Ciena Internships - 62 jobs

Digital Predistortion Intern Duration: 10 Weeks Education Recommendations Currently seeking a candidate pursuing a B.S. or M.S. degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field from an accredited college or university in the U.S. The candidate must be enrolled as a full-time student for Fall 2026 and have an overall GPA of 3.0/4.0 or higher. Basic knowledge of digital signal processing and wireless communication systems. Familiarity with Python, C++, or similar programming languages. Comfortable using Microsoft Office applications (Word, Excel) for documentation and reporting. Ability to learn and operate lab equipment such as oscilloscopes and spectrum analyzers. Strong analytical and problem-solving skills with attention to detail. It would be nice if you had: Previous lab or project experience in digital signal processing. Hands-on experience with test equipment (digital oscilloscopes, signal analyzers). Understanding of radio performance measurement and data analysis. Measure radio performance and document test results with analysis. Assist in software coding (Python, C++, etc.) for testing and automation. Conduct research and support testing of wireless communication systems. Use lab equipment such as oscilloscopes and spectrum analyzers.

Photonic Test & Characterization Co-Op (s): 3 Duration: 4 Months EDUCATIONAL RECOMMENDATIONS Currently enrolled in a U.S.-based accredited university pursuing an M.S. or Ph.D. in Electrical Engineering, Physics, Applied Physics, or a related quantitative field . Hands-on lab experience with optical testing, fiber-to-chip coupling, and design verification Programming skills in Python or C/C++ Familiarity with optics simulation tools such as Lumerical Preferred Skills: Experience in photonic integrated circuit (PIC) design, layout, and modeling Understanding of coherent optics or optical communication systems Experience with high-frequency/RF photonics modeling Familiarity with RF test equipment (e.g., VNAs, spectrum analyzers, AWGs) Characterize active and passive photonic devices and integrated circuits Support test development and analyze measurement data to validate design performance Develop and optimize test approaches for both wafer-level and system-level photonic components Collaborate cross-functionally with design, modeling, and systems teams to co-develop photonic solutions

(s): 1 Duration: 10 Weeks This summer intern position is within the Opto-Electronic Integration Research Group at Bell Labs, where we are pursuing research into AI-assisted links for performance optimization. The intern project will study AI frameworks that can be applied to circuit design, with an aim to demonstrate feasibility with a hardware prototype. Must be enrolled in a PhD program in Electrical Engineering or Computer Science. Knowledge of analog circuit theory, and IC Design in CMOS or SiGe BiCMOS technologies Knowledge of AI/ML Concepts Hands-on experience and expertise in one of the above domains Programming proficiency in Matlab or Python As a part of our team, you will: Explore AI-assisted techniques for optimizing optical and electronic link performance. Study AI frameworks applicable to advanced circuit design. Develop models and algorithms to evaluate feasibility of AI-driven design approaches. Implement and prototype hardware demonstrating key research concepts. Document findings and present results to the Opto-Electronic Integration Research Group.

Number of Positions: 2 Duration: 10 weeks (full-time) 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 2D drawings of 3D CAD parts and assemblies Familiar with machining & tools We are seeking motivated, self-driven undergraduate or graduate students in mechanical and/or thermal analysis engineering. Who wants to gain experience designing enclosures, sheet metal, diecast, injection molded, & heatsink parts. As part of our team, you will help with: Tackle complex design challenges Assist with the assembly team to create assemblies from 2D mechanical drawings Assist with the process and maintenance of the 3D printers Attend team meetings, learn about project methodologies, and collaborate effectively with colleagues. Efficiently complete tasks and responsibilities assigned by a supervisor. Participate in periodic reviews to share updates and incorporate feedback on assigned projects/initiatives Familiar with 3D CAD software such as Creo, SolidWorks or other mechanical design tools

(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

Radio Network Optimization Intern (s): 4 Duration: 10 weeks EDUCATIONAL REQUIREMENTS Currently enrolled in the third, or fourth year of a bachelor's degree or diploma in Computer, Software, Electrical Engineering, Information Technology, Computer Science, or a related field within an accredited school in United States. You have: Strong analytical skills to evaluate and optimize radio network performance. Basic understanding of 4G/5G network architecture, KPIs, and troubleshooting methodologies. Excellent communication, problem-solving, and collaboration skills. It would be nice if you also had: Experience with drive testing and post-processing of network data. Familiarity with scripting languages (e.g., Python, MATLAB) for data analysis and automation. Knowledge of RF planning and optimization principles. A passion for learning and applying new technologies in telecommunications. How the Candidate Will Contribute: Assist in analyzing network performance data to identify optimization opportunities. Support the team in troubleshooting and resolving network issues to improve quality and reliability. Collaborate with engineers to develop and implement optimization strategies for 4G/5G networks. Conduct drive tests and analyze results to evaluate network performance. Prepare detailed reports and presentations on findings and recommendations. What the Candidate Will Learn: Gain hands-on experience with industry-standard tools and technologies for network optimization. Develop a deeper understanding of radio network architecture, KPIs, and performance metrics. Learn best practices for troubleshooting and optimizing 4G/5G networks. Enhance technical and analytical skills through real-world problem-solving. Build teamwork and communication skills by collaborating with experienced professionals.

