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Power Architect - New College Grad 2024
Power Architect - New College Grad 2024-May 2024
Santa Clara
May 3, 2026
ABOUT NVIDIA
NVIDIA is a computing platform company, innovating at the intersection of graphics, HPC, and AI.
10,000+ employees
Technology
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About Power Architect - New College Grad 2024

  NVIDIA is a world leader in providing highly energy efficient products and we continue rapidly growing the research and development of energy-efficient GPU and SOC architectures. We are continually innovating in creative and unrivaled ways to improve our ability to deliver exceptional perf/watt solutions in a wide range of sectors. Come join NVIDIAs Applied Power Architecture team to develop state of the art GPUs to power AI, Automotive, GeForce, and Mobile products.

  We are now looking for a Power Architect - New College Grad.

  What you'll be doing:

  You will be working on architecting GPU power features and system level power management solutions for NVIDIA products.

  Collaborate closely with other Architects, Software Engineers, ASIC Design Engineers, and Product teams to study, devise and implement the power management strategy for NVIDIA's GPU roadmap.

  Research and develop solutions to address complex energy efficiency problems for various GPU use-cases such as: Deep Learning training, ADAS, Gaming, Video Playback, and Idle.

  Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs and platforms.

  What we need to see:

  Pursuing a BS in EE or CE, preferably MSEE/MSCE with course work/projects covering digital circuits, computer architecture and VLSI design or equivalent experience.

  Knowledge of performance simulators/monitors and Low Power architectures/techniques a plus.

  Working knowledge of Python, and frameworks/packages like: TensorFlow, Pandas, NumPy, PyTorch a plus.

  Exposure to industry standard tools/flows such as , Design Compiler, PTPX, and Power Artist etc a huge plus.

  Experience with lab setup and measurement using equipment such as scope/DAQ is helpful.

  Ways to stand out from the crowd:

  A master’s degree/internship with a focus/projects in Low Power Architecture, power modeling, and deep learning is a plus!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 entire new verticals 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. Are you creative and autonomous? Are you searching for new ways to get the best performance silicon out of the lowest amount of power? If so, we want to hear from you.

  The base salary range is 92,000 USD - 172,500 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 (https://www.nvidia.com/en-us/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.

  NVIDIA is a Learning Machine

  NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

  Learn more about NVIDIA .

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