招聘
必备技能
Python
We are looking for a senior Network Optimization Engineer to own radio performance and capacity across complex live 4G/5G networks in Europe. The role focuses on end‑to‑end RAN optimization, advanced troubleshooting, and driving KPI and user experience improvements in live networks.
You will act as a trusted SME for customers and projects, lead technical discussions, contribute to RAN evolution initiatives, and support the adoption of next‑generation technologies such as ORAN, Cloud RAN, vRAN, and Massive MIMO. This is a senior individual contributor role with strong technical and customer impact.
If you have:
- 10+ years of advanced experience in Radio Network Optimization, with strong expertise in 5G and 4G on the latest Nokia SW/HW releases.
- Deep knowledge of at least two RATs, including parameters, features, tuning, KPI frameworks, and RAN troubleshooting methodologies.
- Proven track record of owning complex optimization activities and delivering measurable performance improvements.
- Strong understanding of RAN architecture, radio features, and performance drivers across multilayer and inter-RAT scenarios.
- Hands-on capability with Net Act and radio tools, plus Layer 3 and PCAP/Wireshark analysis.
- Experience with drive test and crowdsourced data, benchmarking, spectrum refarming, 2G/3G sunset strategies, and post-optimization cycles.
- Excellent customer communication skills, comfortable in technical and governance forums, supported by strong reporting and visualization abilities.
- Ability to lead through influence, structure work, and elevate team performance.
Nice to Have:
-
Multivendor RAN experience, for example Ericsson, Samsung or Huawei.
-
Exposure to Cloud RAN environments and advanced analytics platforms.
-
Experience with ORAN ecosystems, Private Networks, Small Cells, DAS, FWA, and advanced antenna systems.
-
Interest or experience in automation, AI, and ML applied to RAN optimization, for example Python workflows, AI-assisted analysis, or self-optimizing network concepts.
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Optimize end-to-end Network, delivering activities for 4G/5G networks, ensuring KPI stability, performance growth, and superior end-user experience.
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Act as SME for assigned customers and projects, leading technical discussions, governance calls, and executive-level updates on radio performance.
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Design and execute traffic, capacity, mobility, neighbor, and carrier aggregation optimization strategies across multiple layers and RATs.
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Perform advanced RAN troubleshooting and root cause analysis using KPIs, Layer 3 logs, PCAPs, drive tests, and feature/parameter correlation.
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Deliver radio audits, benchmarking, and performance assessments, including Umlaut/P3 and regulatory validations.
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Define RAN strategies, recommend feature rollouts, and implement special and mass-event optimization plans.
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Evolve NPO RAN processes, methods, and tools, driving continuous improvement in how optimization is delivered.
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Be able to work with cross-functional teams, R&D, Care, PM, FM, OMS, to resolve complex RAN issues and ensure delivery excellence.
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Deliver using influence, plan activities, delegate tasks within project teams, and mentor junior engineers.
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Contribute to stream-level initiatives, Po Cs, and capability development, staying current on emerging RAN technologies such as ORAN, Cloud RAN, vRAN, Massive MIMO, Small Cells, DAS, FWA, Network slicing and Private 5G.
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关于Nokia

Nokia
PublicNokia Corporation is a Finnish multinational telecommunications, information technology, and consumer electronics corporation, originally established as a pulp mill in 1865.
10,001+
员工数
Espoo
总部位置
$24B
企业估值
评价
3.6
10条评价
工作生活平衡
4.2
薪酬
3.5
企业文化
4.0
职业发展
2.8
管理层
2.5
65%
推荐给朋友
优点
Good work-life balance and flexibility
Supportive and relaxed work environment
Great culture and people
缺点
Frequent layoffs and job security issues
Limited career advancement opportunities
Constant restructuring and leadership changes
薪资范围
28个数据点
Junior/L3
Mid/L4
Junior/L3 · Global 1830 TAC Engineer
1份报告
$141,314
年薪总额
基本工资
$108,703
股票
-
奖金
-
$141,314
$141,314
面试经验
4次面试
难度
3.0
/ 5
时长
14-28周
录用率
25%
体验
正面 50%
中性 25%
负面 25%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
HR Follow-up
5
Offer
常见问题
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
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