NVIDIA is looking for best-in-class Physical Design Power Engineer to join our outstanding Networking Silicon Power engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput, lowest latency and best Power! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.
What you will be doing:
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Power Optimization of Physical design, of blocks/top-level/fc under challenging constraints.
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Optimization involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise fixes.
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Take part in project definition towards POR for optimized power, close interaction with BE team, FE, ARCH.
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Develop methodologies across the organization for BE related pre-to-post correlation.
What we need to see:
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B.SC./ M.SC. or equivalent experience in Electrical Engineering/Computer Engineering.
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10+ overall years of experience in physical design and/or BE power optimization aspects.
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Proven experience in RTL2GDS flows and methodologies.
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Knowledge in physical design flows and methodologies (PNR, STA, physical verification).
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Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.).
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FE design experience is an advantage.
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Post Si experience is an advantage.
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Excellent problem-solving, partnership, and interpersonal skills.
NVIDIA has some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!
Top Skills
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.”
