About this opportunity:
We are looking for a RF Test Development Engineer to drive the AI-enabled evolution of our radio product test platform. You will combine hands-on RF test expertise with modern AI/ML techniques to build smarter, faster, and more robust test systems for Ericsson's next-generation radio products. This role sits within the IVC team in Chengdu and collaborates closely with radio designers, test engineers, and global test platform teams.
What you will do:
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Design, develop, and maintain RF test software and algorithms for verification of Ericsson radio products.
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Integrate AI/ML capabilities into the existing RF test platform — including intelligent test result analysis, anomaly detection and automated root-cause identification.
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Build and optimize automated test frameworks that cover data preprocessing, model inference, test execution, and result reporting.
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Develop and verify drivers and control software for RF measurement instruments (signal generators, spectrum analyzers, vector network analyzers, power meters).
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Analyze test system performance data using statistical and AI-driven methods to reduce test time, improve test stability, and minimize false failures.
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Set up and maintain RF test hardware and software in lab environments; support verification designers in prototype debugging and performance evaluation.
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Implement CI/CD pipelines for test software to automate build, test, and deployment processes.
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Stay current with AI advancements (LLMs, ML algorithms, data analytics) and evaluate their applicability to RF test challenges.
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Collaborate with cross-functional teams (Radio Design, verification developer, global TE team) on test specifications, troubleshooting, and new product introduction.
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Participate in technical daily stand-ups, design reviews, and team knowledge-sharing sessions.
The skills you bring:
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Master's degree in Telecommunications, Electrical Engineering, Electronic Information, Computer Science, Software Engineering, or a related field.
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3+ years of experience in RF test development or test system engineering.
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Solid programming skills in JAVA; experience with Python is a plus.
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Experience in database, such as MySQL and MongoDB
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Hands-on experience with RF measurement instruments and conducted/radiated RF measurements.
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Familiarity with AI/ML fundamentals — experience applying machine learning or deep learning to engineering problems (e.g., data-driven test optimization, automated analysis) is strongly preferred.
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Experience with test automation frameworks and CI/CD toolchains (Jenkins, Git, Docker, or equivalent).
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Understanding of analog RF principles, digital signal processing, and measurement uncertainty.
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Strong analytical and problem-solving skills with a data-driven mindset.
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Good communication and teamwork skills; comfortable working in a global, cross-site environment.
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Self-motivated with the ability to quickly learn and apply new technologies.
Nice to have:
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Exposure to large language models (LLMs) or GenAI tools applied to engineering workflows.
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Knowledge of 5G NR or LTE radio architecture.
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: China (CN) || Chengdu
Req ID: 786745