Full-Time
Power Architecture Engineer
Posted on 9/30/2025
NVIDIA
10,001+ employees
Designs GPUs and AI HPC platforms
No salary listed
Bengaluru, Karnataka, India
Hybrid
 Electrical Engineering (1) |
|---|
- B.Tech./M.Tech with 1+ years of experience related to Power such as Power analysis, Power Design, Power Aware Verification, UPF methodologies and Power Correlation
- Strong fundamentals in power including transistor-level leakage/dynamic characteristics of VLSI circuits
- Strong fundamentals in digital design and verilog
- Familiarity with low power design techniques such as multi-VT, Clock gating, Power gating, Voltage Islands and Dynamic Voltage-Frequency Scaling (DVFS)
- Good background in power estimation techniques, flows and algorithms
- Knowledge of power intent formats - UPF/CPF or similar
- Experience in Static Power check tools like VCLP/CLP or similar & Dynamic Power verification tools like VCS-NLP or equivalent
- Be part of NVIDIA Power Architecture Group that owns end-to-end power aspects such as - ASIC power analysis, power architecture, low power design, power-aware verification, advanced power methodologies, UPF methodologies, power feature bring-up on silicon, and post-Si power correlation for NVIDIA's family of products.
- Contributing to power analysis by helping to architect, develop, verify & correlate power estimation models/tools for NVIDIA's products
- Be part of the team that architects & designs system-level power features for optimizing the dynamic and leakage power dissipation for different usecases.
- Work on power verification which includes structural, functional & power aware verification of power features of NVIDIA products by coming up with test plans, write testcases, build test bench components like Monitors, assertions and coverage points & own verification convergence across RTL, Gates and Silicon.
- Validate the effectiveness of the power features on silicon, conduct studies and contribute to the Performance/Watt improvement ideas.
- Help build power management solutions and drive innovation in energy efficiency across NVIDIA’s product portfolio.
- Good debugging and problem-solving skills
- Strong communication skills and ability & desire to work as a great teammate
- Good programming skills - Python preferred (Good skills with object-oriented programming & design) preferred.
- Exposure to Power analysis tools (such as PTPX, EPS) or exposure to lab setups for power measurements like scope/DAQ with ability to analyze board level power issues is a plus
NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.
Company Size
10,001+
Company Stage
IPO
Headquarters
Santa Clara, California
Founded
1993
Simplify's Take
What believers are saying
- Data centers generate 89% of $215.9B FY2026 revenue.
- $40B acquisitions like OpenAI bolster AI infrastructure dominance.
- Nemotron models and Drive Thor accelerate agentic AI adoption.
What critics are saying
- AMD MI450X outperforms Blackwell by 25% per watt in inference.
- Huawei Ascend 910D blocks $10B China AI sales due to bans.
- Google TPU v6 cuts hyperscaler GPU dependency by 60%.
What makes NVIDIA unique
- NVIDIA invented GPU in 1999, pioneering accelerated computing.
- CUDA platform from 2006 enables GPUs for AI and HPC.
- Holds 92% discrete GPU market share as of Q1 2025.
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6 month growth
↓ -1%1 year growth
↓ -3%2 year growth
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Nvidia shares have climbed 18% over a ten-day winning streak, the longest since 2023. The stock is trading about 8% below its October all-time high of $212.19. CEO Jensen Huang revealed at last month's GTC conference that Nvidia has over $1 trillion in GPU orders through 2027, including Blackwell and next-generation Vera Rubin chips. Data centre revenue surged 75% year-over-year and now comprises 88% of the business, a dramatic shift from five years ago when gaming dominated. The rally follows major deals including Meta's February commitment to deploy millions of Nvidia chips across its global data centres. On Monday, Nvidia denied rumours it was pursuing acquisitions of PC makers Dell or HP. The company also unveiled Ising, a new family of open-source models for quantum computing.
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Vertiv Holdings has been reaffirmed with a Buy rating by Evercore ISI, setting a price target of $280, whilst Barclays raised its target from $281 to $300 with an Overweight rating. The electrical equipment company is partnering with Nvidia on AI infrastructure development. On 16th March, Nvidia introduced its Vera Rubin DSX AI Factory reference design, with Vertiv providing critical power and cooling solutions for AI data centres. The partnership integrates Vertiv's infrastructure expertise with Nvidia's AI systems to enhance energy efficiency and performance. Vertiv is developing Vertiv OneCore Rubin DSX, a prefabricated system designed to accelerate AI factory deployment. The Brussels-headquartered company specialises in critical digital infrastructure technologies for data centres and communication networks.
Nvidia and Dell Technologies are positioned as attractive AI infrastructure investments ahead of their May earnings reports, according to recent analysis. Both companies supply critical hardware for AI computing, with demand for AI capacity continuing to outpace available resources across major cloud services. Nvidia shares have remained flat for six months despite strong fundamentals. Last quarter, its data centre business generated $62 billion in revenue, up 75% year over year, with a 75% gross margin. The company expects over $1 trillion in cumulative orders for its Blackwell and upcoming Rubin chips through 2027. Trading at 17 times next year's expected earnings, Nvidia's valuation appears discounted relative to its 66% revenue growth in fiscal year 2026. Dell Technologies similarly stands to benefit from the AI infrastructure build-out. Both companies report earnings in May.