Nokia Internships - 73 jobs

Number of positions: 1 Duration: 10 weeks Dates: June - August, 2026 Education Recommendation Currently a candidate for a doctoral degree as a full-time student in Computer Science, Electrical Engineering, or a related field with an accredited school in the US. Strong knowledge of network systems and/or applications of Machine Learning Experience in building network systems Deep Knowledge of RDMA, P4, DPDK, and DOCA technologies Passion for research and keen interest in contributing to the development of technologies for building the next generation of networks. It would be nice if you also had: Skills in/experience with eBPF, virtual switches, SDN protocols. At Nokia Bell Labs Core Research we are constantly challenging the status quo and relentlessly pushing boundaries. We admire the talent to create. We embrace unique ideas and cultivate passion for building things that matter. If you embody any of those qualities, we look forward to adding your unique abilities to our team. As part of our team, you will: Contribute to Nokia Bell Labs Core Research -- a team that leads innovative research focused on the current Nokia Business Group Portfolio for both short and long-term excellence and will drive the future portfolio for Nokia. Our research will enable commercialization through the Nokia Business Groups in our current markets through areas of expertise in: Data center networks for AI applications Expertise in RDMA technologies and their uses Expertise in P4 programming and its uses Network fabric for XR applications, Edge Computing Software Defined Networking

RF/Digital Hardware Design Intern (s): 3 Duration: 10 weeks EDUCATIONAL RECOMMENDATIONS Currently a candidate for a Master's or bachelor's degree in Electrical Engineering, Computer Engineering, or a related field with an accredited school in the US. Career interest and Undergraduate or Graduate coursework related to Wireless Communications Systems, Analog circuit design, Digital circuit design, and RF performance testing. Experience with, or comfortable learning to use, test equipment such as Spectrum Analyzers, Signal generators, Network Analyzers, oscilloscopes, voltage meters, power supplies, a soldering iron, and basic hand tools. Familiar with creating content in Microsoft Office apps, including Word and Excel. It would be nice if you also had: Previous work/lab experience in RF or Digital hardware circuit design development, implementation, and/or validation testing. Work/lab experience with RF and or digital test equipment and the use of RF/Analog simulation tools Experience in circuit schematic design and PCB CAD layout. Experience in the analysis and presentation of test data Familiarity with Python scripting. Component (chip) selection, drawing schematics, and soldering of electronic components Coding and running automated laboratory test scripts to test individual circuits as well as overall systems Troubleshooting design issues and brainstorming with the team to find a fix Analog circuit simulation, digital circuit simulation Reliability prediction calculations

Software Dev Intern (s): 1 Duration: 10 Weeks The team you'll be part of You will be part of the Cloud Mobility Manager (CMM) within Nokia's CNS Division. The CMM delivers a converged packet core solution that addresses 5G (AMF), 4G LTE (MME), and even 2G/3G in a fully cloud-native architecture. Invent 5G with us, and be part of a diverse, multi-site world-class R&D team! Education Recommendations Currently a candidate pursuing a bachelors or masters degree in Computer Science, Computer Engineering, or a related field with an accredited school in the US. Working toward a degree in Computer Science, Electrical/Computer Engineering, or a related field. Experience with at least one programming language depending on the summer project described above: Python, C++ (preferred) or web frameworks (HTML/CSS, and common frameworks (e.g., React, Vue, or Angular, NodeJS). Basic understanding of computer networking (TCP/IP, UDP, routing). Experience with Docker and basic Kubernetes concepts (pods, deployments, services). Interest or coursework in telecommunication protocols (3GPP), signaling, or network simulation is a strong bonus. It would be nice if you also had: Familiarity with Linux, Git, and GenAI tools Robot or proven experience in projects featuring automation technologies. Work on technologies to improve development & prototyping in Virtualization/Cloud Computing including technologies like: Container Technologies/Kubernetes platforms GenAI and application of GenAI in your project 3GPP and Network Protocol Development Contribute to a project in ONE of the following areas: Coding in C++/C and Python Web Development (web dashboards, reporting tools, or small web applications) 3GPP tools/computer infrastructure/ CI CD pipeline Test Script Automation Development (Unit Testing & Test Script Automation)

