Embedded Network Optimization Engineer

Job Title: Embedded Network Optimization Engineer (Multi-OEM Support – Samsung, Nokia, Ericsson) Position Overview We are seeking a highly skilled Embedded Network Optimization Engineer to work directly with mobile network operators, providing end-to-end troubleshooting, performance tuning, and optimization for device-to-network interaction across multi-vendor RAN environments (Samsung, Nokia, and Ericsson). This role is embedded within the operator’s operational workflow to ensure rapid resolution of device-related issues, chipset-level insights, and vendor-agnostic optimization. You will act as the primary bridge between the operator’s engineering teams, Qualcomm R&D, and OEM vendor support teams. Key ResponsibilitiesTroubleshooting & RCA Serve as the primary technical interface for device-related network performance issues across Samsung, Nokia, and Ericsson RAN environments. Collect and analyze device modem logs, chipset traces, and network KPIs to identify and isolate root causes. Replicate and simulate issues in lab environments when needed. Network Optimization Analyze and optimize RAN parameters (handover thresholds, power control, carrier aggregation settings, VoLTE/VoNR configurations) to improve device performance. Propose vendor-specific parameter adjustments to maximize interoperability between devices and network equipment. Support mobility, throughput, and coverage optimization across LTE, 5G NSA, 5G SA, and emerging technologies. Multi-OEM Coordination Liaise with Samsung, Nokia, and Ericsson support teams to align parameter changes, firmware updates, and network feature rollouts. Understand OEM-specific RAN software versions, feature sets, and known issues impacting device performance. Track and document vendor-specific fixes and monitor their implementation. Firmware & Feature Validation Assist in validating chipset firmware builds before commercial deployment. Support operator trials for new RAN features (VoNR, 5G NR CA, DSS, satellite connectivity, etc.). Conduct regression testing post-software or parameter changes. Operator Integration Participate in operator troubleshooting calls, optimization workshops, and incident response reviews. Provide real-time recommendations during major network events and escalations. Maintain strong working relationships with operator engineering, field, and NOC teams. Reporting & Documentation Generate weekly and monthly performance reports highlighting trends, RCA summaries, and recommendations. Maintain a knowledge base of recurring issues, fixes, and optimization scripts. Document OEM-specific troubleshooting workflows for internal use. Training & Enablement Train operator engineers on Qualcomm diagnostic tools (QXDM, QCAT) and OEM vendor tools. Share best practices for multi-vendor network optimization and device log interpretation. Required Qualifications Bachelor’s degree in Electrical Engineering, Telecommunications, or related field (Master’s preferred). 5+ years of experience in RAN optimization, network performance, or device interoperability support. Hands-on experience with Samsung, Nokia, and Ericsson RAN systems, parameters, and troubleshooting tools. Strong knowledge of LTE, 5G NSA/SA, VoLTE, VoNR, and related call flows. Familiarity with Qualcomm chipset logging and analysis tools. Proven ability to coordinate between operators, OEM vendors, and chipset manufacturers. Strong problem-solving skills, with the ability to analyze complex, multi-variable performance issues. Preferred Skills OEM vendor certification in Nokia NetAct, Ericsson OSS, or Samsung ENM. Field experience with drive testing and walk testing (e.g., TEMS, Nemo, IBwave). Understanding of RF propagation, interference management, and spectrum utilization. Experience with lab simulations and network feature validation. Strong reporting and presentation skills. Work Environment Hybrid role with a mix of on-site operator presence and remote analysis. May require occasional travel to operator locations, vendor labs, or field test sites. Fast-paced environment requiring close collaboration with cross-functional teams.