RFIC Intern
Nokia
Number of Position(s): 1
Duration: 10 Weeks
Date: June – August 2026
Location: On-site in Murray Hill, NJ
This summer intern position is within the Opto-Electronic Integration Research Group at Bell Labs, where we are pursuing research into AI-assisted links for performance optimization. The intern project will study AI frameworks that can be applied to circuit design, with an aim to demonstrate feasibility with a hardware prototype.
Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
- Flexible and hybrid working schemes to balance study, work, and life
- Professional development events and networking opportunities
- Well-being programs, including Personal Support Service 24/7 - a confidential support channel open to all Nokia employees and their families in challenging situations
- Opportunities to join Nokia Employee Resource Groups (NERGs) and build connections across the organization
- Employee Growth Solutions, mentorship programs, and coaching support for your career development
- A learning environment that fosters both personal growth and professional development – for your role and beyond
This is a great opportunity to contribute to Bell Labs’ leadership in photonic and electronic innovation. As part of the Opto-Electronic Integration Research Group, you will support research at the forefront of advanced integrated technologies for future communication systems and emerging applications such as photonic neural networks and quantum computation. Your work will help advance critical components and architectures that enable faster, more efficient, and more intelligent systems. You will play a meaningful role in progressing Bell Labs research that influences Nokia’s long-term technology strategy and drives breakthroughs across the industry.
Must be enrolled in a PhD program in Electrical Engineering or Computer Science.
Knowledge of analog circuit theory, and IC Design in CMOS or SiGe BiCMOS technologies
Knowledge of AI/ML Concepts
Hands-on experience and expertise in one of the above domains
- Programming proficiency in Matlab or Python
As a part of our team, you will:
Explore AI-assisted techniques for optimizing optical and electronic link performance.
Study AI frameworks applicable to advanced circuit design.
Develop models and algorithms to evaluate feasibility of AI-driven design approaches.
Implement and prototype hardware demonstrating key research concepts.
Document findings and present results to the Opto-Electronic Integration Research Group.