AI/ML Architect Intern (s): 1 Duration: 10-week internship Educational Recommendations: Candidates who are actively pursuing a Bachelor's or master's degree in Computer Engineering- Computer science or Data Science in an accredited university in the U.S. Note: Only U.S. Citizens are elegible for this role, given the nature of our costumer. This role does not offer sponsorship or relocation. Familiarity with AI/ML toolkits and data-driven problem-solving. Understanding of AI model evaluation methods (e.g., confusion matrix, accuracy, precision, recall ). Strong analytical mindset and ability to interpret performance metrics. Excellent collaboration and communication skills; proactive and self-motivated. Ability to work independently and within a team environment. Strong written and oral communication skills with presentation experience. You will: Develop ML training procedures for interference detection and characterization AI models. Train an existing AI model using labeled ML data on a Near-RT RAN Intelligent Controller in a Nokia system test lab. Perform RF signal injection and evaluate AI model accuracy using established metrics. Document ML training, testing, and evaluation steps for future use by Nokia teams. Present project results, challenges, and accomplishments to Nokia Architecture Team leads at the conclusion of the internship.

Project Management Intern (s): 1 Duration: 10 weeks Currently pursuing a degree in Project Management, Business, Engineering, or a related field at an accredited U.S. university. Computer savvy; proficient in Microsoft Office Suite (Excel, SharePoint). Strong organizational skills and attention to detail. Technical agility and a digital mindset. It would be nice if you had: Excellent verbal and written communication skills. Problem-solving and critical thinking abilities. Self-starter with a strong work ethic; motivated to learn, be challenged, and contribute to the team. Shadow Project Managers to learn project review, recognition, forecasting, and identifying scope opportunities. Gain exposure to the complete Nokia project lifecycle, including planning, execution, and acceptance. Collaborate with a Resident Engineer to understand lab certification processes and User Acceptance Test (UAT) requirements for new PON ONTs. Observe Maintenance Windows (MW) to learn the mechanics and responsibilities involved in MW activities. Monitor and engage in CARE activities to understand real-world production issues and remediation steps. Utilize Microsoft tools (Excel, SharePoint, etc.) for documentation and reporting.

(s): 1 Duration: 8-12 months Educational Recommendations: Candidate should be working towards a degree or diploma in Computer Science, Photonics and Optical Engineering, or a related field at an accredited university or college in the United States General Office suite familiarity Familiarity with general computing concepts Experience with IP networking Experience with Windows and Linux Ability to lift 50+ pounds It would be nice if you had: Experience with scripting or other programming languages such as python, go, etc Maintain inventory of equipment Maintain general Lab tidiness and organization Provide hands-on assistance to local and remote staff with Installation/removal/upgrades/reconfiguration/troubleshooting of optical transport equipment Other duties as required

Number of Positions: 1 Duration: 10 weeks Dates: June - August 2026 EDUCATIONAL RECOMMENDATIONS Currently pursuing a Bachelor's or Master's degree in Mechanical Engineering, Thermal Engineering or a related technical field with an accredited school in the US. Strong interest in high-tech and a passion for learning. Excellent communication and interpersonal skills. Strong problem-solving and analytical skills. Time management skills and working with strict deadlines. A collaborative, solution-focused mindset and overall sense of urgency. Knowledge of 3D printing. Understand 2D drawings of 3D CAD parts and assemblies. Familiar with 3D CAD software such as Creo, SolidWorks or other mechanical design tools. We are seeking motivated, self‑driven undergraduate or graduate students in mechanical and/or thermal analysis engineering who want to gain experience in designing enclosures, sheet metal, diecast, injection molded, and heatsink parts. As part of our team, you will help: Tackle complex design challenges. Assist the assembly team to create assemblies from 2D mechanical drawings. Assist with the process and maintenance of the 3D printers. Assist in the set up and testing of liquid cooled CDU Attend team meetings, learn about project methodologies, and collaborate with colleagues. Efficiently complete tasks and responsibilities assigned by a supervisor. Participate in periodic reviews to share updates and incorporate feedback on assigned projects and initiatives.

(s): 1 Duration: 4 Months EDUCATIONAL RECOMMENDATIONS Currently a candidate for a Master's or bachelor's degree in Computer Science or a related field at an accredited school in the US. Strong programming skills demonstrated through academic coursework, personal projects, or internships, with the ability to write clean, efficient, and maintainable code. Solid knowledge of algorithms and data structures, with the ability to apply these concepts to solve real-world problems efficiently. A proactive and curious mindset, with a can-do attitude toward learning new technologies, tools, and concepts in a fast-paced environment. It would be nice if you also had: Completed coursework or gained prior experience in computer networking, including familiarity with protocols, architectures, or network troubleshooting. Exposure to or hands-on experience with big data technologies such as Hadoop, Spark, or data processing pipelines. Interest or experience in Artificial Intelligence (AI) or Machine Learning (ML), whether through projects, research, or personal exploration. As a part of our team, you will: Work with a team of software engineers and/or other interns/co-ops developing application software and services that manage and monitor Nokia's telecom networks. Operate in a SaaS-first mindset to deliver technology that will be developed as well as operated by your team. Develop automated tests to functionally validate the capabilities you engineer. Learn good design and software engineering practices under the guidance of a senior software architect. Understand the inner workings of Nokia's state-of-the-art 5G telecom networks that help the world act together

