Senior Silicon Product Definition Engineer

Nvidia•Santa Clara, CA

60d

About The Position

As one of the technology industry's most desirable employers, NVIDIA is an industry 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: Demonstrate your programming background to manage & manipulate complex datasets to assess performance, power, yield, and quality improvements for NVIDIA's family of chips and products. Partner with the internal Tools and Methodology team to further improve the data modelling infrastructure and test procedures. 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. In a dynamic, high-energy work environment, we work alongside system architects, product definition engineers, chip and board designers, software/firmware developers, HW/SW applications engineers, and operations teams to bring industry-defining products to market.

Requirements

BS or MS in EE, CE, Systems Engineering, or equivalent experience.
Minimum of 8+ years of experience in product performance and power evaluations, PnP trade-offs.
Experience in Python, Perl, and JMP
Experience with data analysis and statistics
Exposure to silicon bringup and validation, frequency and power characterization, product analysis, and optimization
Background in critical path analysis, power/performance analysis, process technologies, and transistor/device physics
Knowledge in digital design, circuit analysis, algorithms, computer architecture, silicon frequency and power, BIOS, drivers, and software applications

Nice To Haves

Good debugging and analytical skills
Demonstrated ability to stay organized and manage multiple tasks concurrently.
Excellent interpersonal skills to collaborate with cross-cultural teams and work in a matrix organization.

Responsibilities

Manage & manipulate complex datasets to assess performance, power, yield, and quality improvements for NVIDIA's family of chips and products.
Partner with the internal Tools and Methodology team to further improve the data modelling infrastructure and test procedures.
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.