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Master Senior System Verification Engineer
About the role
Ericsson's RAN System Verification team in Bangalore, Karnataka, India seeks a Master / Senior System Verification Engineer to verify, troubleshoot, and deliver 5G New Radio (NR) solutions on high-performance General Purpose Processors. Day-to-day work includes providing technical leadership for end-to-end system verification of 5G features, analyzing system performance using logs, traces, and KPIs, leading cross-layer investigations across PHY/MAC/RLC/PDCP/IP, performing capacity and performance verification under high-load traffic scenarios, establishing verification methodologies, mentoring engineers, driving CI/CD and AI-assisted verification improvements, and leading customer trials and field issue reproduction. The role requires 8-12+ years of hands-on experience and a Bachelor's or Master's in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
What you’ll do
- Provide technical leadership for end-to-end system verification of 5G features, shaping verification priorities from feature readiness to release in alignment with business strategy and customer outco
- Act as a technical specialist in system performance analysis using logs, traces, and KPIs such as throughput, latency, resource utilization, and QoS/QoE indicators to identify systemic bottlenecks and
- Lead complex, cross-layer investigations across PHY, MAC, RLC, PDCP, and IP, applying advanced root-cause analysis to resolve complex performance and capacity issues
- Perform requirement analysis for feature integration and verification to ensure alignment with customer expectations and network performance objectives
- Perform capacity and performance verification of RAN systems under high-load traffic scenarios comprising Max supported UEs per cell/DU, throughput (DL/UL), control plane capacity and mobility under l
- Establish verification methodologies and quality standards that represent live network scenarios and provide coverage for performance, capacity, Stability and customer experience
- Provide technical direction, coaching, and mentorship to verification engineers and contribute to the development of organizational competence in modern (AI) system verification practices
- Drive continuous improvement of products, verification frameworks, test coverage, automation, CI/CD pipelines, and AI-assisted verification practices, improving efficiency, quality, and time to market
What you’ll bring
- Bachelor's or Master's in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience
- 8-12+ years of hands-on experience in system-level verification, deployment, integration, and troubleshooting of LTE/5G NR baseband and radio systems, including demonstrated technical leadership
- Strong understanding of wireless communication systems (LTE/5G NR), RAN architecture and protocol stack, and 5G NR air-interface technologies
- Demonstrated experience analyzing and troubleshooting performance issues at PHY/MAC layer, including link curve verification, channel-quality assessment, and evaluation under diverse and adverse chann
- Deep expertise of system level KPIs (throughput, latency, resource load, QoS/QoE) and the ability to identify performance bottlenecks
- Experience working with Channel emulators, fading technologies, traffic generation and test tools (for example UE simulators, Viavi, real UEs)
- Advanced Linux skills and solid knowledge of IP routing, switching, and networking
- Demonstrated success in influencing product, architecture, and release decisions through data-driven verification insights and technical judgment
Nice to have
- Exposure to Cloud-Native RAN, O-RAN Architecture
- Experience with commercial UE chipset platform testing (Qualcomm, MediaTek etc) and end-to-end performance validation
- Knowledge of cloud-native principles, containerization, and microservices-based architectures
- Familiarity with AI/ML tooling for test analytics and anomaly detection
- Software development skills, particularly in Java and Python
Skills
Education
Bachelor’s or Master’s in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.