About this opportunity:
Ericsson's Early Career Program is an 18-month journey for recent graduates and candidates with up to five years of relevant experience. Across three rotations, including an international placement and market exposure, you'll tackle challenges that matter and work alongside people who expect you to contribute, question, and move things forward.
The Innovate track is designed for people driven by building what's next. You'll rotate across Research, Product Development, Data, and AI, contributing to solutions that don't just support the business but move it forward.
We are looking for a Data & AI Engineer to strengthen strategic capabilities in data, AI, and intelligent engineering that are critical to future business success. This role focuses on applying these capabilities to Radio product development and R&D workflows.
This isn't a programme where you sit on the sidelines. From day one, you're hired into a role, trusted to contribute, supported to grow, and expected to make an impact. Find out more about the Early Career Program .
Your journey within the Innovate Program will start as a Data & AI Engineer, supporting AI-enabled engineering and data solutions for Radio R&D.
What you will do:
- Apply data and AI to practical Radio product-development challenges, improving engineering productivity, knowledge management, automation, and data-driven decision-making.
- Help build and evaluate AI-powered tools, agents, and machine-learning solutions-including Generative AI and RAG-for Radio R&D workflows across software, hardware, and system engineering.
- Collect, process, and analyze engineering data; support data pipelines and analytics platforms; and develop dashboards that give teams actionable insights while maintaining data quality and governance.
- Collaborate with Radio domain experts to identify use cases and contribute to AI-enabled improvements in engineering analysis, design, testing, and knowledge discovery for 5G and future 6G.
- Share findings with the team and continue developing your expertise in AI, data engineering, and Radio technologies.
Job Description
You will bring:
We provide a platform; what you contribute and the impact you drive is what matters. To make the most of it, don't wait to be told. Lean in, ask questions, and take responsibility for your work and career. We value people who challenge conventional approaches and bring a genuine interest in data, AI, and applying intelligent engineering to Radio product development.
In addition, you have:
- A master's degree in Computer Science, Artificial Intelligence, Data Science, Wireless Communications, Software Engineering, Automation, Electrical Engineering, Mathematics, Statistics, or a related field
- Basic programming skills in Python, Java, C++, or similar languages, and an understanding of data structures, algorithms, and software engineering fundamentals
- Knowledge of Machine Learning fundamentals and data analytics techniques
- Basic understanding of Linux/Unix environments
- Hands-on experience or a strong interest in Large Language Models, Generative AI, AI Agents, and Retrieval-Augmented Generation (RAG); familiarity with platforms or frameworks such as OpenAI, Azure AI, LangChain, Semantic Kernel, MCP, or similar ecosystems is highly desirable
- Basic understanding of wireless communications, telecommunications networks, or Radio Access Network (RAN) technologies is a plus
- Strong curiosity about AI, data, and emerging technologies, with excellent analytical and problem-solving skills
- A self-driven, proactive, and collaborative approach, with clear communication skills and good written and spoken English
- A willingness to experiment, innovate, and continuously learn
Skills Required
- Master's degree in Computer Science, Artificial Intelligence, Data Science, Wireless Communications, Software Engineering, Automation, Electrical Engineering, Mathematics, Statistics, or a related field
- Basic programming skills in Python, Java, C++, or similar languages
- Understanding of data structures, algorithms, and software engineering fundamentals
- Knowledge of machine learning fundamentals and data analytics techniques
- Basic understanding of Linux/Unix environments
- Hands-on experience or strong interest in Large Language Models, Generative AI, AI Agents, and Retrieval-Augmented Generation
- Familiarity with OpenAI, Azure AI, LangChain, Semantic Kernel, MCP, or similar platforms and frameworks
- Understanding of wireless communications, telecommunications networks, or Radio Access Network technologies
- Strong curiosity about AI, data, and emerging technologies
- Excellent analytical and problem-solving skills
- Self-driven, proactive, and collaborative approach
- Clear communication skills and good written and spoken English
- Willingness to experiment, innovate, and continuously learn
What the Team is Saying
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Ericsson Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as broad and reliable, with multiple medical plan choices, dental/vision, and mental-health/EAP resources. Available descriptions highlight healthcare and disability insurance as consistent strengths.
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Retirement Support — U.S. materials point to an automatic company 401(k) contribution plus matching that can add up to a notably high employer contribution, and some regions also offer pension options. This structure is often cited as a meaningful component of total rewards.
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Leave & Time Off Breadth — Time-off programs are characterized as generous, with sizable vacation allowances, paid holidays, sick time, volunteer time, and strong parental leave in some locations. PTO is frequently highlighted as a standout element of the package.
Ericsson Insights
What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
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Ericsson Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Ericsson adopts a hybrid work model globally because we know balance matters. Sometimes things are better in real life. Other times we can be more productive at home. Our hybrid approach gives you the best of both worlds.
