Sr. Engineer/Tech Lead, QA

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.