Qualcomm 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 case development from feature requirements and use case analysis
• Working with development team for regression report triage, bug analysis and issue tracking
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Ideal candidates for this position will demonstrate the following:
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering or related area
• Strong problem solving and debugging skills
• Knowledge of SW development cycle and testing methodologies
• Good communication skills and teamwork spirit
Other desired qualifications:
• Experience with Python, Shell and other scripting language
• Experience with Jenkins and other CI tools
• Experience with embedded system programming and/or testing
• Knowledge of ML framework such as Tensorflow, Caffe, PyTorch
• Experience with C/C++ programming
• Experience with Linux OS working environment
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.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
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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