Senior Product Definition Engineer

Reposted 7 Days Ago
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Santa Clara, CA, USA
In-Office
168K-311K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Product Definition Engineer will evaluate and optimize product performance, power, and yield, collaborating across teams to deliver high-performance computing solutions.
Summary Generated by Built In

As one of the technology industry's most sought-after employers, NVIDIA is a leader in high-performance computing, gaming, and AI. As part of the Silicon Solutions Team, we seek a Senior Product Definition Engineer. Our team delivers groundbreaking solutions to productize NVIDIA's chips in consumer, professional, server, mobile, and automotive markets.

What you'll be doing:

  • Understand product performance and power targets, trade-off features/configurations, and provide innovative solutions to sophisticated silicon and system-level problems.

  • Evaluate Performance, power, yield, and quality optimizations for the world’s fastest power-shipping products in the GPU and SOC market segments spanning gaming, automotive, datacenter, and DL/AI.

  • 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.

  • Lead the teams to implementing efficient time-to-market strategies.

  • Partner with the internal Tools and Methodology team to further improve the tools infrastructure and test procedure.

  • 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 creative, high-energy work environment to bring industry-defining products to market.

What we need to see:

  • BS or MS in EE, CE, CS, Systems Engineering, or equivalent experience.

  • Minimum of 8+ years of experience in product performance and power evaluations.

  • Experience with system-level features, product binning methods, optimization techniques, methods, and data analysis and statistics tools.

  • Background in critical path analysis, power/performance analysis, process technologies, and transistor/device physics.

  • Experience with silicon bringup and validation, frequency and power characterization, product analysis, and optimization.

  • Exposure to digital design, circuit analysis, computer architecture, and CPU/GPU/SOC architecture.

Ways to stand out from the crowd:

  • Strong collaborative and communication skills, specifically a demonstrated ability to effectively guide and influence within a dynamic environment

  • Strive to be a standout colleague and be ready to work with global teams from diverse cultural backgrounds in a high-energy environment.

  • A background in gaming, automotive, and data center market segments is a plus.

NVIDIA is widely regarded as one of the most desirable employers in the technology world. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 17, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

Ce
Circuit Analysis
Computer Architecture
Cpu Architecture
Cs
Digital Design
Ee
Gpu Architecture
Soc Architecture
Systems Engineering
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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