NVIDIA, a global leader in accelerated computing, computer graphics, and Artificial Intelligence, is at the forefront of industry innovation. Our success stems from ground breaking technology and outstanding talent. We are seeking a Senior Power Feature Design and BringUp Engineer to drive the development of next-generation power management features and solutions. This high-impact role will influence NVIDIA's product roadmap, spanning diverse markets from large-scale data centers to low-power client devices.
Join the Silicon Solutions Team and collaborate with experts in various domains to build innovative system solutions. This is an outstanding opportunity to lead with innovation and make a lasting impact at NVIDIA.
What you'll be doing:
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Power Feature Deployment: Develop and drive design collateral for next-generation power management features, leading their deployment from initial architecture through final product integration.
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Cross-Functional Collaboration: Collaborate across teams, including system architects, designers, hardware and software engineers, and marketing teams, to ensure a seamless, closed-loop design process for power features.
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Controller Design & Compliance: Design controllers that ensure NVIDIA products meet compliance standards and operate within defined power and performance parameters.
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Power Modeling & Characterization: Build advanced methodologies for power modeling, measurement, and feature characterization. Correlate silicon behavior with simulations, provide design feedback, and drive continuous improvement.
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Debug & Optimization: Lead debugging efforts for any miscorrelation between design and silicon behavior, implementing corrective actions to optimize system performance.
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Collaborative Environment: Work in a dynamic, high-energy environment alongside diverse teams, including process and reliability engineers, ATE engineers, and sales, to bring industry-defining products to market.
What we need to see:
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BS or MS in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or related field (or equivalent experience).
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5+ years of experience in silicon and product power management.
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Deep expertise in silicon power, transistor physics, power modeling, measurement, and active power management.
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Proven experience in system-level power optimization, including product binning, data analysis, and performance measurement.
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Background in data center power solutions is a plus.
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Familiarity with silicon bring-up, validation, and post-silicon frequency/power characterization.
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Strong problem-solving abilities and excellent interpersonal skills, with experience collaborating with multi-functional and offshore teams.
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Knowledge of CPU/GPU/SoC architecture and HW-SW co-design is beneficial.
At NVIDIA, we pride ourselves on being one of the most desirable employers in technology. If you're hardworking, innovative, and thrive in a collaborative environment, 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.
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.”