Manufacturing Data and AI Analyst

About Ayar Labs

Ayar Labs is pioneering co-packaged optics (CPO) for AI infrastructure, using light instead of electricity to move data between chips. We design our TeraPHY™ optical I/O chiplets and SuperNova™ light sources in-house and, as a fabless company, partner with leading manufacturers to build them. Our Thailand team works on site at Fabrinet, our contract manufacturing partner, as the Ayar Labs technicalowners of the products Fabrinet builds for us.

About the Role

Turn manufacturing data into decisions. You connect partner production systems and Ayar Labs test data into one view of yield, cycle time, equipment, and quality, and build the models that catch problems early.

Key Responsibilities

• Build secure pipelines from MES, test stations, and equipment logs into a unified data layer.
• Create dashboards for yield, throughput, WIP, scrap, and build status.
• Develop yield analytics and AI/predictive models (excursion detection, test drift).
• Apply SPC to flag issues early and support engineers with analysis.
• Automate recurring reports for leadership and operating reviews.

Required Qualifications

• Bachelor's degree in data science, computer science, statistics, or industrial or electrical engineering.
• 2+ years in manufacturing, test, or yield data analysis.
• Strong SQL and Python; BI tools such as Power BI, Tableau, or Grafana.
• Experience with MES or test-data systems and SPC.
• Good written and spoken English; Thai language skills a plus.

Preferred Qualifications

• Semiconductor, optics, or EMS data experience; LLM-based tools for analysis.

Work Environment

Mostly desk-based at our partner's facility with regular time on the production floor. May require some early-morning or evening calls with the US site located in San Jose, CA.