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.
Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. We are now embedding agentic AI deep into our engineering lifecycle — from feature development to field debugging — to accelerate delivery and raise quality across our 4G/5G stack.
Role Summary
We're looking for a hands-on QA-Dev Engineer / Technical Lead to help redefine how Open RAN software is built and validated — by putting agentic AI at the center of our engineering workflow.
You'll design and run the agent-driven systems that handle the time-intensive parts of RAN engineering: agents that author test plans and scripts against 3GPP specifications, execute 4G/5G test campaigns and continuously monitor lab setups, triage logs and perform root-cause analysis when failures arise, and generate PRVT builds to validate proposed fixes — all at a scale humans alone can't sustain.
What you bring is deep RAN expertise — protocol stack, call flows, end-to-end systems — paired with strong judgment for what AI agents can and cannot be trusted to do. The result: faster fix cycles, broader test coverage, and engineers freed to focus on the hard, novel problems.
What you'll do: AI-Augmented Engineering
- Use agentic AI to author test plans for 4G/5G features aligned with 3GPP specifications, and to generate, refactor, and maintain test scripts in the in-house automation framework
- Design and build end-to-end test setups, including RF setups, that are agent-observable and agent-controllable
- Orchestrate agents to execute regression and feature test suites, triage failures, classify them (product bug / setup issue / flake), and file/update tickets in JIRA with full evidence
- Build agent workflows that continuously monitor test setups (lab health, UE state, simulator status, RF chain), detect anomalies, and self-heal or escalate
- Drive RCT (Regression / Continuous Testing) automation as an AI-driven pipeline rather than a static script suite
- Drive AI-assisted log analysis and use agentic workflows to perform root-cause analysis on field and lab issues — across simulators, vBBU components, and end-to-end systems — tuning prompts, tools, and retrieval pipelines for accuracy on RAN-specific data
- Use agents to generate candidate fixes, evaluate them against design intent, and gate them through human review
- Trigger and supervise agent-generated PRVT builds that compile, package, and deploy fix candidates to validation setups automatically
- Verify Parallel Wireless products for functional, stability, performance, and user-experience aspects, with AI in the loop
- Review code (human-written and agent-written) for correctness, maintainability, and performance; contribute to design documents and architecture discussions
Technical Leadership & Collaboration
- Mentor the QA-Dev team on agentic patterns, prompt engineering, tool integration, and evaluation of AI workflows for engineering tasks
- Define guardrails, eval harnesses, and quality metrics for agent outputs (RCA accuracy, fix-validity rate, test-coverage uplift, false-positive rate on monitoring)
- Collaborate cross-functionally with:
- FQG and RQG QA teams for feature verification and test planning
- PHY and Platform teams for integration and performance tuning
- PLM and System Architecture for product and architectural alignment
- Support customer deployments with expert-level (AI-assisted) troubleshooting
- Drive continuous improvement in tools, agent capabilities, and engineering processes
What you must have: Experience
- Bachelor's or Master's (B.E./B.Tech. or M.E./M.Tech.) in Electronics, Communication, Computer Science, Electrical Engineering, or equivalent
- 8-12+ years in telecom software development and/or QA, with at least 3 years in a technical leadership role
- Hands-on experience in RAN development and/or testing
Core Technical Skills
- Deep understanding of LTE / LTE-A protocol stack and Open RAN architecture; strong grasp of 4G/5G call flows
- Thorough knowledge of 3GPP standards covering PHY, MAC, RLC, PDCP, RRC, S1AP, and X2AP protocols
- Strong programming in C/C++ and scripting in Python and Bash/Shell
- Solid working knowledge of LAN/WAN, WLAN, L2/L3 routing, TCP/IP, and QoS
- Proficiency on Linux/UNIX platforms
- Experience handling and troubleshooting User Equipment (mobiles)
- Experience with virtualization and vRAN deployment models
- Experience with test management and bug-tracking tools (e.g., JIRA)
AI / Agentic Skills (Required for this role)
- Practical experience using LLM-based coding and reasoning agents (e.g., Claude Code, Cursor, Copilot agents, or equivalent) for real engineering work — not just demos
- Understanding of agentic patterns: tool use, multi-step planning, retrieval over logs/specs/code, evaluation loops, and human-in-the-loop gating
- Ability to design, prompt, and debug agent workflows that operate on large RAN log sets, source repos, and CI/CD pipelines
- Comfort integrating agents with internal systems — CI/build systems, log stores, JIRA, lab controllers, test runners
Soft Skills
- Excellent communication, leadership, and problem-solving skills
- High judgement on when to trust, verify, or override AI output — especially on safety- and customer-impacting fixes
- Strong cross-functional collaboration in agile environments
Added Advantage / Preferred
- Experience with 5G NR stack and O-RAN specifications
- Familiarity with Docker, Kubernetes, OpenStack and cloud-native pipelines
- Knowledge of RF signal tests/analysis and hands-on with Signal Analyzers, Signal Generators, Oscilloscopes
- Experience building eval frameworks for LLM/agent outputs in production engineering settings
- Prior experience in customer-facing or support-engineering roles
Education:
- Bachelor's (B.E/B.Tech) or Master's degree (M.E. or M.Tech.) in Electronics/Communication/Computer Science Engineering or equivalent training, education and experience
Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA's Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom ecosystem.Learn more at www.parallelwireless.com.
Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.Parallel Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.
