Company:Qualcomm Canada ULC
Job Area:Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:We are searching for a
Software Test Framework EngineerLead to be a part of the QCT AI Proc Solution team responsible for design and integration of leading edge technologies in the area of Image post processing, 360 Video, Virtual Reality, Computational Imaging, Machine learning, Deep Convolution Networks, Computer Vision, Drones, IoT, Driverless cars and many more.
KEY RESPONSIBILITIES:
- Create, maintain, and update a test infrastructure that helps facilitate running various regression tests on the Qualcomm Snapdragon platform, validating core functionality and corner cases to verify performance and stability.
- Consolidate tests between the various groups within the team, running automated and on-demand tests, generating reports, and helping to analyze results.
- Debugging, with the ability to determine root cause and help solve any issues found.
- Work with multiple teams to determine, understand, and implement feature requirements and resolve technical issues.
Requirements: - 4+ years in C/C++ and scripting languages (Perl/Python)
- Strong communication skills (both verbal and written)
- Knowledge of configuring and deploying automation servers (Jenkins)
- Experience working with containers (Docker, Kubernetes) a plus
- Knowledge of embedded development a plus
- Knowledge of Java/Android a plus
Preferred Qualifications - Excellent verbal, written, and presentation skills.
- Ability to work effectively as part of a team in a fast-paced design environment.
Minimum Qualifications:• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
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