(s): 3 Duration: 10 Weeks Education Recommendations Pursuing a Bachelor's, Master's, or PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field with an accredited school in the US. Strong foundation in AI and machine learning, with a passion for robotics. Familiarity with ROS (Robot Operating System) and its applications. Experience in data capture, processing, and analysis is preferred. Knowledge of physical AI and embodied AI concepts is an advantage. Excellent programming skills, particularly in Python and C++. Ability to work independently and manage time effectively. Strong problem-solving and analytical skills, enthusiasm for learning, and a desire to contribute to innovative research. As part of our team, you will: Assist in developing and testing AI-powered robotic systems, focusing on physical/embodied AI. Collaborate with a diverse team of researchers and engineers to integrate AI models into robotic platforms. Utilize ROS 1 & 2 (Robot Operating System) for robotic system development and control. Capture and analyze data to improve the performance and decision-making capabilities of our robotic systems. Conduct experiments and simulations to evaluate the effectiveness of AI algorithms in robotic applications. Document and present your findings to the team, providing valuable insights and recommendations. Engage in knowledge-sharing sessions to enhance your understanding of AI and robotics principles. Work on individual or group projects, demonstrating your creativity and problem-solving skills.

(s): 1 Duration: 4 Months Education Recommendations: Currently a candidate for a Master's or PhD degree in Computer Science or Engineering, Mathematics, or a related field with an accredited school in the US. Experience with: Machine learning, optimization algorithms, and deep-learning techniques. Machine learning frameworks (e.g., TensorFlow, PyTorch). Search engines and vector databases, along with their underlying algorithms. Big data frameworks and technologies such as Spark, Kafka, and Cassandra. Excellent communication skills and is a team player. As part of our team, you will: Design, develop, and deploy advanced AI/ML models and algorithms to analyze and interpret complex data. Design and implement machine learning models to improve a wide range of applications, including search, forecasting, text mining, and more. Develop and implement agentic-based systems for a wide range of applications, including anomaly detection, root-cause analysis, and more. Optimize existing machine learning models and pipelines for performance, scalability, and resource efficiency.

(s): 2 Duration: 10 weeks EDUCATIONAL RECOMMENDATIONS Currently pursuing a PhD in Computer Science, Electrical Engineering, or a related field at an accredited school in the United States. One or more of the following must-have skill-sets: Deep expertise in 3GPP architectures, protocol layers, and interfaces, with hands-on systems implementation experience. Strong background in applying AI/ML techniques to network optimization, control, or management. Established publication record demonstrating impactful research contributions. It would be nice if you also had: Proven research experience with measurable results and contributions to advanced wireless systems. Ability to anticipate emerging research trends and identify high-impact directions for future work. As a part of our team, you will be involved in the following key activities: Design next-generation (6G and beyond) systems based on 3GPP, AI-RAN, and O-RAN architectures. Apply machine learning techniques to optimize cellular network performance. Develop service-aware and network-application co-optimization solutions for beyond-connectivity use cases. Implement innovative algorithms and prototypes in real-world systems such as OpenAirInterface. Perform hands-on testing, validation, and performance benchmarking in lab environments. Document findings through publications at top-tier venues and contributions to patents.

*** This role will not be offering sponsorship or relocation*** Number of Positions: 1 Duration - 10 weeks Dates: June 1 - August 7, 2026 Our team, Session Border Controller R&D - is a part of the Mobile Infrastructure Operating Segment. This segment creates value for our customers by providing the core and radio network technology and services that create value for our customers with our robust IP portfolio. Our Session Border Control R&D team continues to evolve our software and solutions to connect networks and cloud while providing high value and creating new opportunities for our customers Educational Recommendations: Currently a candidate for a Master's, Bachelor's degree, or Diploma in Computer Science, Computer Systems Engineering, etc,. or a related field with an accredited school in the USA Active student status for at least one year, preferably in Computer Science or a related field. Ability and willingness to work on-site in the Naperville, IL office during the internship. Availability to work full-time (40 hours per week) during the summer term. Excellent verbal and written communication skills in English. Strong teamwork mindset with a collaborative and professional attitude. Demonstrated commitment to delivering high-quality, reliable work. Knowledge of UNIX systems; familiarity with IP networking, Linux, programming, containerization, and virtualization is a plus, with a strong willingness to learn. As an intern on our team, you will: Learn the software architecture behind today's mobile phone calls and explore how it continues to evolve Contribute new ideas to expand and improve our team's efficiency by utilizing the latest technology Work with initiative and effectiveness in a hybrid environment. Apply strong problem-solving skills to address complex, non-routine tasks and approach them with fresh perspectives.

