Senior AI-Driven Integration & Validation Engineer
at Parallelwireless
Kfar Saba, senior, 4+ years
posted 03 Nov 2026
- Kibana
- Open RAN
- DNS
- Prometheus
- HTTP
- JSON
- Grafana
- YAML
- PyTest
- 5G
- 4G
- Linux
- Docker
- Elasticsearch
- HTTPS
- TCP/IP
- REST APIs
- Python
- Kubernetes
About the role
Posted: 2026-11-03
Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values.
At Parallel Wireless, we're redefining mobile networks by delivering cloud-native Open RAN solutions that enable operators worldwide to build smarter, more flexible, and cost-effective networks. Our Integration & Validation team plays a critical role in ensuring that complex distributed systems work seamlessly together before reaching our customers. We don't just verify functionality—we develop a deep understanding of how the entire system behaves, investigate complex technical challenges, and continuously improve the quality and reliability of our products. We're looking for engineers who are curious, innovative, and passionate about solving difficult system-level problems while embracing AI as part of modern engineering.
What you would do
- Design and execute end-to-end integration and validation scenarios across multiple product domains.
- Validate new features and ensure seamless interoperability between distributed system components.
- Investigate complex cross-component issues through deep technical analysis and root-cause investigation.
- Analyze application and system logs to identify issues and drive resolution.
- Develop a strong understanding of system architecture, data flows, and interactions between services.
- Collaborate closely with Software Engineers, Architects, Product Managers, and cross-functional engineering teams.
- Participate in feature planning by providing an integration and validation perspective early in the development lifecycle.
- Continuously improve validation methodologies, engineering processes, and overall product quality.
- Leverage AI tools to accelerate troubleshooting, technical research, documentation, and engineering productivity.
- Challenge existing approaches and introduce innovative ideas that improve engineering efficiency and product quality
What you should have - 4+ years of experience in System Integration, System Validation, or Software Quality Engineering.
Read from jobs.lever.co, last seen 1d ago.