Senior Photonic System Modeling Engineer

AMD; San Jose (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

AMD is seeking a seasoned Photonic Systems Engineer in San Jose, CA, to drive photonic device and system modeling across advanced architectures. Apply simulation frameworks to predict behavior, optimize performance, and reduce hardware iterations.

You will build scalable models of optical performance, correlating with lab data, and collaborate with design, packaging, electronics, firmware, and DSP teams to enable production-ready co-models and robust integration.

Qualifications

• PhD or Master’s degree in related discipline preferred.
• Experience in photonic device and system modeling and simulation.
• Correlation of simulation with lab measurements essential.

Responsibilities

• Lead photonic device and system modeling efforts for simulation-driven design.
• Develop SystemVerilog-based models for optical system-level simulation and co-verification.
• Perform time-domain modeling with Python/Julia to analyze transient behavior and Si/optical links.
• Evaluate system-level trade-offs across photonic and electronic domains for power, performance, and cost.
• Build multi-physics models (optical, electrical, thermal) across operating conditions.
• Collaborate with cross-functional teams to ensure accurate co-modeling and integration.

Skills

Photonic modeling

SystemVerilog

Python

Julia

Time-domain simulation

Multi-physics modeling

Lab data correlation

Education

Master's degree

PhD preferred

Tools

Lumerical

VPIphotonics

OptiSystem

COMSOL

Job description

AMD is seeking a seasoned Photonic Systems Engineer in San Jose, CA, to drive photonic device and system modeling across advanced architectures. Apply simulation frameworks to predict behavior, optimize performance, and reduce hardware iterations.

You will build scalable models of optical performance, correlating with lab data, and collaborate with design, packaging, electronics, firmware, and DSP teams to enable production-ready co-models and robust integration.