Wireless Systems Test Engineer (WLAN & Edge AI)
Qualcomm · Posted Oct 21
Semiconductor, 5G wireless technology, mobile platform, and AI computing solutions
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About the role
Qualcomm India's Systems Test Engineering group within the Engineering Group validates wireless networking products and embedded edge platforms. The team works across Wi-Fi/WLAN feature validation, functional and system-level testing, and AI/ML applications running on embedded devices and edge platforms. This role designs and executes WLAN test plans, builds Python-based automation and log-analysis tooling, and validates AI-enabled networking features such as traffic classification, parental control, and edge AI inference.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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.
- 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.
- 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.
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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Qualcomm
Qualcomm is a global leader in the development and commercialization of foundational technologies for the wireless industry, including mobile processors, 5G, and on-device artificial intelligence. The company designs and markets digital communications products, semiconductor solutions, and system software used globally across smartphones, automotive solutions, IoT devices, and computing systems. Through extensive R&D and intellectual property licensing, Qualcomm powers a highly interconnected and smarter world.
- Industry
- Semiconductors
- Company size
- 50000+ employees
- Founded
- 1985
- Location
- San Diego, California, USA
- Funding stage
- Public Company
Funding
Public Company · $53M raised
- 2018-11-01Grant
Leadership
President and Chief Executive Officer
Chief Financial Officer and Chief Operating Officer
James H. Thompson
Chief Technology Officer
Chief Marketing Officer
Ann Chaplin
General Counsel and Corporate Secretary
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