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Machine Learning Engineer (University Grad)

Qualcomm CDMA Technologies GmbH

This is a Contract position in Acheson, AB posted December 4, 2022.

Company: Qualcomm Canada ULC Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Before there were smartphones or smart cities, before autonomous cars or 360 virtual reality videos, there was our technology.

Headquartered in San Diego, for over 30 years Qualcomm’s inventions have inspired others to make the impossible, possible.

From 5G to artificial intelligence, IoT to automotive and extended reality applications, Qualcomm is inventing the technologies of an intelligently connected future, spearheading research efforts for the next global wireless standard, and collaborating with industry leaders in the wireless value chain to make this future a commercial reality.

AI is transforming everything.

We are making AI ubiquitous.

Today, more intelligence is moving to edge devices, and mobile is becoming the pervasive AI platform.

Building on the smartphone foundation and the scale of mobile, Qualcomm is making AI ubiquitous
– expanding beyond mobile and powering other end devices, machines, vehicles, and things.

We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, and 5G to make this a reality.

We are searching for talented and passionate engineers to develop and deliver Qualcomm’s AI/ML solutions across multiple domains to start innovating with them as early as January 2023.

When applying, you can specify which technical track(s) you would like to be considered for.

By applying here, you are expressing interest in one of our many Qualcomm engineering positions.

It is important to note that this is not a job posting for a specific role.

We will review resumes on an ongoing basis, and a recruiter may reach out to you.

Job Overview Multiple teams developing several technologies are hiring at our Markham, Ontario site: AI/ML Systems : Develop Compiler toolchain to enhance the performance of the ML compiler and contribute to future evolution of the Qualcomm’s AI SW/HW solutions.

AI/ML Apps : AI/ML Application/Use-Case Architect and system software developer and test engineers for low power, high performance machine learning application development and analysis.

Embedded AI System Software : Develop toolchain and software stack for low power embedded neural engine on Snapdragon.

Enable and optimize the performance of voice assistant and always-on camera use cases.

Minimum Qualifications Graduating with a bachelor’s or master’s degree in computer science, engineering, information systems, or a related field no later than July 2023.

1 years’ experience with Python, C/C++, computer and hardware architecture Successful candidates will have experience in one or more of the following Software Engineering technical tracks: AI/ML SYSTEM Ability to code in C++ and Python Strong software engineering principles are essential Strong background in algorithm development and analysis Exposure to front-end ML frameworks (i.e.

TensorFlow, PyTorch, ONNX) Exposure so SW and/or HW verification/validation flows.

Experience in compiler design and development is an asset.

Knowledge of different classes of ML models (i.e.

CNN, RNN, Transformers, etc.) is an asset AI/ML APPS Machine learning algorithms; Image and video processing and computer vision algorithms; Application/Use-Case Architect – understanding of / experiences with: Operating systems concepts such as synchronization and memory management; Computer architecture Hardware architecture Machine learning frameworks like TensorFlow and Pytorch Strong motivation and capabilities in learning new subjects especially in the field of artificial intelligence Test Engineer: Strong Linux programming skills with experience in C/C++, scripting languages (Perl/Python), and build systems Strong knowledge of configuring and deploying automation servers (Jenkins) Strong knowledge of CD/CI and designing CI workflow Strong problem-solving skills Experience working with source control management (Github/Gerrit/Perforce) Experience working with containers (Docker, Kubernetes) a plus Knowledge of the ARM development environment a plus Knowledge of embedded development a plus Knowledge of Java/Android and open source is a plus EMBEDDED AI SYSTEM SOFTWARE Excellent programming capability with C/C++ Strong software design, development, and debugging skills Optimized Linux, Android, or embedded software development experience Optimization of algebraic operations in algorithms for HW cores Experience on compiler design and development is a big plus Knowledge on deep learning and popular frameworks is an asset Minimum Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.

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 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 .