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 datamodelling infrastructureand 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.
What we need to see:
BS or MS in EE, CE, Systems Engineering, or equivalent experience.
Minimumof 5+ yearsof experience in product performance and powerevaluations, PnPtrade-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
Knowledge 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
Ways to stand out from the crowd:
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.