NVIDIA is seeking a passionate, creative, and highly motivated engineer to work on architectural power estimation for the world’s leading GPUs and SOCs. In this position, the responsibility includes development of advanced power models to estimate chip and board power under product driven use cases. You are expected to understand the high-level chip architecture, application use-cases, low power design techniques, process technology aspects which impact dynamic and leakage power, develop the estimation infrastructure, estimate power consumption under various scenarios. You will be working with architecture, design, synthesis, timing, circuit, and post silicon teams to accomplish your tasks.
This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform the way graphics are used to solve some of the most complex problems in computer science. The GPU started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is increasingly known as “the AI computing company.”
What you’ll be doing:
Architecture, development and correlation of power estimation models/tools for NVIDIA's chips
Help architect and develop power models for use-cases, Idle power and IO power.
Chip in to design the tools based on these models and their testing methodology/infrastructures
Correlate and Calibrate the power models using measured silicon data
Analyze and help decide the chip configuration and process technology options to optimize power/performance for Nvidia's upcoming chips
Help study and contribute to Performance/Watt improvement ideas for Nvidia's GPUs and SOCs
What we need to see:
B.Tech./M.Tech and 2+ years of experience related to Power / Performance estimation and optimization techniques
Strong fundamentals in power including transistor-level leakage/dynamic characteristics of VLSI circuits
Familiarity with low power design techniques such as multi VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS)
Strong background in power estimation techniques, flows and algorithms
Good programming skills - Python preferred. Good skills with object-oriented programming and design.
Ways to stand out from the crowd:
Exposure to lab setup including power measurement equipment such as scope/DAQ with ability to analyze board level power issues is a plus
Exposure to power analysis EDA tools such as PTPX/EPS
Good communication skills & desire to work as a great teammate
With competitive salaries and a generous benefits package, Nvidia is widely considered to be one of the most desirable employers in the world. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills Required
- B.Tech. or M.Tech. degree
- 2+ years experience in power/performance estimation and optimization
- Strong fundamentals in transistor-level leakage and dynamic characteristics of VLSI circuits
- Familiarity with low-power design techniques (multi-VT, clock gating, power gating, DVFS)
- Strong background in power estimation techniques, flows, and algorithms
- Good programming skills; Python preferred
- Object-oriented programming and design skills
- Exposure to lab power measurement equipment (oscilloscope/DAQ) and board-level power analysis
- Exposure to power analysis EDA tools such as PTPX/EPS
- Good communication skills and ability to work on cross-functional teams
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.”
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