Power Analysis and Optimization Engineer

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.