Intern, Power Modeling

What You'll LearnProject: Scalable high-performance computing R&D – power modelingSkills You'll LearnSystem-on-chip architectureMicro-architecturePower modeling and analysisWhat You'll DoAnalyze power consumption in various components of large scale HPC and AI systemsDevelop 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 modelsDevelop scripts to facilitate power analysis and data processing for power-related SOC design flowContribute to workload-specific power analysis at the SOC and IP levels for large-scale HPC and AI systemsComplete other responsibilities as assigned.Location: Hybrid, working onsite at our San Jose, CA headquarters 3 days per week, with the flexibility to work remotely the remainder of your time What You BringSenior level currently pursuing Bachelor's degree or Master's degree in Computer Science, Computer Engineering, or Electrical EngineeringProficiency in Python programming from developing framework to building the full applicationStrong hands-on experience in SOC design, especially power design, modeling, and analysis.Experience in computer architecture and SoC designStrong technical writing and communication skillsYou'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.