Wi‑Fi Research Co-op: Next-Gen MAC/PHY Innovator

NOKIA; Sunnyvale (CA); On-site; USD 41,000 - 55,000; Part time

Job summary

Nokia is seeking multiple Wi‑Fi research interns in Sunnyvale, CA for a 4‑month period. Join a team to explore next‑gen Wi‑Fi features and contribute to IEEE 802.11bn concepts, with hands‑on development and rigorous evaluation.

Ideal candidates are pursuing a Master's or PhD in CS/EE, with strong background in wireless MAC/PHY, ML/AI, and programming in C++, Python, or MATLAB. Onsite collaboration and active problem solving are expected.

Qualifications

• Knowledge of wireless communications, including Wi-Fi MAC and PHY.
• Familiarity with IEEE 802.11be and/or IEEE 802.11bn standards.
• Familiarity with machine learning/AI techniques, Python, and an interest in applying AI to wireless networking problems.
• Ability to implement, evaluate, and analyze new algorithms or protocol mechanisms through simulation.
• Experience with wireless link and/or system-level simulations.
• Programming skills in C++, Python, and/or MATLAB.

Responsibilities

• Work closely with an experienced Wi-Fi researcher, develop and evaluate new features for Wi-Fi 9
• Wi-Fi research comprises fundamental systematic research of exploratory nature for the development of next generation Wi-Fi technology, disrupting and superseding conventional approaches.
• Brainstorm and develop innovative MAC and PHY concepts for IEEE 802.11bn (Wi-Fi 8) and present these concepts to your team members.
• Research concepts and technologies for IEEE 802.11bn (Wi-Fi 8) and evaluate these concepts.
• Prepare contributions to IEEE 802.11bn.

Skills

Wireless communications

Wi-Fi MAC/PHY

IEEE 802.11be/11bn

Machine learning / AI

Python

C++

MATLAB

Simulation and analysis

Team collaboration

Curiosity and creativity

Education

Master's or PhD in CS/EE

Tools

Simulation software

Job description

Nokia is seeking multiple Wi‑Fi research interns in Sunnyvale, CA for a 4‑month period. Join a team to explore next‑gen Wi‑Fi features and contribute to IEEE 802.11bn concepts, with hands‑on development and rigorous evaluation.

Ideal candidates are pursuing a Master's or PhD in CS/EE, with strong background in wireless MAC/PHY, ML/AI, and programming in C++, Python, or MATLAB. Onsite collaboration and active problem solving are expected.