2027 New Graduates - Embedded SW Developer - Transport

Join our Team About This Opportunity Join the Router Platform and Security Development team within PDU Transport in Beijing. You will contribute to the development of Ericsson Router 6000 products, supporting high-performance IP transport solutions for modern mobile networks.

What Will You Do

• Develop, integrate, and bring up Router 6000 Switch and Router products.
• Design, implement, and maintain software features for embedded networking platforms.
• Work in an agile, cross-functional team as software platform developer.
• Participate in feature analysis, software design, coding, code review, unit testing, feature testing, debugging, and product maintenance.
• Develop and test software related to Driver, OAM, IPSec, MacSec and Security.
• Contribute to continuous integration and delivery activities using engineering workflows such as Git, Gerrit, Jenkins, code quality checks, automated builds, smoke testing, and regression testing.
• Apply secure software development practices, including secure coding, static analysis, vulnerability management, and security-oriented testing.
• Explore and apply AI-assisted development approaches, including SPEC driving development, intelligent test generation, code review assistance, issue analysis, and engineering knowledge retrieval.

You will bring

• Master’s degree in Cybersecurity, Telecommunications, Computer Science, Electrical Engineering, or a related field.
• Embedded Linux OS and Linux development environments.
• Strong C/C++ programming skills and a solid understanding of software development fundamentals.
• Understanding of networking technologies and protocols, especially Layer 2/Layer 3 Ethernet switching and routing.
• Familiarity with IP networking, OAM, Chipset Driver, or network security is an advantage.
• Familiarity with Git, Gerrit, Jenkins, CI/CD, automated testing, or software quality tools is preferred.
• Familiarity with AI platforms, RAG systems, vector databases, or AI-assisted software engineering.
• Understanding of AI infrastructure components, including model routing, caching, observability, evaluation, security, and cost optimization.
• Interest in multi-agent systems and large-scale agent orchestration frameworks.
• Strong analytical and problem-solving skills, with the ability to learn quickly and work independently.
• Collaborative spirit, professional integrity, proactive attitude, and positive approach to learning.
• Proficient in spoken and written English.