Duration: 10 Weeks Breakthroughs that would help to greatly improve wireless communications are critically important for the success of 6G. We are devoted to establishing fundamentals and proposing game-changing, high-impact technology solutions and disruptive radio connectivity concepts. We are seeking highly self-motivated talents with strong machine learning, signal processing, and wireless communication backgrounds to work on various challenges in communication systems, including but not limited to new algorithms and concepts for the physical layer, compression, (de)coding, (de)modulation, wireless channel modelling, feedback, radio resource management, and radio sensing. EDUCATIONAL RECOMMENDATIONS Ideal candidate will be pursuing a PhD degree in electrical/electronic engineering, computer science, applied mathematics, or related fields, with experience in wireless communication, signal processing, and machine learning. Minimum GPA 3.0. Excellent background in wireless communication and signal processing Strong troubleshooting skills Work independently as well as inside a collaborating team Good programming skills Good track record in scientific publication As part of a team, you will Identify the state-of-the-art of the proposed project Apply relevant analysis and propose potential solutions Compare against legacy benchmarks, and provide performance evaluation and recommendations Document all the technical details, make internal presentations Write an internal technical report for potential conference/journal publications. It is desirable that the internship work to be of sufficient quality to warrant publication.

(s): 4 Duration: 10 weeks The team you'll be part of You will be a part of the Product Security team specializing in creating applications to ensure Nokia products are aligned with Customer security expectations and regulatory compliance. Our applications are Python/Django based and are created with the latest technologies including MS Azure, microservices, and AI/ML algorithms. Your primary focus will be to enhance the applications by designing and implementing AI/ML-based Proof-of-Concept solutions for real-world problem statements provided by our architects (ex: Adapting LLMs for intelligent vulnerability management) Though our team is spread across the US and India, your primary contacts will be the Solution Architects based in Naperville, IL. Education Recommendations Currently a candidate for a bachelor's degree or diploma in Computer Science, Computer Systems Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related field within an accredited school in the US. Working knowledge of Machine Learning and AI algorithms Experience solving real-world problem statements using Machine Learning strategy Working knowledge of advanced Python, Django, and Scripting languages (Perl, Shell) Familiar with Data search, parsing, and interpretation methodologies It would be nice if you also had: Experience in bringing up and training of LLM models Experience in creating microservices and cloud interfaces Security know-how (especially Vulnerability Management, SBOM, etc) is a huge plus As part of our team, you will: Learn about our applications focused on Product Security Design AI/ML-based solutions to real-world problem statements Create Proof-of-Concept solutions from scratch and deploy them as independent microservices Work with the team to define new ideas to help our end users and optimize application functionality

Number of Positions: 1 Duration: 4 months Dates: 11th May - 21st Aug (tentatively) Education Recommendations: Currently a candidate for a Master's or PhD degree in Computer Science or Engineering, Mathematics, or a related field with an accredited school in the US. Strong knowledge of machine learning, optimization algorithms, and deep-learning techniques. Experience with leading ML frameworks, such as TensorFlow or PyTorch. Familiarity with search engines, vector databases, and their underlying algorithms. Knowledge of big data frameworks and technologies, including Spark, Kafka, and Cassandra. Excellent communication skills and the ability to collaborate effectively in a team environment. As part of our team, you will: Design, develop, and deploy advanced AI/ML models and algorithms to analyze and interpret complex data. Design and implement machine learning models to improve a wide range of applications, including search, forecasting, text mining, and more. Work on implementing machine learning systems for enterprise usecases such as anomaly detection, RAG, training platform, and more. Develop and implement agentic-based systems for a wide range of applications, including anomaly detection, root-cause analysis, and more. Optimize existing machine learning models and pipelines for performance, scalability, and resource efficiency.

