PhD Photonics & Optical Systems Intern

AMD; San Jose (CA); Hybrid; USD 41,000 - 55,000; Full time

Job summary

AMD is seeking a PhD Photonics & Optical Systems Intern/Co-Op in San Jose, CA, to work on next-generation optical interconnect technologies for AI infrastructure. The role involves design, simulation, validation, and characterization of photonic ICs and transceivers.

You will support lab testing, data analysis, and collaboration with engineering teams, using Python/MATLAB and standard lab instruments. This paid internship offers hands-on experience in a cutting-edge AI hardware environment.

Qualifications

• Pursuing a PhD in a related technical field (Electrical/Optical Engineering, Photonics, Physics).
• Experience or coursework in silicon photonics and PICs is preferred.
• Familiarity with Python, MATLAB, or similar tools for computing, automation or analysis.
• Exposure to photonic design, simulation, characterization, or semiconductor technologies is a plus.
• Experience with optical/electrical test equipment is a plus.

Responsibilities

• Contribute to design, simulation, validation, and characterization of photonic integrated circuits and optical transceivers.
• Support laboratory testing and performance analysis of optical and electrical systems.
• Collaborate with cross-functional teams to advance optical interconnect technologies for AI infrastructure.

Skills

PhD Photonics

Python

MATLAB

Data analysis

Lab testing

Oscilloscopes

Signal integrity

Education

PhD candidate in Electrical Engineering / Optical Engineering / Photonics (or related field)

Tools

Python

MATLAB

Job description

AMD is seeking a PhD Photonics & Optical Systems Intern/Co-Op in San Jose, CA, to work on next-generation optical interconnect technologies for AI infrastructure. The role involves design, simulation, validation, and characterization of photonic ICs and transceivers.

You will support lab testing, data analysis, and collaboration with engineering teams, using Python/MATLAB and standard lab instruments. This paid internship offers hands-on experience in a cutting-edge AI hardware environment.