Logo of Huzzle


Intern, Power Modeling

🚀 Off-cycle Internship

San Jose

AI generated summary

  • Senior level student pursuing Bachelor’s or Master's degree in Computer Science, Computer Engineering, or Electrical Engineering with strong Python programming skills and hands-on experience in SOC design and power modeling. Must have knowledge of computer architecture, excellent communication skills, and be collaborative, innovative, and adaptable.
  • Analyze power consumption in various components of HPC and AI systems, develop system-level power models, conduct workload-specific energy analysis, contribute to SOC and IP-level power modeling, and develop scripts for power analysis and data processing in a fast-paced semiconductor environment.

Off-cycle Internship

Software Engineering, EngineeringSan Jose


  • Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. 
  • We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.

What You’ll Learn:

  • Project: Scalable high-performance computing R&D – power modeling
  • Skills You’ll Learn
  • System-on-chip architecture
  • Micro-architecture
  • Power modeling and analysis


  • Senior level currently pursuing Bachelor’s degree or Master's degree in Computer Science, Computer Engineering, or Electrical Engineering
  • Proficiency in Python programming from developing framework to building the full application
  • Strong hands-on experience in SOC design, especially power design, modeling, and analysis.
  • Experience in computer architecture and SoC design
  • Strong technical writing and communication skills
  • You’re inclusive, adapting your style to the situation and diverse global norms of our people.
  • An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
  • You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
  • Innovative and creative, you proactively explore new ideas and adapt quickly to change.

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering


  • Analyze power consumption in various components of large scale HPC and AI systems
  • Develop system-level architectural and micro-architectural level power models.
  • Do workload specific energy analysis for HPC and AI applications, perform what-if analysis of energy and performance tradeoff for architectural study.
  • Construct SOC-level and IP-level power models
  • Develop scripts to facilitate power analysis and data processing for power-related SOC design flow
  • Contribute to workload-specific power analysis at the SOC and IP levels for large-scale HPC and AI systems
  • Complete other responsibilities as assigned.


Work type

Full time

Work mode



San Jose