[MEX] Senior Systems Engineer (Wireless Industry)
Quick Summary
Do you enjoy solving complex problems at the intersection of wireless communications, data analysis, and machine learning? Do you want to work on real-world LTE and 5G networks used by top mobile operators globally?
Experience with RAN vendors (Nokia, Ericsson, Huawei, Samsung) Exposure to machine learning / AI applied to telecom or data analysis Experience with NoSQL databases (MongoDB, InfluxDB) Familiarity with cloud environments, distributed systems, or…
Do you enjoy solving complex problems at the intersection of wireless communications, data analysis, and machine learning? Do you want to work on real-world LTE and 5G networks used by top mobile operators globally?
Responsibilities
~1 min read- →Design and develop algorithms for LTE / 5G network analysis and optimization
- →Analyze RAN performance data (PM counters, KPIs) using Python (Pandas, NumPy)
- →Contribute to AI/ML-driven network analytics and feature development
- →Translate wireless network behavior into product features
- →Evaluate performance of new features in lab and live operator environments
- →Collaborate with software engineering teams to implement scalable solutions
- →Create technical documentation, reports, and research insights
- →Apply critical thinking and problem-solving to complex RF and data challenges
- PhD, Master’s, or Bachelor’s in Electrical Engineering, Telecommunications, Mathematics, or related field
- We welcome candidates with strong academic backgrounds (e.g., PhD) even if they have limited industry experience
Nice to Have
~1 min read- Experience with RAN vendors (Nokia, Ericsson, Huawei, Samsung)
- Exposure to machine learning / AI applied to telecom or data analysis
- Experience with NoSQL databases (MongoDB, InfluxDB)
- Familiarity with cloud environments, distributed systems, or microservices
What We Offer
~1 min readReady to build the future of AI-driven wireless networks? Apply now.
Location & Eligibility
Listing Details
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- May 6, 2026
Signal breakdown
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