Intern, Optical Packaging - Optical Validation & Statistical Analysis

Position: Intern, Optical Packaging - Optical Validation & Statistical Analysis Location: San Jose, CA Job Id: 785 of Openings: 0 --- Intern, Optical Packaging - Optical Validation & Statistical Analysis Term: May to August 2027 Please note: Position location is on-site in San Jose Office There is no immigration (except F1) or relocation support for this position Posting expires upon application threshold Position Description Ayar Labs, the global leader in optical I/O chiplets, is harnessing silicon photonics to revolutionize the scaling of AI compute hardware. Ayar Labs is shattering AI data bottlenecks by moving data at the speed of light. As pioneers of co-packaged optics (CPO), we are using light instead of electricity to move data faster, further, and with a fraction of the energy needed to fuel the explosive growth of AI models.

Backed by industry giants like NVIDIA, AMD and Intel and manufactured in partnership with the world’s leading semiconductor ecosystem, Ayar Labs’ co-packaged optics solution is key to unleashing next-generation AI scale-up architectures. Our Optical Packaging team develops the fiber-to-chip interfaces, optical connectors, and assembly processes that carry light into and out of Ayar Labs’ optical I/O chiplets. We are looking for a graduate intern to analyze optical test data from these interfaces and turn it into engineering decisions.

You will work with insertion-loss and coupling measurements from components, wafers, packaged parts, and supplier data to isolate variation sources and to identify which component and assembly factors drive coupling loss. The role combines hands-on measurement in the lab with statistical analysis in Python. Projects are scoped to your background and interests.

You will be mentored by the Optical Packaging team and will work alongside test, characterization, and process engineers.

Responsibilities Take optical measurements, such as insertion loss and return loss, on fiber arrays, optical connectors, and packaged photonic interfaces using the team’s test stations. Correlate component, wafer-level, and package-level measurements to pinpoint where in the build coupling loss is introduced. 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. Intern Skillset Needed Coursework or research in photonics or optics, including fiber optics and fiber-to-chip coupling Hands-on lab experience with optical insertion-loss or fiber-optic measurements Comfort with optical test equipment such as laser sources, power meters, and optical switches Proficiency in Python for data analysis and statistics (e.g., Pandas, NumPy, SciPy) Ability to clean, merge, and analyze large measurement datasets while tracing results back to devices and test conditions Preferred: experience with design of experiments, variance analysis (e.g., ANOVA), or measurement system analysis Preferred: familiarity with SQL or other structured data sources

Education Requirements Candidate should be actively pursuing a Master’s or PhD degree in Optical/Photonics Engineering, Electrical Engineering, or Applied Physics

Pay Range: $50 - 60/hourly, depending on education level NOTE TO RECRUITERS: Principals only. We are not accepting resumes from recruiters for this position. Remuneration for recruiting activities is only applicable subject to a signed and executed agreement between the parties.

Please don’t send candidates to Ayar Labs, and do not contact our managers. Ayar Labs is an Affirmative Action/Equal Opportunity Employer and is strongly committed to all policies which will afford equal opportunity employment to all qualified persons without regard to age, sex, national origin, race, color, ethnicity, creed, religion, gender identity, sexual orientation, disability, veteran status, or any other characteristic protected by law. It is the policy of Ayar Labs to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship.

Veterans are more than welcome and encouraged to apply. Apply for this Position