NVIDIA is known as a world leader in providing energy-efficient high-performance products, and we continue to invest in the research and development of hyper-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 and verticals. Come join NVIDIAs Applied Power Architecture team to develop state of the art GPUs to power AI, Automotive, GeForce, and Mobile products.
We are looking for a Senior Applied Power Architect – GPU.
What you'll be doing:
You will be responsible for inventing methodologies, features and techniques to address electrical/speed/power challenges for NVIDIA's next generation AI architectures such as Rubin and Feynman.
Drive power management initiatives to optimize power efficiency and performance, while addressing electrical/thermal and power constraints.
Understand process characteristics and its impact of V-F and drive analysis of various V-F tradeoffs considering Vt choices on power/other metrics and overall performance.
Investigate multi-die technologies and come up with innovative solutions to address packaging, interconnect, physical design, electrical and thermal challenges.
Analyze peak current, Di/Dt, IR and EM requirements, and collaborate closely with ASIC designers, Power Integrity, Packaging experts and Product engineers to understand challenges and formulate solutions.
What we need to see:
MSEE/MSCE, preferably PhD, or equivalent experience with a specialization in low-power-processor architectures.
Solid understanding of energy efficient system design fundamentals, performance/power modeling and related tradeoffs from your 6+ years of relevant industry experience.
A background in PDN design and good understanding of electrical issues such as Di/Dt, undershoot/overshoot, IR, EM, peak current, analysis/mitigation techniques are helpful.
Exposure and working knowledge of Python and data analysis packages like: Pandas, NumPy, PyTorch is a plus.
Exposure to lab setup including power measurement equipment such as scope/DAQ. Your ability to analyze board-level power issues like supply voltage, over-current etc. is helpful.
Strong interpersonal and organizational skills and the ability & desire to work as a great teammate.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our products are leading the way with groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We have some of the most forward-thinking and hardworking people in the world working for us. Do you love the challenge of crafting the fastest and most power-efficient chips in their class? If so, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.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
- MSEE, MSCE, or equivalent experience specializing in low-power processor architectures
- At least 6 years of relevant industry experience
- Strong understanding of energy-efficient system design fundamentals
- Experience with performance and power modeling and related tradeoffs
- Strong interpersonal and organizational skills with the ability to work effectively on a team
- PhD in a relevant field
- Background in PDN design and electrical issues including Di/Dt, undershoot/overshoot, IR, EM, and peak current analysis
- Working knowledge of Python and data analysis packages such as Pandas, NumPy, and PyTorch
- Exposure to laboratory power measurement equipment, including oscilloscopes and DAQ systems
- Experience analyzing board-level power issues such as supply voltage and over-current conditions
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.”