Project Management Intern (s): 1 Duration: 10 weeks Educational Recommendations: Currently pursuing a degree in Project Management, Business, Engineering, or a related field at an accredited U.S. university. Currently pursuing a degree in Business Analytics, Operations Management, Business Administration, Information Systems, or a related field. Strong analytical and problem-solving skills with attention to detail. Proficiency in Microsoft Excel; experience with PowerPoint and data visualization tools (e.g., Power BI, Tableau) is a plus. Ability to work with large datasets and translate data into actionable insights. Strong written and verbal communication skills. Ability to work independently while collaborating effectively in a team environment Collect, analyze, and interpret business and project data to support PMO operations. Develop and maintain dashboards, reports, and performance metrics for project delivery and resource utilization. Assist with project governance activities, including status reporting, risk tracking, and milestone reviews. Identify and document process improvement opportunities and standardized PMO workflows. Collaborate with cross-functional teams and prepare insights for PMO leadership to drive strategic decisions.

*** 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.

RFIC Design Research Intern (s): 3 Duration: 10 Weeks EDUCATIONAL RECOMMENDATIONS Currently a Ph.D. student in Electrical Engineering or a related field with an accredited school in the USA. Hands-on experience and publications in the design, layout, and testing of ultra-high-speed analog, digital, and/or mixed-signal integrated circuits implemented in nano-scale CMOS and/or SiGe BiCMOS technologies. Experience in high-speed circuit simulation and characterization using Cadence Spectre, Agilent ADS, GoldenGate, and 3D EM simulators. Excellent verbal communication and technical writing skills in English. It would be nice if you also had: Experience in system modeling and system requirement analysis using Matlab or Cadence. Experience in mm-wave testing and characterization using a network analyzer, spectrum analyzer, high-speed oscilloscope, etc. As part of our team, you will: Perform advanced research in the architecture, design, and characterization of ultra-high frequency (up to near-THz) and ultra-broadband integrated circuits for wireless and wireline applications. Investigate and implement high-performance integrated wireless and optical transceivers in silicon-based nano-scale semiconductor technologies. Work directly with other Bell Labs researchers to define novel architecture, assess system functionality, design high-performance integrated circuits, simulate, layout, and characterize state-of-the-art ICs operating in the mm-Wave frequencies.

(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.

(s): 2 Duration: 10 Weeks Education Recommendations Eligible candidates should currently be pursuing a Master's or Ph.D. in Computer Science, Computer Engineering, or a related field with an accredited school in the US. We are looking for students with the following background and skillset. Advanced AI/ML systems with a focus on next-generation model training. Building and optimizing LLM-based systems. Strong programming ability in Python; experience with C++, Go, or Java is a plus. Solid fundamentals in computer systems, networking, and Linux/Unix environments. Experience with PyTorch and modern ML tooling; familiarity with HuggingFace ecosystem. Understanding of deep learning, specifically Transformer architectures. Exposure to distributed systems, containers, and orchestration tools (Docker, Kubernetes). Ability to design experiments, analyze performance, and debug complex system interactions. Experience with vLLM, SGLang, TGI, TensorRT-LLM, llama.cpp, DeepSpeed, or Ray The selected candidate will have the opportunity to contribute to a Machine Learning Operations (MLOps) platform, which supports state-of-the-art training and inference features with a focus on sustainable MLOps practices. The selected candidate will have the opportunity to contribute to a GenAI and AI/ML systems. The selected candidates will work on: Advanced AI/ML systems with a focus on next-generation model training, high-performance inference, and intelligent workload orchestration across heterogeneous compute environments. Building and optimizing LLM-based systems, designing distributed inference workflows across cloud, edge, RAN, or vehicular platforms. Exploring how workload characteristics, model behavior, and system conditions influence latency, throughput, and efficiency. Contribute to experimental prototypes, performance analysis, and cross-cluster or multi-tier execution frameworks that support emerging AI applications. Reliability, observability, and interpretability aspects of AI-enabled network operations, including system modeling and inference-time interventions for multimodal transformers. Collaborate with experienced researchers to investigate real-world constraints such as resource heterogeneity, network dynamics, mobility, and performance variability-helping shape platforms that deliver robust, responsive, and efficient AI services.

(s): 1 Duration: 10 Weeks Education Recommendations: Currently a candidate pursuing a PhD or Master's degree in Computer Science, Communications Engineering, Electrical Engineering, or a related field with an accredited school in the US. Strong programming skills: e.g., Python, C++, and similar Knowledge of communication networks Knowledge of cloud computing, e.g., tools like Kubernetes and Docker Nice to have: Experience with programming switches and network interface cards for custom functionality Experience with training and inference of large language models Knowledge of packet and optical transport networks An understanding of AI/ML methodologies As part of our team, you will: Work with members of the Bell labs Network Architecture Research team Define and implement software that solves cloud and networking problems Implement proof of concept demonstrations Leverage open-source and cloud software solutions

(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

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.

Number of Positions: 4 Duration: 10 weeks (Full-time) Dates: June 2026 - August 2026 EDUCATIONAL RECOMMENDATIONS Currently a candidate for a bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field with an accredited school in the US. Proficiency in one or more Programming and/or Scripting languages. (i.e. C, C++, Python, Java, BASH) Interest in working closely with Hardware engineers and designing and developing low level software to support their efforts. Interest in experiencing the development of diagnostic software used for the bringup, validation and manufacturing of new Hardware It would be nice if you also had: Exposure to Computer Architecture concepts. Experience in Designing software solutions from Planning to implementation to testing in Academic projects. Work closely with Hardware and Firmware engineers to: Develop Diagnostic software for use with Hardware bringup, validation and manufacturing. Develop tools for use in Hardware bringup and verification Enhance the infrastructure used by the Bringup and diagnostics team. Learn the role bring-up and diagnostics software plays in new Hardware development and manufacturing. All tools and infrastructure in the diagnostics team is developed in Python and C++

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.

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: 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