Network Engineer
Ericsson · Taipei, Taiwan
Telecommunications · 10,001+ employees
About the role
You will design and optimize high-performance wireless networks while leveraging AI to automate complex tuning and resolve quality issues. Additionally, you will act as a bridge between internal teams and customers to lead new wireless technology trials and support business-aligned network performance.
What they look for
Requirements
Candidates must hold a university degree in Engineering and possess a strong understanding of RAN technology including 5G and 4G. Proficiency in Python and experience with wireless network KPIs are highly valued, alongside strong interpersonal skills and a proactive approach to problem-solving.
Full description
Join our Team
About this opportunity
Join our dynamic team at Ericsson as a Network Engineer. Within the Ericsson Taiwan Analytics Team, you will be part of the RAN Network Design & Optimization (NDO) delivery engine, dedicated to pushing the boundaries of network performance.
We are seeking ambitious talent to join our new Standalone NR network & AI-driven optimization initiative. You will play a pivotal role in automating complex network tuning and spearheading the transformation of our global service delivery through cutting-edge AI.
What you will do
- Design & Evaluation: Analyze customer requirements and design solutions for high-performance wireless networks.
- KPI & Problem Investigation: Provide analysis of KPIs and perform problem investigation to resolve quality issues, including supporting VIP troubleshooting and performance improvement.
- Coordination: Act as a bridge between internal Ericsson teams and the customer for planning and optimization tasks.
- Technology Pioneer: Lead new wireless technology trials (including 5G SA, NS and 4G new releases) such as trial and feature validations.
- Transformation & AI: Deconstruct complex problems and rebuild them through an AI lens, translating massive datasets into actionable network strategies.
- Technical Support: Engage in pre-sales technical support and parameter optimization to align network performance with business needs.
What You will bring
Education & Technical Foundation
- University degree in Engineering or equivalent.
- Strong understanding of RAN technology (5G SA, NSA & 4G).
- Demonstrated experience in the Telecom industry with a natural approach to complex issues through structured, logical thinking.
- Familiarity with wireless network KPIs and performance optimization techniques.
- Proficiency in Coding (Python), IT & AI skills is a significant plus.
Personal Attributes
- Communication Excellence: Strong interpersonal and presentation skills with the ability to bridge the gap between technical data and business impact.
- Proactive Learner: Demonstrated ambition to master new technologies, industry trends, and self-manage in a matrix organization.
- Growth Orientation: A self-starter motivated by high-stakes challenges and persuading stakeholders to adopt smarter ways of working.
- Language: Fluent in both English and Chinese.
Why join Ericsson?At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.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: Taiwan (TW) || Taipei
Req ID: 783901
