Applied R&D Engineer 2 - IVT

Integration, Verification & Testing (IVT) comprises the integration of SW and / or HW or system components into system, platform, product releases, or networks and verifies the integrated entity or network against particular requirements and specifications. Covers setup and maintenance of laboratory and associated equipment, tools, and devices.
 

• Develop and maintain automation scripts for regression, feature, and performance testing across networking platforms.
• Enhance and optimize test coverage by working with automation frameworks such as Robot Framework, Python, and PyTest.
• Maintain and manage multiple regression batches to ensure continuous and reliable test execution.
• Contribute to feature testing of Layer 2/3 Forwarding protocols, validating end‑to‑end service behaviour across networking devices.
• Perform detailed debugging using network tools such as Wireshark, packet capture, and log analysis to identify root causes across device and network layers.
• Collaborate cross‑functionally with engineering teams to ensure high‑quality software delivery and alignment with telecom standards.

You have:
• Graduate or Master’s degree in Engineering with 3–7 years of experience in testing and analysing high‑performance switching and routing software.
• Strong knowledge of networking protocols, including GPON / XGSPON and various remote management protocols.
• Hands‑on experience in testing routers, gateways, or access points (APs) in large‑scale networking setups.
• Proficiency in automation scripting, with Python strongly preferred.
• Experience working with test frameworks such as Robot Framework and PyTest.
• Strong understanding of networking technologies including TCP/IP, DHCP, DNS, NAT, VPN, MCAST, IPv6, and TR-069.
• Experience with Linux/Unix systems for debugging, analysis, and troubleshooting.
 

It would be nice if you also had:
• Experience with network debugging tools such as Wireshark, iPerf, packet captures, and log analysis frameworks.
• Exposure to performance testing environments or large‑scale system test environments.
• Knowledge of AI‑based tools for enhancing automation and improving test efficiency.