Chip Power Estimation Engineer

Job Title

Chip Power Estimation Engineer

Role Summary

Develop and maintain architectural power estimation models and infrastructure for GPUs and SoCs. Work across architecture, design, synthesis, timing, circuit, and post-silicon teams to estimate, correlate, and optimize chip and board power for product use cases.

Opportunity to influence power/performance tradeoffs across consumer graphics, automotive, and AI products.

Experience Level

Early career (Entry-level). The posting requests at least 2+ years of relevant experience in power/performance estimation and optimization.

Responsibilities

Primary responsibilities include building models, tools, and workflows to estimate and optimize chip power.

• Architect, develop, and correlate power estimation models and tools for NVIDIA chips.
• Develop models for use-case, idle, and I/O power and design associated testing infrastructures.
• Design and implement power-estimation tools and validation methodologies.
• Calibrate models against measured silicon and board data.
• Evaluate chip configuration and process-technology options to optimize power/performance.
• Contribute ideas and analyses to improve performance-per-watt for GPUs and SoCs.

Requirements

Must-have technical skills and experience.

• Minimum 2+ years of experience in power/performance estimation and optimization techniques.
• Strong fundamentals in transistor-level leakage and dynamic behavior of VLSI circuits.
• Familiarity with low-power design techniques such as multi-Vt, clock gating, power gating, and DVFS.
• Proven knowledge of power-estimation techniques, flows, and algorithms.
• Good programming skills; Python preferred. Strong object-oriented programming and software design skills.

Nice-to-have:

• Experience with board-level power measurement equipment (oscilloscope, DAQ) and analysis of board power issues.
• Familiarity with power analysis EDA tools such as PTPX/EPS.
• Good communication skills and demonstrated ability to work collaboratively on cross-functional teams.

Education Requirements

Posting specifies B.Tech. or M.Tech. (listed as required). No specific field of study is named in the posting.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.