Intern, Optical Packaging - Optical Validation & Statistical Analysis
About The Position
Ayar Labs is seeking a graduate intern for its Optical Packaging team to analyze optical test data and translate findings into engineering decisions. The work focuses on insertion-loss and coupling measurements from components, wafers, packaged parts, and supplier data to identify sources of variation and determine which component and assembly factors influence coupling loss. The position combines hands-on laboratory measurement with statistical analysis in Python. Projects will be scoped to the intern’s background and interests, with mentorship from the Optical Packaging team and collaboration with test, characterization, and process engineers. The internship runs from May to August 2027 and is on-site at the San Jose office. No immigration support is available except for F1, and relocation support is not provided.
Requirements
- Actively pursuing a Master’s or PhD degree in Optical/Photonics Engineering, Electrical Engineering, or Applied Physics.
- Coursework or research in photonics or optics, including fiber optics and fiber-to-chip coupling.
- Hands-on laboratory experience with optical insertion-loss or fiber-optic measurements.
- Comfort using optical test equipment such as laser sources, power meters, and optical switches.
- Proficiency in Python for data analysis and statistics, including tools such as Pandas, NumPy, and SciPy.
- Ability to clean, merge, and analyze large measurement datasets while tracing results to devices and test conditions.
Nice To Haves
- Experience with design of experiments, variance analysis such as ANOVA, or measurement system analysis.
- Familiarity with SQL or other structured data sources.
Responsibilities
- Take optical measurements, including insertion loss and return loss, on fiber arrays, optical connectors, and packaged photonic interfaces using team test stations.
- Correlate component-, wafer-level, and package-level measurements to identify where coupling loss is introduced during the build.
- Compare optical performance across builds and supplier lots.
- Build reproducible Python analyses and plots that the team can rerun as new data arrives.
- Document methods and present results to the Optical Packaging team at the end of the internship.
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What This Job Offers
Career Level
Intern
