(#6312398003) Intern, CPU Performance Modeling Engineer

What You’ll Learn

• Project Overview: Develop, maintain, and analyze models that evaluate CPU performance
• Skills You’ll Learn:  
  • Hands-on experience with cutting-edge CPU performance modeling tools.
  • Opportunity to learn and contribute to real-world CPU design and optimization projects.
  • Work in a dynamic and collaborative environment alongside industry experts.

What You’ll Do

The Advanced Processor Lab (APL) is one of the research teams of Samsung Advanced Institute of Technology (SAIT) which is Samsung‘s R&D hub, established as the incubator for cutting-edge technologies. SAIT’s mission has covered various research areas from AI applications/algorithms research, neuromorphic processor, domain-specific accelerators to new materials, quantum computing, and supercomputer system. 

APL is committed to shaping the future of CPU processor and SoC architecture for the most demanding applications of the future like AI and HPC. We are building the foundation of processors and the related platform which are applied to various business targets of Samsung in the future. 

We are seeking a highly motivated intern to join our CPU Design and Micro-Architecture team in Summer 2025. As a Performance Modeling Intern, you will work closely with senior architects and engineers to develop, maintain, and analyze models that evaluate CPU performance. You will gain hands-on experience in modeling different architectural components and help optimize CPU designs for efficiency, speed, and power consumption.

Location: Onsite at our San Jose headquarters 5 days a week 

Key Responsibilities: 

• Assist in the development and maintenance of cycle-accurate performance models for CPU microarchitectures.
• Analyze architectural designs and configurations to evaluate their impact on performance metrics such as throughput, latency, and power efficiency.
• Work on performance simulation tools to model workloads and assess design trade-offs.
• Assist in conducting performance bottleneck analysis and providing insights for potential improvements in CPU design.
• Collaborate with cross-functional teams, including architecture, design, and verification teams, to refine models based on feedback and real-world data.
• Document performance results and provide detailed reports on findings.

What You Bring

• Currently pursuing a Bachelor’s, Master’s or PhD degree in Electrical Engineering, Computer Engineering, or related fields. 
• Must have at least 1 academic quarter/semester remaining 
• Strong understanding of computer architecture, including CPU pipeline, memory hierarchy, and instruction sets.
• Familiarity with performance modeling concepts and tools (e.g., gem5, Sniper, or equivalent).
• Experience with programming languages such as C/C++ and scripting languages like Python or Perl.
• Ability to analyze large datasets and extract performance trends.
• Excellent problem-solving and analytical skills.
• Coursework or experience in CPU architecture, performance analysis, or microprocessor design.
• Experience with cycle-accurate simulation tools or performance evaluation frameworks.
• Knowledge of RISC-V or other instruction set architectures.
• 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.