Modeling / Verification Design Engineer
Advanced Micro Devices View all jobs
- Markham, ON
- Permanent
- Full-time
- Contribute to and lead photonic device and system modeling efforts, enabling simulation-driven architecture definition, design decisions, and performance optimization.
- Develop and apply SystemVerilog-based models for optical system-level simulation and co-verification with electronic subsystems.
- Perform time-domain modeling and simulation using Python and/or Julia to analyze transient behavior, including optical link performance, SerDes interactions, DSP algorithms, jitter, noise, and signal integrity.
- Evaluate and define system-level trade-offs across photonic and electronic domains, with a focus on power, performance, reliability, and cost.
- Build, validate, and maintain multi-physics models (optical, electrical, thermal) to predict behavior across operating conditions, data rates, and process variations.
- Collaborate cross-functionally with design, packaging, electronics, firmware, and DSP teams to ensure accurate co-modeling and robust system integration.
- Correlate simulation models with lab measurements, including high-speed link characterization and silicon or module-level test data, and continuously refine model accuracy.
- Extensive experience in photonic device and system modeling, simulation, and performance optimization in production or advanced R&D environments.
- Hands-on expertise with industry-standard photonic simulation tools (e.g., Lumerical, VPIphotonics, OptiSystem, COMSOL, or equivalent).
- Experience with SystemVerilog and mixed-signal/system-level modeling frameworks for optical-electrical co-simulation and verification.
- Strong experience in time-domain simulation using Python and/or Julia, including modeling of high-speed optical links, SerDes behavior, DSP algorithms (e.g., equalization, clock/data recovery), jitter, noise, and signal integrity.
- Proficiency in Python and/or Julia for building custom simulation frameworks, numerical analysis, data processing, and model automation.
- Deep understanding of multi-physics modeling, including optical, electrical, and thermal interactions.
- Proven ability to correlate simulation results with laboratory measurements, including high-speed link characterization and BER performance, as well as silicon or module-level test data.
- PhD or Master’s degree in related discipline preferred