# Student Intern - Research at Nokia

Nokia is hiring a Student Intern - Research. Level rates it Builds AI ●●●●; you can [apply on Nokia](https://jobsbylevel.com/go/ecf5f2dd-c6de-4a0c-bf2d-b158c0cc1567?utm_medium=ai-agent).

AI Level 4, AI centrality 96 out of 100. India.

## Details

- Company: [Nokia](https://jobsbylevel.com/companies/nokia)
- AI level: AI Level 4 (score 96 out of 100)
- Location: India
- Posted: November 6, 2026
- Apply: https://jobsbylevel.com/go/ecf5f2dd-c6de-4a0c-bf2d-b158c0cc1567?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=student-intern-research-at-nokia-3475fd

## Description

Join us as an Intern with Nokia Bell Labs in Bangalore . The Bell Labs Platform ASIC Research lab explores advanced computing architectures and algorithms for next-generation communication systems. In this internship, you will focus on enabling energy-efficient AI and wireless communication workloads through hardware-aware AI algorithms, neuromorphic computing, and domain-specific hardware acceleration, with potential exploration of RISC-V-based accelerators. You will work across AI/ML, wireless signal processing, energy-efficient computing, and hardware/software co-design, developing concepts and running experiments in Python and C. The work may also involve evaluating compute and energy-efficiency trade-offs and contributing to Verilog-based implementations, accelerator microarchitecture, or architecture design studies. You will work closely with Nokia Bell Labs researchers on early-stage research that could influence future intelligent and energy-efficient wireless systems. Key Responsibilities Explore research ideas related to energy-efficient compute for AI-driven wireless communication systems. Study and evaluate neuromorphic computing approaches and their applicability to wireless workloads. Develop experimental prototypes, models, and benchmarks using Python and C. Explore accelerator concepts, including RISC-V-based acceleration, custom instruction extensions, or hardware/software co-design approaches. Potentially contribute to Verilog implementation, microarchitecture exploration, or architecture-level design and simulation. Compare conventional AI compute approaches with low-power, event-driven, approximate, or neuromorphic compute techniques. You have Enrolled in a Ph.D. or MS Research program at the time of the internship. Strong background in one or more areas such as computer architecture, VLSI/digital design, AI/ML algorithms, wireless communications, signal processing, embedded systems or hardware/software co-design Hands-on programming experience in Python and/or C. Ability to design experiments, analyze results, and iterate on research ideas independently. Strong fundamentals in algorithms, digital systems, and performance/energy trade-off analysis. Availability for a 6-month internship. It would be nice if you also have Exposure to RISC-V architecture, instruction-set extensions, accelerator design, or processor microarchitecture. Interest or experience in neuromorphic computing, spiking neural networks, event-driven compute, or low-power AI. Familiarity with energy-efficient computing techniques such as quantization, sparsity, approximate computing, pruning, or workload-specific acceleration. Understanding of RTL design, hardware simulation, or FPGA/ASIC design flows.

Source: https://jobsbylevel.com/jobs/student-intern-research-at-nokia-3475fd

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Level. https://jobsbylevel.com/jobs/student-intern-research-at-nokia-3475fd.

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