Wi-Fi Research Co-op
Nokia is hiring a Wi-Fi Research Co-op. Level rates it ; you can apply on Nokia.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Python, C and MATLAB.
- Level classifies it as an internship.
- Level lists 564 other open roles at Nokia.
- The role was posted in the last few days.
AI in this role
Wi-Fi Research Co-op to develop and evaluate next-generation Wi-Fi MAC/PHY concepts and explore machine learning applications for wireless networking.
Number of Positions: 3
Duration: 4 months
Date: January 11-May 21, 2027
Location: Onsite in Sunnyvale, CA
Education Recommendations
Currently a candidate for a Master’s, or PhD (i.e., Computer Science, Electrical Engineering, etc.) or a related field with an accredited school in US.
- 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.
- Knowledge of wireless communications, including Wi-Fi MAC and/or PHY technologies.
- 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.
- Strong communication, collaboration, and problem-solving skills.
- Demonstrated curiosity, creativity, and interest in wireless and Wi-Fi technologies.
How we rate this
Wi-Fi Research Co-op at Nokia rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where wireless communications was part of your work. What did you do?
- Tell me about a project where wifi mac was part of your work. What did you do?
- Tell me about a project where wifi phy was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where simulation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Wireless Communications, Wifi Mac, Wifi Phy, Machine learning, and Simulation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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