Ericsson is leading the evolution toward intelligent, autonomous, and programmable networks. Our innovations in 5G, cloud-native technologies, Artificial Intelligence, and next-generation network platforms are helping shape the future of 6G and transforming how industries and societies connect.
We are now looking for a highly motivated Master Engineer - Systems Analyst to join our Systems, Technology & Architecture (ST&A) organization within the Network Management Engineering Unit.
This role combines expertise in cloud-native systems, AI technologies, telecom network management and network modelling & simulation.
You will work at the intersection of Intelligent Automation, Generative AI & Network Management to help define and deliver the next generation of Ericsson's management platforms as we build toward the 6G era.
If you are passionate about solving complex technical challenges, driving innovation, and working with emerging AI technologies in telecom environments, we would love to hear from you.
What you will do
• Define and analyze product, system, and portfolio requirements for Network Management and Intelligent Automation solutions.• Establish high-level system architectures and technical solutions to drive product implementation.• Collaborate with Architects, Product Managers, Product Owners, development teams, and customers to capture and refine technical requirements.• Lead technical discussions, workshops, studies, and Proof-of-Concept activities using modern cloud-native and AI technologies.• Drive architecture alignment with Ericsson's Network Management, AI, and 6G technology strategy.• Contribute to AI-powered operational and automation solutions using Generative AI, LLMs, and orchestration frameworks.• Drive network modelling, simulation, and rapid experimentation activities to validate architecture decisions and AI-assisted automation strategies.• Produce technical artefacts such as architecture studies, technical assessments, and solution proposals.• Provide technical leadership, mentorship, and guidance across teams and domains.
The Skills you Bring
• Bachelor's or Master's degree in Software Engineering, Computer Science, Telecommunications, Artificial Intelligence, or a related discipline.• Demonstrable technical thought leadership experience in software development, systems analysis, solution architecture, or network management domains.• Strong experience in OSS, BSS, EMS, NMS, OAM, or Network Management systems.• Good understanding of telecom technologies including RAN, Core, Transport, and Service Assurance.• Experience with cloud-native application development using Kubernetes, Docker, AWS, Azure, OpenStack, or VMware.• Strong programming skills in Python, Java, C++, or similar languages.• Experience with Generative AI, Large Language Models (LLMs), RAG, AI agents, prompt engineering, and AI orchestration frameworks such as LangChain or LangFlow.• Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, or similar technologies.• Understanding of NLP, vector databases, semantic search, AI observability, and MLOps concepts.• Experience with network modelling, simulation, synthetic data generation, or digital twin concepts for telecom environments.• Familiarity with standards and open-source initiatives such as 3GPP, TMF, ETSI, ONAP, and O-RAN.• Excellent analytical, communication, and collaboration skills with the ability to work across multicultural and distributed teams.
What we offer
- This is a hybrid position (3 days per week on site) based at our Ireland Athlone Office. More information about Ericsson Athlone: VIDEO: Working at Ericsson Athlone
- A healthy work-life balance (flexible hours, maternity/paternity and parental leave).
- 25 days annual leave + plus 2 company days, family-friendly work environment!
- Multifaceted sports and social club which hosts many sporting (e.g. golf, football, swimming, tennis) and social (e.g. gaming, theatre, movie, nights out) activities.
- Expand your horizons in a rich multicultural environment and collaborate with colleagues from all over the globe.
- Clearly defined career paths improved with inhouse training and financial support for external study.
- Opportunities to travel around the world and work directly with our customers.
- Pension scheme, health insurance, company doctor, life cover and sick pay/income continuance plan.
- Tax saver commuter/bike to work scheme.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Ireland (IE) || Athlone
Job details: Developer
Job Stage: Job Stage 7
Primary Recruiter: Damien Curley
Hiring Manager: John Owens
Skills Required
- Bachelor's or Master's degree in Software Engineering, Computer Science, Telecommunications, AI, or related discipline.
- Technical thought leadership or demonstrable experience in software development, systems analysis, solution architecture, or network management.
- Experience with OSS, BSS, EMS, NMS, OAM, or Network Management systems.
- Good understanding of telecom domains: RAN, Core, Transport, and Service Assurance.
- Experience with cloud-native application development and platforms (Kubernetes, Docker, AWS, Azure, OpenStack, VMware).
- Strong programming skills in Python, Java, C++, or similar languages.
- Experience with Generative AI, Large Language Models (LLMs), RAG, AI agents, and prompt engineering.
- Experience with AI orchestration frameworks such as LangChain or LangFlow.
- Familiarity with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face) and MLOps concepts.
- Understanding of NLP, vector databases, semantic search, and AI observability.
- Experience with network modelling, simulation, synthetic data generation, or digital twin concepts for telecom.
- Familiarity with telecom standards and open-source initiatives (3GPP, TMF, ETSI, ONAP, O-RAN).
- Excellent analytical, communication, and collaboration skills to work across multicultural and distributed teams.
What the Team is Saying
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Ericsson Compensation & Benefits Highlights
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Healthcare Strength — Comprehensive medical, dental, vision, and mental‑health options are positioned as core benefits with multiple plan choices in key markets. Official materials explicitly emphasize healthcare breadth as part of “Life at Ericsson.”
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Retirement Support — 401(k) with employer matching in the U.S., pensions in some regions, and broad access to an ESPP indicate strong long‑term financial support. Company filings and AGM materials describe share programs and post‑employment benefits as ongoing pillars of the package.
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Leave & Time Off Breadth — Paid time off, sick leave, holidays, and paid volunteer time are highlighted alongside generous parental leave in various locations. Time‑off entitlements are presented as a strong component of the total rewards offering.
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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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.
