About the role
Position: Sr. Engineer, Optical Link Design Location: San Jose, CA Job Id: 629 # of Openings: 0 Sr. Engineer, Optical Link Design Location: San Jose, CA (on-site) 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, Mediatek 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. Joining our Link Design and Architecture team means you will play a pivotal role in shaping our silicon photonics optical I/O platform. This team is responsible for ensuring the robustness and performance of the optical links that power our technology. In this role, you will bridge the gap between large-scale data analysis and advanced optical link models to optimize the performance of Ayar Labs' co-packaged optics (CPO) solution. Essential Functions Support rigorous link modeling studies to help evaluate future product solution spaces and define precise component-level specifications. Identify key device performance metrics and translate hardware variability into its impact on total link budget and manufacturing yield. Build accurate system-level models based on component-level data and benchmark these models against measured system-level data. Work collaboratively with Photonic and AMS teams to ensure seamless integration across electrical and optical domains. Required
Qualifications Bachelor's degree in Optics/Photonics, Physics, Electrical Engineering or a related field. Demonstrated experience in photonics, electrical engineering, high-speed link design, or processing and analyzing large statistical datasets. Comprehensive understanding of high-speed electrical and/or optical links, as well as optical physics regarding photonic components. Strong programming proficiency in Python for scientific computing and data analysis. Familiarity with data analysis libraries (e.g., Pandas, NumPy, SciPy) is required. Excellent communication skills to convey complex technical concepts and a proven ability to thrive in collaborative team environments. Preferred
