Wireless Systems Test Engineer (Wlan & Edge Ai)
Qualcomm · Chennai · onsite · Posted 57d ago
Undisclosed4–9 yrsfulltimeSourced from
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About this role
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.
- 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.
- 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.
- 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.
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.
Sourced from naukri
Skills
AutomationAgileCI/CD Pipelinesanalytical thinkingautomated testingai frameworksclassificationanalysis toolsAi DeploymentDebugging and troubleshootingContainerdebuggingdeploymentDebugCommunication Skillsdata analysisArtificial Intelligence
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