Photonics Data Analysis Engineer

We are seeking a Photonics Data Analysis Engineer with 5–10 years of experience to join our team. This role focuses on analyzing large sets of photonic device, module, and system-level data to extract insights, improve performance, and drive product development. The ideal candidate combines strong data science skills with a solid understanding of photonics and semiconductor processes, and has experience collaborating with fab and design teams to optimize yield and performance.

• Collect, process, and analyze data from photonic devices, modules, and systems (e.g., lasers, modulators, detectors, transceivers).
• Develop models and algorithms to evaluate device and system performance, reliability, and yield.
• Apply statistical and machine learning techniques to identify trends, correlations, and root causes of variability.
• Build dashboards, automated pipelines, and visualization tools for data monitoring and reporting.
• Collaborate with photonics design, test, and fab process engineering teams to understand design–process interactions.
• Partner with the fab to identify sources of process variation, drive yield improvement, and feed data-driven recommendations into design and manufacturing.
• Support yield improvement, performance optimization, and failure analysis through data-driven methodologies.
• Document findings and present technical results to cross-functional teams and leadership.

Required:

• Bachelor’s, Master’s, or PhD in Electrical Engineering, Physics, Photonics, Computer Science, Data Science, or related field.
• 5–10 years of industry experience in data analysis, photonics, or semiconductor manufacturing.
• Strong background in data analysis, statistics, six-sigma, and signal processing.
• Proficiency in Python, MATLAB, R, or similar analysis tools.
• Experience with JMP or similar software package for statistical analysis and Design of Experiments (DOE) in yield and process optimization.
• Knowledge of photonics or optical communication systems.
• Experience working with cross-functional teams including fab and design groups.

Preferred:

• Experience with machine learning (scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with photonics testing, optical alignment, electrical probing, and or related optical/electrical measurement equipment (e.g., laser, power meter, SMUs, OSA, reflectometer, oscilloscope, ESA) BERT, interferometers).
• Familiarity with semiconductor device manufacturing, fab processes, and test data analysis.
• Experience with cloud-based data platforms (AWS, Azure, or GCP).
• Experience with SQL or noSQL databases