Photonics Design Engineer Co-op — Hybrid Spring/Summer 2027

AMD; San Jose (CA); Hybrid; USD 28,000 - 44,000; Full time

Job summary

AMD Photonics Design Intern in San Jose, CA, offers a hybrid 2-3x/week schedule for Spring/Summer 2027. You will assist in photonic IC design, simulations, and data-driven optimization while gaining hands-on experience with cross-functional engineering teams.

You will collaborate on automated workflows, device characterization, and problem solving with photonics, packaging, systems, and test engineers to advance AI and computing technologies.

Qualifications

• Pursuing a Master's in Electrical or Optical Engineering or related field.
• Familiarity with photonics, optics, semiconductor devices, or optical communication systems.
• Experience with engineering simulation, modeling, or data analysis techniques.
• Experience with Python, MATLAB, or similar for technical computing and automation.
• Knowledge of photonic device characterization, optical measurements, or related methods.

Responsibilities

• Assist in the design, simulation, and evaluation of photonic integrated circuits and optical subsystems for next-gen computing applications.
• Perform photonic device and circuit simulations, analyze measurement data, and compare results against predictions to improve design performance.
• Develop automated workflows for photonic design, testing, and data analysis using Python and other engineering tools.
• Gain hands-on experience characterizing photonic devices and collaborating with photonics, packaging, systems, and test engineers to solve complex challenges.

Skills

Python programming

Data analysis

Photonic design

MATLAB

Education

Master's in Electrical Engineering

Master's in Optical Engineering

Tools

Ansys Lumerical

Luceda IPKISS

COMSOL Multiphysics

Synopsys OptSim/OptoCompiler

Cadence Virtuoso

Job description

AMD Photonics Design Intern in San Jose, CA, offers a hybrid 2-3x/week schedule for Spring/Summer 2027. You will assist in photonic IC design, simulations, and data-driven optimization while gaining hands-on experience with cross-functional engineering teams.

You will collaborate on automated workflows, device characterization, and problem solving with photonics, packaging, systems, and test engineers to advance AI and computing technologies.