Student Intern - Research
Nokia · Posted Nov 6
Mobile and fixed network infrastructure, IP routing, cloud, and telecommunications technology services
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About the role
The Bell Labs Platform ASIC Research lab in Bangalore explores advanced computing architectures and algorithms for next-generation communication systems. The internship focuses 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. The role spans AI/ML, wireless signal processing, energy-efficient computing, and hardware/software co-design, with experiments in Python and C and possible Verilog-based implementation or architecture studies alongside Bell Labs researchers.
What you will do
- 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.
- 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.
Skills used in this role
What the employer is looking for
- 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.
Preferred qualifications
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Nokia
Nokia Corporation is a multinational telecommunications, information technology, and network equipment provider that delivers critical infrastructure solutions across mobile, fixed, and cloud networks. Known for its historical roots and ongoing global presence in connectivity, the company enables advanced network automation, AI-optimized data center infrastructure, and 5G/6G technology for communications service providers and enterprises worldwide.
- Industry
- Telecommunications
- Company size
- 78005 employees
- Founded
- 1865-05-12
- Location
- Espoo, Finland
- Funding stage
- Public Company
Leadership
President and Chief Executive Officer (CEO)
Chief Financial Officer
Chief Technology and AI Officer
President of Network Infrastructure
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