As one of the technology industry's most desirable employers, NVIDIA has been redefining accelerated computing, computer graphics, and leading the Artificial Intelligence revolution. NVIDIA's innovation is fueled by its great technology and amazing people. We are seeking a Senior Power and Performance Architect to influence, innovate and drive next generation power management and power features to market. As part of the Silicon Solutions Team, we architect and deliver groundbreaking system solutions that integrate all aspects of the system from silicon design, software design to operations and final deployment in multiple market segments that NVIDIA serves. This position offers a unique opportunity to collaborate with multiple organizations in the company and grow your career in a high-impact role. We need a passionate, hard-working, and creative individual to lead the power features all the way from architecture to delivering the features on the final product.
What you'll be doing:
Architect next generation power management features and solutions, through system architecture, design, and productization; working with multi-functional teams across the company.
Evaluate industry direction and use cases; identify opportunities and challenges in the area of power management and optimization to drive the future roadmap to build competitive products.
Drive initiatives for system-level power optimizations spanning across silicon, platform, software, manufacturing, and product systems; for products ranging from large-scale datacenters to low-power client devices.
Lead the team for power feature requirements and schedule from architecture to silicon phase of projects, incorporating silicon feedback to improve the next generation.
Develop methodologies for power modeling and measurement, characterization of power features, correlate silicon behavior with simulations, and provide design feedback.
Work alongside system architects, designers, marketing teams, chip and board designers, software/firmware engineers, HW/SW applications engineering, process/reliability authorities, ATE engineers, sales, and silicon operations, in a fast-paced, high-energy, collaborative work environment to bring industry-defining products to market.
What we need to see:
MS or PhD in EE, CE, CS, Systems Engineering or equivalent experience.
Proven experience of 15+ years in the area of silicon and product power and power management.
Expertise and deep understanding in the areas of silicon power, transistor/device physics, power modeling and measurement, active power management.
Background with system level features, product binning methods, optimization techniques, methods and tools for data analysis and statistics.
Experience working on product level power and performance analysis and optimization. Background with the market segments of datacenter is preferred.
Familiarity with silicon bringup and validation, frequency and power characterization; hands-on post silicon experience is a plus.
Excellent problem solving, partnership, and interpersonal skills.
Experience working with offshore teams is required.
Exposure to CPU/GPU/SoC architecture and HW-SW co-design is a plus.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 232,000 USD - 368,000 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- MS or PhD in EE, CE, CS, Systems Engineering or equivalent experience.
- 15+ years proven experience in silicon and product power and power management.
- Expertise in silicon power, transistor/device physics, power modeling and measurement, and active power management.
- Background with system-level features, product binning methods, optimization techniques, and data analysis/statistics tools.
- Experience with product-level power and performance analysis and optimization.
- Background with the datacenter market segment.
- Familiarity with silicon bringup and validation, frequency and power characterization.
- Hands-on post-silicon experience.
- Experience working with offshore teams.
- Excellent problem solving, partnership, and interpersonal skills.
- Exposure to CPU/GPU/SoC architecture and HW-SW co-design.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
