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.