The candidate must have a recently earned BS/MS (or equivalent experience) or PhD in related fields, with 2+ years of experience. They should have a strong understanding of energy consumption, data movement, and low power design, as well as familiarity with Verilog, ASIC design principles, and Power Artist/PTPX tools. Strong coding/automation skills in Python, Perl, and C++ are required, along with a desire to utilize data-driven decision-making to improve products.

The Power Optimization and Analysis Engineer at NVIDIA will leverage internal and industry-standard tools to improve product power efficiency, conduct comparative power analysis, collaborate with architects and designers to identify power bugs, and prototype architectural features for power analysis.

Data

United States

Austin

San Francisco

Large

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Manufacturing & Electronics

NVIDIA

<ul><li>We are now looking for a Power Optimization and Analysis Engineer – New College Grad! NVIDIA prides in having energy efficient products. We believe in continuing to maintain our products' energy efficiency compared to competition is key to our continued success.</li><li>Our team is responsible for analyzing fullchip and unit-level power data and driving ASIC teams to improve their units’ power efficiency; and is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient. Key responsibilities include developing techniques to model, analyze, and reduce power consumption of NVIDIA GPUs. <span style="background-color: transparent;">As a member of the Power Optimization and Analysis Team</span>, you will collaborate with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to study and implement power analysis and reduction techniques for NVIDIA's next generation GPUs and Tegra SOCs. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.</li></ul>

Bachelors

Masters

We are now looking for a Power Optimization and Analysis Engineer – New College Grad! NVIDIA prides in having energy efficient products. We believe in continuing to maintain our products' energy efficiency compared to competition is key to our continued success.Our team is responsible for analyzing fullchip and unit-level power data and driving ASIC teams to improve their units’ power efficiency; and is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient. Key responsibilities include developing techniques to model, analyze, and reduce power consumption of NVIDIA GPUs. As a member of the Power Optimization and Analysis Team, you will collaborate with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to study and implement power analysis and reduction techniques for NVIDIA's next generation GPUs and Tegra SOCs. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.

Power Optimization and Analysis Engineer – New College Grad

Requirements

Responsibilities

NVIDIA

Mission & Purpose