Senior / Mid Wireless Communications Systems Engineer (LTE / 5G / Python / RAN Analytics / AI/ML)
Spectrum Effect
Apply to this jobDo 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?
At Spectrum Effect, we build AI-driven, cloud-native solutions that automate the analysis and optimization of radio access networks (RAN). Our flagship platform, Spectrum-NET, leverages Python, large-scale data processing, and machine learning to deliver actionable insights to mobile operators worldwide. Spectrum-NET is commercially deployed by the wireless industry’s leading operators, performing AI-analysis of more than 8,000,000 NR and LTE cells.
We’re a fast-paced team of disrupters located in Seattle and Monterrey, combining deep RF expertise with modern software engineering (Kubernetes, microservices, cloud).
We are looking for a Wireless Communications Systems Engineer (Senior or Mid-level) to help design and develop data-driven algorithms and analytics for LTE and 5G networks.
This role is ideal for:
- Experienced engineers in RAN / RF optimization with strong Python knowledge, OR
- Candidates with a Master’s or PhD in Electrical Engineering, Telecommunications, or related fields with strong analytical and programming skills
You’ll work on real production networks, collaborating with both wireless experts and software engineers to build scalable, intelligent solutions.
What You’ll Do
- 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
What We’re Looking For
Background in LTE / 5G NR / RAN / RF engineering / wireless communications
Understanding of:
- RF propagation, interference, and network performance
- RAN KPIs and performance management (PM counters)
- Strong skills in Python for data analysis (Pandas, NumPy)
- Ability to work with large datasets and extract insights
- Strong analytical thinking and problem-solving skills
- Good communication skills in English
Education / Experience
- 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
- 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
Why Join Spectrum Effect
- Real-world impact: Your work directly improves live mobile networks used by millions
- Cutting-edge tech: AI/ML + RF + cloud-native systems
- Growth opportunity: Work closely with experts in both telecom and software
- Ownership & visibility: Small team, big impact
- Competitive compensation + stock options
Hybrid role in Monterrey, Mexico
Ready to build the future of AI-driven wireless networks? Apply now.
Summary
Design and develop algorithms for LTE/5G network analysis, optimization, and AI-driven analytics.
Job title
Wireless Communications Systems Engineer
Experience level
mid to senior level
Industry
software
Location requirements
Hybrid role based in Monterrey, Mexico, flexible work options allowed.
Salary
Not specified
Visa sponsorship
H-1B sponsor history
Management role
No
Required skills
Preferred skills
Specializations
Structured locations inferred from the posting.
San Pedro Garza García, Nuevo Leon, Mexico
Monterrey, Nuevo Leon, Mexico