Senior Technical Lead for Regression Team : 2G/4G/5G Radio Products
Parallelwireless · Bengaluru
- Experience14–15 yrs
- SalaryNot disclosed
- Work modeonsite
- Posted1 Oct 2026
About Parallelwireless
Parallelwireless is hiring in Bengaluru in telecom. This role looks for around 14+ years of experience.
Skills
- Python
- Pytest
- Unittest
- MATLAB
- Radio Conformance Testing
- Kubernetes
- AI/ML
- Shell scripting
- C/C++
- O-RAN
- LTE
- 5G
- MAC/PHY
- RF validation
- Keysight
- Rohde & Schwarz
The role
A technical lead at a wireless radio products company builds Python automation frameworks for RF validation and applies AI/ML to testing workflows. The role also uses Kubernetes and C/C++ to automate conformance and end-to-end scenarios.
Full job description
Role Summary
Technical leader for the Regression team validating 2G, 4G and 5G (including O-RAN) radio products. You will turn the product roadmap into automated test scenarios and make sure radio products meet quality, conformance and schedule commitments.
Key Responsibilities
Automation
Build and maintain Python automation frameworks (Pytest/Unittest), including instrument drivers and measurement applications (Python, MATLAB).
Automate Radio Conformance Test (RCT) and E2E scenarios, integrated with CI/CD and Kubernetes-based execution.
Apply AI/ML to test generation, log analysis, failure triage and anomaly detection.
RF Validation and Debug
Execute 3GPP RCT and characterize RF subsystems (PA, LNA, filters, CFR, DPD) using Keysight or R&S equipment.
Develop measurement workflows for EVM, ACLR, sensitivity, noise figure, spectral emissions and linearity.
Root-cause RF issues with hardware, firmware and software teams, drive silicon bring-up, and give design teams actionable recommendations.
Required Qualifications
14+ years in wireless/radio validation; has led or mentored 6+ engineers and owned a complex test plan end to end.
Strong Python and shell, working C/C++; solid MAC/PHY knowledge of O-RAN, LTE or 5G.
Expertise automating Keysight or R&S RF equipment, and RCT/E2E scenarios.
Familiarity with Kubernetes, and practical experience using AI in testing workflows (must-have).Location: Bangalore , 3 days in a week to available in office.
Relevant Educational background from reputed college/University