Intern, Optical Link Architect (Statistical Analysis & Modeling)
$44/h-$55/h
Ayar Labsa day ago
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OnsiteInternEntry
Summary
Ayar Labs is seeking an Intern, Optical Link Architect (Statistical Analysis & Modeling) to join their team in San Jose, CA for the term of May through August 2026. The role involves analyzing measurement data to improve optical link budgets and simulation models.
About the Role
As an Intern, Optical Link Architect, you will bridge the gap between large-scale data analysis and optical link models. Your responsibilities will include analyzing measurement data from the assembly process, focusing on fiber-to-chip coupling efficiency, improving optical link budgets, and validating your analysis through hands-on experimental work in the lab. You will be mentored by a senior engineer and work alongside Ayar Labs engineers on projects tailored to your experience and interests.
About You
Required:
- Actively pursuing an M.S. or Ph.D. degree in Photonics, Optics, Physics, Electrical Engineering, Data Science, or a related field.
- Strong understanding of optical physics, specifically regarding photonic components, waveguides, and fiber-to-chip coupling mechanisms.
- Demonstrated experience in statistical data analysis and processing large datasets.
- Strong programming skills in Python; familiarity with data analysis libraries (e.g., Pandas, NumPy, SciPy) is required.
Preferred:
- Experience with laboratory equipment and free-space/fiber optics for optical characterization.
- Ability to work collaboratively and independently, and self-manage time effectively to complete projects.
Benefits
- Competitive hourly pay ranging from $44.00 to $55.00.
- Hands-on experience in a cutting-edge technology environment.
Ayar Labs
Ayar Labs is transforming AI infrastructure by accelerating data movement. Recognizing that the complexity and size of AI models are increasing at a rate that traditional interconnect technology cannot handle, the company has developed the industry’s first optical I/O solution that enables customers to maximize the compute efficiency and performance of growing AI infrastructure, while reducing costs, latency and power consumption. Based on open standards and optimized for both AI training and inference, Ayar Labs’ optical I/O solution is backed by a robust ecosystem that enables it to integrate smoothly into AI systems at scale.
San Jose, CA