Company:
Qualcomm Canada ULC
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
General Summary:
Today, more intelligence is moving to end devices, and mobile is becoming the pervasive AI platform. Building on the foundation of smartphone and the scale of mobile, Qualcomm envisions 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.
AI’s ability to solve complex problems across multiple domains is transformative. Here in the machine learning software group, we are building highly optimized and performant on-device AI solutions. We combine high performance software with cutting edge hardware to enable AI inference on mobile, automotive, IoT and XR. 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 Qualcomm AI Engines which includes Qualcomm AI Runtime, Snapdragon Neural Processing Engine. We develop new tools and SDKs to extend our AI solutions into industry leading customer use cases.
Responsibilities:
- Testing Apps and framework development for Qualcomm AI Software stacks and their validation
- Maintain and improve AISW automation and CI framework
- Test case development for feature requirements and use case analysis
- Working with development and partner teams for customer issue, regression triage, analysis and issue tracking maintaining cross functional collaboration
Minimum Qualifications:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering or related area
- Strong problem solving and debugging skills
- 1-3 years’ experience with Python, C++, and scripting languages.
- Understanding of software development lifecycle and testing methodologies.
- Strong communication and analytical abilities, with a collaborative mindset.
Preferred Qualifications:
- Familiarity with embedded systems and Linux/Windows environments.
- Experience with CI tools such as Jenkins.
- Knowledge of ML framework such as ONNX, Tensorflow, Caffe, PyTorch
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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