Wireless Systems Test Engineer (WLAN & Edge AI)

Company
Qualcomm India Private Limited
Job Area
Engineering Group, Engineering Group > Systems Test Engineering
General Summary
We are looking for a highly motivated Systems Test Engineer with 4+ years of hands-on experience in wireless networking product validation and functional testing. The ideal candidate should have strong expertise in Wi-Fi feature validation, troubleshooting, and test execution, along with a solid understanding of AI/ML applications running on edge devices.
This role requires strong analytical skills, experience working with embedded networking products, and mandatory proficiency in Python programming for test automation, log analysis, and test tool development.
Key Responsibilities
Design, develop, and execute test plans and test cases for WLAN features and networking products.
Perform functional, regression, interoperability, stability, and system-level testing of wireless solutions.
Validate WLAN features across Wi-Fi standards.
Analyze logs, packet captures, and system traces to identify root causes of failures.
Work closely with development teams to debug and resolve product issues.
Develop and maintain Python-based test scripts, utilities, and automation frameworks.
Validate AI/ML-enabled features running on embedded devices and edge platforms.
Verify integration of AI applications with wireless networking functionality.
Create detailed test reports, bug reports, and quality metrics.
Participate in feature reviews and provide testability feedback during design phases.
Required Qualifications
Bachelor's degree in Computer Science, Electronics, Telecommunications, or a related engineering field.
Minimum 4 years of experience in WLAN QA, system testing, or wireless product validation.
Strong understanding of:
Wi-Fi protocols and standards
AI Application deployments
Hands-on experience with WLAN devices.
Strong debugging and troubleshooting skills.
Strong proficiency in Python.
Experience developing:
Test automation scripts
Log parsing and analysis tools
Device management and monitoring scripts
Familiarity with Python libraries for networking, automation, and data analysis.
AI on Embedded Devices
Understanding of AI/ML applications deployed on embedded or edge-computing platforms.
Experience validating AI-enabled features such as:
Traffic Classification/Prioritization
Intelligent networking features
Parental Control
Edge AI inference applications
Familiarity with AI deployment frameworks on embedded Linux platforms is desirable.
Ability to evaluate performance impacts of AI workloads on networking functionality.
Preferred Qualifications
Experience with Embedded Linux environments.
Knowledge of container technologies and edge computing concepts.
Familiarity with CI/CD pipelines and automated testing workflows.
Basic understanding of AI frameworks such as TensorFlow Lite, ONNX Runtime, or similar edge AI ecosystems.
Experience working in Agile/Scrum environments.
Minimum Qualifications
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Test Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Test Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
Desired Candidate Profile
Strong problem-solving and debugging capabilities.
Ability to work independently and drive feature validation.
Excellent written and verbal communication skills.
Passion for wireless technologies, embedded systems, and emerging AI-driven products.
Ability to collaborate effectively with cross-functional engineering teams.
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Work arrangement
No