Lead Software Test Framework Engineer - Machine Learning Engineering

Company:

Qualcomm Canada ULC

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

QUALCOMM is the world's leading developer of next-generation wireless and multimedia technology. QUALCOMM is committed to building a world-class organization that will lead the industry in multimedia technology.

Do you ever wonder when will connected devices become thinking devices? Be part of the group that is working on technology that will bring “Cognition” to all connected devices: That means devices that don’t just think, but instinctively react to their surroundings.   New Position

We are searching for a Software Test Framework Engineer Lead 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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