We are looking for a Senior GPU Low Power Architect within our Hardware Team! NVIDIA is known as a world leader in providing energy-efficient high-performance products, and we continue to invest in the research and development of hyper-efficient GPU and SOC architectures that power AI, Automotive, Graphics, and Mobile products. Widely considered to be one of the technology world’s most desirable employers, you will interact with world class engineers on the cutting edge of emerging GPU and AI technologies.
Come Join NVIDIA's Low Power Architecture/ASIC team where we are continually innovating in creative and unrivaled ways to improve energy efficiency and deliver exceptional Performance/Watt solutions in a wide range of sectors and verticals.
What you'll be doing:
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Invent and innovate low power architectural/RTL solutions and drive features and roadmaps for improving efficiency of our Desktop, Notebook and server platforms.
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You'll work cross functionally with other System/SW Architects, and Product engineers to understand energy efficiency improvements.
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Architect, Design and Verify features to help improve battery life and energy efficiency.
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Participate in architectural studies, tradeoff analysis, micro-architecture, and design, planning, verification, and validation efforts.
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Contribute to the development of techniques to develop highly accurate power and performance models for our GPUs, CPUs, Switches, and platforms.
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Drive performance vs power analysis to enable management/marketing with meaningful product decisions and customer interaction.
What we need to see:
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MSEE/MSCE (or equivalent experience) and 4 + years’ proven experience or PhD, with a specialization in Low Power Architectures or energy efficient design techniques is essential.
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Design experience with industry tools such as SystemVerilog RTL, UVM, Verdi, UPF, VCS NLP, Python, C++ are essential.
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Cross-discipline experience with understanding of HW/SW/System level interactions in important power efficiency scenarios.
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Solid understanding of advanced digital and analog circuits is highly desirable.
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Exposure to lab setup including power measurement equipment such as scope/DAQ. Your ability to analyze board-level power issues like supply voltage, over-current etc is helpful.
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Strong interpersonal and organizational skills and the ability & desire to work as a phenomenal teammate
Ways to stand out from the crowd:
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Background with HW/SW interactions
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Experience with Power what iffs and tradeoffs
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Experience in Clock tree power reduction and CG strategies.
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Background with RAM power optimization.
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Experience with directed and random functional testing including writing test plans and directed or random diagnostics.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people in multiple disciplines to help us accelerate the next wave of artificial intelligence, in Software, Hardware, Research and more. If you are creative and talented, we want to hear from you.
The base salary range is 128,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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.
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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.”
