIA is widely considered one of the world's most desirable technology employers. We welcome you to join our team and help define the next era of accelerated computing.
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