Wireless Systems Test Engineer (WLAN & Edge AI)
Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science
In short
Qualcomm sucht einen hochmotivierten Systems Test Engineer mit mindestens 4 Jahren Erfahrung in der Validierung von Wireless-Netzwerkprodukten und funktionalen Tests. Der ideale Kandidat verfügt über Fachkenntnisse in WLAN-Funktionstests, Fehlerbehebung und Testausführung sowie ein fundiertes Verständnis von KI/ML-Anwendungen auf Edge-Geräten. Obligatorisch sind ausgeprägte analytische Fähigkeiten und zwingend erforderliche Python-Kenntnisse für Testautomatisierung, Protokollanalyse und die Entwicklung von Testwerkzeugen.
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.
Requirements
- 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
- Strong understanding of AI Application deployments
- Hands-on experience with WLAN devices.
- Strong debugging and troubleshooting skills.
- Strong proficiency in Python.
- Experience developing test automation scripts
- Experience developing log parsing and analysis tools
- Experience developing 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, and Edge AI inference applications.
Desired Qualifications
- Familiarity with AI deployment frameworks on embedded Linux platforms is desirable.
- 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.
- 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.
Benefits
- Qualcomm is an equal opportunity employer.
- Qualcomm is committed to providing an accessible process for individuals with disabilities.
- Qualcomm is committed to making our workplace accessible for individuals with disabilities.
Skills
PythonWLANWi-FiAI/MLTensorFlow LiteONNX Runtime
#wireless#WLAN#AI#Edge AI#Python#test automation
About Qualcomm
Enabling a world where everyone and everything can be intelligently connected.
Enabling a world where everyone and everything can be intelligently connected.\n\n
Company
QualcommJob Posted
5 hours ago
Employment Type
Full Time
Work mode
On Site
Experience Level
Mid-Senior
Locations
Chennai, India
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant
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