(s): 1 Duration: 3 Months+ Education Recommendations Currently a candidate for a bachelor's degree or diploma in Computer Science, Computer Systems Engineering, or a related field with an accredited school in the US. Dell, Omni, Nuage, 77xx, switches and routers IPAM solutions Software Define Networking (SDN) Sysadmin skillset Ansible scripting It would be nice if you also had: Red Hat OpenShift (preferred) or VMware Kubernetes application deployment GCP (preferred) or Public Cloud GitLab, Jenkins, Artifactory API / script development As part of our team, you will: Supporting network equipment, including routers, proxy servers, switches, DNS, and DHCP Design and implement new network solutions and/or improve the efficiency of current networks Help maintain our infrastructure, including dual-stack network design and management, dynamic routing protocols, and load balancing Implement Firewall rules

(s): 4 Duration: 10 Weeks EDUCATIONAL RECOMMENDATIONS Currently a candidate for a PhD in Computer Science, Computer Systems Engineering, Math, Artificial Intelligence, or related field at an accredited school in the USA. Expertise in deep learning fundamentals, including large language models and agent-based systems, and experience with training, deploying, and/or profiling models. Experience in principled systems design and development. Excellent communication skills, with the ability to analyze complex problems and effectively communicate findings. Strong publication record in top-tier AI and systems conferences. It would be nice if you also had: We encourage applications from candidates who have a strong foundation in one or more of the areas below, even if you don't meet every criterion. We value diverse perspectives, innovative thinking, and complementary skills. Agentic AI & Large Language Models (LLMs): Familiarity with large-scale model inference and optimization, as well as experience in LLM reasoning, prompt engineering, and resource-constrained computation. AI Systems Architecture & Optimization: Experience managing GPU or accelerator resources, optimizing performance, and benchmarking across different hardware environments. A solid understanding of AI infrastructure design and inference workflows-such as KV-cache management, batching, and offloading-is beneficial. Compilers & Hardware-Software Co-Design: Knowledge of computational graph representations (e.g., ONNX, MLIR, XLA, TorchScript) and model optimization frameworks (e.g., TensorRT, TVM). Experience working with heterogeneous accelerator ecosystems (e.g., TPUs, AMD ROCm GPUs) or parallelizing compilers is a plus. Distributed, Edge AI & Web3 Computing: Understanding of distributed or edge inference systems (e.g., Ray Serve, DeepSpeed-Inference, vLLM), with familiarity in blockchain technologies, smart contracts, or wireless networking protocols (Wi-Fi, 3GPP, Bluetooth). Are you passionate about solving problems? As part of our team, you will: Design and implement state-of-the-art AI/ML decentralized systems. Validate and evaluate your implementation in our cutting-edge labs. Interface, explore, and learn from the experts.

(s): 1 Duration: 10 Weeks EDUCATIONAL RECOMMENDATIONS Currently a candidate for a PhD in Electrical engineering, Mathematics, Computer Science, or a related field with an accredited school in the USA. Strong analytical skills Clear written and spoken communication skills Ability to carry out self-directed research It is very useful to have a good background in Wireless communication theory Convex optimization and related topics High-level programming languages (Python and/or MATLAB) Modern machine learning methods Machine learning packages (Pytorch, TensorFlow, etc.) Published research in scientific conferences or journals You will join our research team to contribute to high-quality foundational studies and support the translation of research insights into practical solutions used across diverse Nokia applications. Throughout the internship, you will engage in exploratory work, collaborate with experienced researchers, and participate in research exploring the opportunities and limitations of using learning techniques in communication applications. As an intern, you will be expected to: Work with a mentor or mentors to solve a research problem Meet regularly with your mentor to review progress and work on the problem. Digest research literature, and relate it to the problem at hand. Carry out a thorough, detailed results or simulation-based experiments

Defense Software Test & AI Intern (s): 2 Duration: 10 weeks internship EDUCATIONAL RECOMMENDATIONS Actively pursuing a Bachelor's or master's degree in computer science, Computer Engineering, Electrical Engineering, or a related field at an accredited university in the U.S. Note: This role will not be offering sponsorship or relocation Familiarity with Python, C++, Java, or other scripting/programming languages. Experience with relevant AI tools and concepts. Experience with Linux, containers (Docker, Kubernetes), and virtualization technologies. Understanding of telecom network architecture, protocols, and RF principles. Exposure to RF instrumentation and calibration techniques. Excellent communication and detailed skills. Analyse feature specifications and develop test cases. Leverage AI for improving our test capabilities. Set up, configure, and maintain lab/test environments. Execute and automate test plans using scripting tools (e.g., Python). Diagnose and reproduce complex system issues. Support test automation, vulnerability scanning, and reporting. Assist in the creation of product demos for internal and external audiences. Adhere to quality assurance practices and contribute to process improvement.