Optical Module Integration Engineering Intern

LumentumSan Jose, CA
4d$24 - $54Onsite

About The Position

Join the Optical Module Engineering team at Lumentum, where you will help optimize and tune next-generation DataCom optical modules for maximum performance and reliability. This internship focuses on system-level performance optimization, including improving key optical and electrical metrics such as TDECQ, BER, OMA, and signal integrity. You will work with cross-functional teams across optics, DSP, hardware, and test engineering to analyze multi-parameter datasets and identify the right tuning direction to enhance overall module performance. You will gain hands-on experience with high-speed optical systems, automated test environments, and performance-driven engineering methodologies.

Requirements

  • Currently enrolled in a Bachelor’s or Master’s degree program in Electrical Engineering, Optical Engineering, Physics, or a related field.

Nice To Haves

  • Understanding of high-speed optical communication fundamentals (PAM4 signaling, eye diagrams, BER, TDECQ, OMA).
  • Experience writing automation scripts in Python for data collection and analysis.
  • Familiarity with laboratory test equipment such as oscilloscopes, BERTs, optical power meters, or spectrum analyzers.
  • Ability to process multi-parameter datasets and identify performance optimization trends.
  • Basic knowledge of signal integrity and DSP concepts is a plus.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills and ability to work in a cross-functional engineering environment.
  • Hands-on, detail-oriented mindset with interest in system-level optimization.

Responsibilities

  • Assist in tuning and optimizing DataCom optical modules to improve TDECQ, BER, OMA, and related performance metrics.
  • Analyze multi-dimensional datasets to understand performance trade-offs across optical, electrical, and DSP parameters.
  • Develop Python automation scripts to control test equipment, collect measurement data, and streamline performance characterization.
  • Process and visualize large datasets to identify key drivers limiting module performance.
  • Correlate device-level parameters (e.g., laser bias, driver settings, equalization parameters) with system-level test outcomes.
  • Propose data-driven optimization directions and validate improvements through controlled experiments.
  • Support debug efforts for performance degradation or margin issues.
  • Document findings and present technical results to engineering teams.
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