Intern, Power-Thermal Simulation Software Engineer

What you'll do

• Build automation pipelines for simulation runs, regression testing, and result tracking.
• Implement and optimize trace-driven power and thermal simulation engines.
• Generate transient power maps and perform spatiotemporal hotspot analysis.
• Develop high-fidelity power macromodels for AI memory component IPs using analytical modeling and neural networks.
• Extract activity, value, and state-dependent power features from C, SystemC, and RTL simulations.
• Calibrate models using synthesis-assisted anchors and validate against RTL, gate-level, and silicon data.
• Integrate IP-level power macromodels into system-level simulations.
• Manage time-indexed simulation flows across power and thermal domains.

What we're looking for

• Pursuing a Master's or PhD in Computer Science, Electrical and Computer Engineering, or a related major.
• Must have at least one academic quarter or semester remaining.
• Proficiency in C++, Python or Bash scripting, and SystemC and/or transaction-level modeling.
• Systems-level software engineering skills.
• RTL design, synthesis, and analysis research and/or experience in Verilog, SystemVerilog, or SystemC (preferred).
• Experience with large-scale simulation or EDA/CFD adjacent tooling environments (preferred).
• Familiarity with discrete event or time-stepped simulation architecture (preferred).
• Experience with GPU, computer architecture, AI memory, memory controllers, PHYs, or high-speed I/O (preferred).