NVIDIA is hiring a Custom Platform Power Verification Engineer to analyze, verify, and validate next generation SoC and GPU power solutions. We are looking for special individuals with passion and desire to deliver innovative products. Together, we will build the next generation of life changing SoC's. If you are a motivated individual that understands how power delivery and management systems are architected and built, has intimate knowledge of client requirements, and understand various development cycles, this is your place to be
What you'll be doing:
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Work with Architects, and Designers on IP/SOC power projections, power verification, methodology alignment, max temp and power mitigations and solutions to ensure pre-silicon and post silicon power compliance.
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Verify and optimize power dissipation and delivery across technical, product, and usage constraints for Nvidia SoCs in AI, automotive, 5G, cloud, networking, robotics, gaming and other applications.
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Verify power rollup and power management solutions.
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Partner across teams on use cases analysis.
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Work on power delivery and optimization solutions from system level to components and circuits.
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Guide HW Design teams to improve their power management solutions and power efficiency of implementations.
What We Need To See:
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Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience)
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5+ years of relevant work experience focused on CPU, GPU or similar high performance architectures.
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Understanding of the many factors influencing power efficiency at chip, system, and product levels.
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Strong interpersonal, communication and teamwork skills.
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A drive to continuously learn and expand technical breadth and depth.
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Experience with verifying or optimizing power from the system level to circuits.
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Background with power estimation and/or management methodologies.
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Experience working across architecture, logic, physical and system teams is a plus
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.”
