If you are passionate about wireless communications, machine learning, and next-generation network research, this opportunity at Nokia Bell Labs could be a game-changer for your career. Nokia is hiring a Research Intern in Bangalore to work at the cutting edge of AI-driven wireless systems and 6G prototyping.
This full-time, fixed-term student trainee/apprentice role (3+ months) allows Master’s and Ph.D. students to collaborate with world-class researchers at the intersection of radio systems and artificial intelligence. The internship focuses on building AI-native 6G networks using software-defined radios (SDRs), open-source cellular stacks, and GPU-accelerated edge AI platforms.
If you are looking to gain hands-on research experience in real-time wireless experimentation and machine learning deployment, this internship offers unparalleled exposure.
About Nokia Bell Labs
Nokia Bell Labs is the renowned research arm of Nokia and has a long history of pioneering innovations in telecommunications, networking, and computing. Known globally for fundamental breakthroughs in radio technologies and network architectures, Bell Labs continues to shape the evolution of wireless systems.
The Bangalore research team collaborates with global experts to explore AI-native communication systems, adaptive waveforms, and intelligent network architectures for 6G and beyond. As an intern, you will be embedded within a core research environment that values experimentation, prototyping, and scientific rigor.
Internship Overview
- Role: Research Intern
- Location: Bangalore, Karnataka, India
- Employment Type: Full-Time
- Duration: 3+ Months (Fixed-Term Student Trainee/Apprentice)
- Domain: AI-Driven Wireless Communications & 6G Research
This internship is ideal for postgraduate students seeking research exposure in wireless networks, embedded systems, and AI-enabled communication systems.
Key Responsibilities
As a Research Intern, you will work on building and extending machine learning-powered next-generation wireless systems. Your responsibilities will include:
1. Developing ML-Based Wireless Prototypes
You will develop and extend functionalities within a machine-learning-based next-generation wireless network prototyping framework. This includes integrating AI models into communication pipelines and improving system-level performance.
2. Optimizing AI/ML Models
You will optimize and deploy AI/ML models on GPU-accelerated edge devices. This involves model compression, latency optimization, and ensuring efficient hardware utilization in real-time communication environments.
3. Configuring SDR Hardware
A key part of the role involves configuring and operating Software Defined Radio (SDR) hardware for baseband signal processing and over-the-air (OTA) experiments. You will gain hands-on experience with real-world radio transmissions.
4. Designing Advanced Wireless Experiments
You will design and conduct experiments investigating:
- AI-native waveforms
- Intelligent channel estimation
- End-to-end learning frameworks
- Adaptive communication strategies
These experiments will contribute to real-time 6G prototypes and open-source tools.
5. Research Collaboration
You will collaborate closely with Radio Systems researchers from the Bell Labs Core Research team, contributing to advancements in wireless communications, machine learning, and embedded systems.
Help a friend land their next role. Share now!
Required Skills and Qualifications
To be eligible, you must meet the following requirements:
Educational Background
- Currently enrolled in a Master’s or Ph.D. program in:
- Electrical Engineering
- Computer Engineering
- Computer Science
- Telecommunications
- Or a related discipline
Technical Foundations
- Strong understanding of wireless communications and/or computer networks
- Solid background in machine learning fundamentals
- Strong programming skills in Python and C++
- Comfortable working with Linux systems and embedded platforms
- Experience handling complex open-source software stacks
This role demands both theoretical knowledge and practical implementation skills.
Preferred (Nice-to-Have) Skills
While not mandatory, the following skills will strengthen your application:
- Understanding of 4G/5G NR PHY/MAC procedures and signal structures
- Experience deploying ML models on embedded GPU platforms
- Familiarity with RF calibration, synchronization, and real-world OTA testing
- Contributions to open-source projects
- Peer-reviewed research publications in wireless or machine learning domains
Candidates with prior research experience or published work in communications or AI will have an added advantage.
Benefits and Growth Opportunities
Nokia provides a supportive and growth-oriented environment for interns. Some of the benefits include:
- Flexible and hybrid working schemes
- Well-being programs supporting mental and physical health
- Access to Nokia Employee Resource Groups (NERGs)
- Employee Growth Solutions for personalized skill development
- Access to experienced mentors and coaches
- A learning-driven environment promoting both technical and professional growth
This internship is not just about research—it’s about building a strong foundation for a future career in advanced wireless and AI systems.
Follow us on 
LinkedIn for the latest updates
Follow us on 
Threads for the latest updates
Subscribe ▶️ YouTube Channel for Latest Updates
Who Should Apply?
This opportunity is ideal for:
- Master’s or Ph.D. students specializing in wireless systems or AI
- Students interested in 6G research and AI-native communications
- Candidates aiming for research careers in telecom or embedded AI
- Individuals comfortable working in experimental, fast-paced research settings
How to Apply
Interested candidates should apply now click the button below to submit your application through Nokia’s official careers portal. Ensure your resume highlights:
- Relevant coursework in wireless communications and ML
- Research projects or thesis work
- Publications or open-source contributions (if any)
- Hands-on experience with SDRs, GPUs, or embedded systems
Early applications are recommended due to limited research positions.
Disclaimer
All internship details are based on publicly available information. Nokia does not charge any application fee. Selection is subject to the official recruitment process and eligibility criteria.
Share the opportunity