Intel
AI Silicon Performance Modeling and Analysis Engineer
$142K–$232K
US, California, Santa Clara · Full-time · Posted Oct 31, 2026
- Experience
- 6+ years of industry experience; the posting lists performance modeling, AI silicon architecture, SoC architecture, computer architecture, performance engineering, or related domains.
- Education
- Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or Electronics Engineering.
- Visa sponsorship
- This position is not eligible for Intel immigration sponsorship.
About the job
Develops and validates SystemC/TLM performance models for AI silicon subsystems, analyzes scalability and bottlenecks, and provides data-backed recommendations to inform architecture and product decisions.
What you'll do
- Develop, maintain, and improve performance models of SoC fabrics, memory subsystems, interconnects, and data movement paths.
- Validate models and conduct workload performance studies, architectural tradeoff analysis, and bottleneck investigations.
- Build performance data analysis and reporting workflows and collaborate with stakeholders on technical recommendations.
What they ask for
- Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or Electronics Engineering.
- 6+ years of industry experience in performance modeling, AI silicon architecture, SoC architecture, computer architecture, performance engineering, or related domains.
- Software development experience in C++; working proficiency in Python.
- Hands-on experience with SystemC and Transaction-Level Modeling (TLM), plus experience developing or validating performance models for complex hardware systems.
Nice to have
- Deep understanding of AI accelerator architectures and modern AI infrastructure; familiarity with AI/ML workloads, large language models, distributed training, and inference.
- Experience building dashboards with Power BI, Tableau, Grafana, Plotly, or similar technologies.
Pay
$141,910.00-232,190.00 USD (target compensation; the posting does not specify whether this is base salary or total pay)
Tools
C++, Python, SystemC, Transaction-Level Modeling (TLM), Power BI, Tableau, Grafana, Plotly
AI focus
Models and analyzes AI silicon systems, including accelerator communication, memory paths, and scalability; studies representative AI workloads and informs architecture and product decisions.
Model-written summary · the original posting is authoritative