# Power Analysis and Optimization Engineer

**Company**: NVIDIA
**Location**: Shanghai
**Experience**: entry
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Power-Analysis-and-Optimization-Engineer----New-College-Graduate-2027_JR2026861?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_20adb04f-32d

## Description

Join NVIDIA's Power Analysis and Optimization team to contribute to ASIC power analysis, modeling, optimization, and flow automation. You will work closely with architecture, design, verification, and physical-design teams to define power targets for architectural changes and new features, identify power-saving opportunities, and resolve power issues.

**Responsibilities**

- Develop IP-level power models to estimate the impact of architectural changes and new features.

- Analyze power consumption across different workloads and application scenarios.

- Collaborate with architects and design teams to define power targets and evaluate power, performance, and area tradeoffs.

- Use internally developed flows and industry-standard tools to identify power inefficiencies and optimization opportunities.

- Work with RTL and physical-design teams to implement and validate power optimizations.

- Investigate power regressions and determine their architectural, RTL, workload, or physical-design root causes.

- Develop scripts, automation flows, and AI-assisted solutions to improve the efficiency and scalability of power analysis.

- Explore new methodologies for power modeling, analysis, attribution, and optimization.

**Requirements**

- Expected to graduate in 2027 with a MS or PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.

- Strong understanding of digital circuit design, computer architecture, or ASIC design methodology.

- Understanding of power-consumption fundamentals and common low-power design techniques.

- Programming or scripting experience in Python, C++, Tcl, or a similar language.

- Good written and verbal communication skills in English.

**Nice to Have**

- Familiarity with ASIC power-analysis tools such as PrimeTime PX or PowerArtist.

- Experience with power modeling, workload analysis, power attribution, or low-power design.

- Experience analyzing power, performance, and area tradeoffs.

- Experience developing or integrating AI agents, engineering skills, or AI-assisted automation workflows.

## Skills

### Required
- Electrical Engineering
- Computer Engineering
- Computer Science
- digital circuit design
- computer architecture
- ASIC design methodology
- power-consumption fundamentals
- low-power design techniques
- Python
- C++
- Tcl

### Nice to have
- PrimeTime PX
- PowerArtist
- power modeling
- workload analysis
- power attribution
- low-power design
- AI agents
- engineering skills
- AI-assisted automation workflows

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Power-Analysis-and-Optimization-Engineer----New-College-Graduate-2027_JR2026861?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)