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Santa Clara, California, United States · On-site
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Develop and correlate advanced power models to estimate chip and board power for GPUs and SOCs. Collaborate with cross-functional teams to optimize power/performance and improve Performance/Watt metrics.
Requires a B.Tech/M.Tech with 2+ years of experience in power/performance estimation and strong fundamentals in VLSI circuits. Proficiency in Python and familiarity with low power design techniques like DVFS and clock gating are essential.
NVIDIA is seeking a passionate, creative, and highly motivated engineer to work on architectural power estimation for the world’s leading GPUs and SOCs. In this position, the responsibility includes development of advanced power models to estimate chip and board power under product driven use cases. You are expected to understand the high-level chip architecture, application use-cases, low power design techniques, process technology aspects which impact dynamic and leakage power, develop the estimation infrastructure, estimate power consumption under various scenarios. You will be working with architecture, design, synthesis, timing, circuit, and post silicon teams to accomplish your tasks.
This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform the way graphics are used to solve some of the most complex problems in computer science. The GPU started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is increasingly known as “the AI computing company.”
Architecture, development and correlation of power estimation models/tools for NVIDIA's chips
Help architect and develop power models for use-cases, Idle power and IO power.
Chip in to design the tools based on these models and their testing methodology/infrastructures
Correlate and Calibrate the power models using measured silicon data
Analyze and help decide the chip configuration and process technology options to optimize power/performance for Nvidia's upcoming chips
Help study and contribute to Performance/Watt improvement ideas for Nvidia's GPUs and SOCs
B.Tech./M.Tech and 2+ years of experience related to Power / Performance estimation and optimization techniques
Strong fundamentals in power including transistor-level leakage/dynamic characteristics of VLSI circuits
Familiarity with low power design techniques such as multi VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS)
Strong background in power estimation techniques, flows and algorithms
Good programming skills - Python preferred. Good skills with object-oriented programming and design.
Exposure to lab setup including power measurement equipment such as scope/DAQ with ability to analyze board level power issues is a plus
Exposure to power analysis EDA tools such as PTPX/EPS
Good communication skills & desire to work as a great teammate
With competitive salaries and a generous benefits package, Nvidia is widely considered to be one of the most desirable employers in the world. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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.
Offices: 2701 San Tomas Expressway, Santa Clara, CA 95050, US · No. 8, Ji Hu Rd., Taipei City, Taipei City 114, TW · Nanakramguda, Serilingampally Mandal, Plot # 6A&B, IT Park Layout, RR District, Hyderabad, Telangana 500046, IN · No. 127 Andheri Kurla Road, CNB Square, Mumbai, Village Chakala, Andheri East 400 093, IN · Survey No. 144/145, Samrat Ashok Path, Off Airport Road, Pune, Yerwada 411 006, IN
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.
Offices: 2701 San Tomas Expressway, Santa Clara, CA 95050, US · No. 8, Ji Hu Rd., Taipei City, Taipei City 114, TW · Nanakramguda, Serilingampally Mandal, Plot # 6A&B, IT Park Layout, RR District, Hyderabad, Telangana 500046, IN · No. 127 Andheri Kurla Road, CNB Square, Mumbai, Village Chakala, Andheri East 400 093, IN · Survey No. 144/145, Samrat Ashok Path, Off Airport Road, Pune, Yerwada 411 006, IN
