Qualcomm Senior Engineer – Machine Learning Software Verification in Markham, Ontario
Qualcomm Canada ULC
Engineering Group, Engineering Group > Machine Learning Engineering
Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.
AI’s ability to solve complex problems across multiple domains is transformative. Here in the machine learning software group we are building highly optimized on-device AI solutions. We combine high performance software with cutting edge hardware to run deep neural nets with that little computer you keep in your pocket, that car you drive, or that vacuum cleaner you unleash to clean your house. Come join us if you want to work on bleeding edge AI technology. You will be working in a dynamic and challenging working environment to build and validate high performance software for AI engines which include Snapdragon Neural Processing Engine, Android NN, and Tensorflow Lite delegate. We develop new tools and SDKs to extend our AI solutions into industry leading customer use cases.
Testing framework development for Qualcomm Machine Learning Software stacks validation
Maintain and improve ML SW automation test framework
Test plan and test case development from the feature requirements and use case analysis
Supporting multiple teams for automation testing setup
Working closely with development team for regression report triage, bug analysis and issue tracking
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
PhD in Computer Science, Engineering, Information Systems, or related field.
Ideal candidates for this position will demonstrate:
Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering or related area
3+ years SW testing/development experience
1+ years Python development experience
Strong problem solving and debugging skills
Solid understanding of SW development cycle and testing methodologies
Good communication skills and able to work in multi-task environments
Experience with Linux OS working environment
Other Desired Qualifications
Experience with Android
Experience with shell and other scripting language
Experience with Jenkins and other CI tools
Experience with static code analysis and code coverage tool
Experience with embedded system programming and/or testing
Experience with ML framework such as Tensorflow, Caffe, PyTorch
Experience with C/C++ development
Applicants : If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport
Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.
Qualcomm is an equal opportunity employer and supports workforce diversity.
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If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
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