Power Analysis and Optimization Engineer - New College Graduate 2027
NVIDIAJob Title
Power Analysis and Optimization Engineer - New College Graduate 2027
Role Summary
Join the Power Analysis and Optimization team to perform ASIC power analysis, modeling, optimization, and flow automation for GPU and SoC products. The team partners with architecture, RTL, verification, and physical-design groups to set power targets, identify savings, and resolve power regressions across the design flow.
Your work will improve energy efficiency and support tradeoff decisions between power, performance, and area.
Experience Level
Entry-level - new college graduate (designed for candidates completing graduate degrees in 2027).
Responsibilities
Key responsibilities include power estimation, analysis, and enabling optimizations across the ASIC design flow.
- Develop IP-level power models to estimate impact of architectural changes and new features.
- Analyze power consumption across workloads and application scenarios.
- Collaborate with architects and design teams to define power targets and evaluate power/performance/area tradeoffs.
- Use internal flows and industry-standard tools to locate power inefficiencies and optimization opportunities.
- Work with RTL and physical-design teams to implement and validate power optimizations.
- Investigate power regressions and identify root causes in architecture, RTL, workload, or physical design.
- Develop scripts, automation flows, and AI-assisted solutions to scale power analysis.
- Research and prototype new methodologies for power modeling, attribution, and optimization.
Requirements
Minimum technical skills and abilities expected for successful performance in this role.
- Strong understanding of digital circuit design, computer architecture, or ASIC design methodology.
- Familiarity with power-consumption fundamentals and common low-power design techniques.
- Programming or scripting experience in Python, C++, Tcl, or similar languages.
- 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/area tradeoffs.
- Experience developing or integrating AI-assisted automation workflows.
Education Requirements
Expected to graduate in 2027 with a MS or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
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.
