Software Engineer, Machine Learning Compiler (All Levels)

Jobinhalt

Company

Qualcomm Canada ULC

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

Qualcomm Overview

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.

General Summary

Creates advanced machine learning techniques that enable a broad set of technology verticals or designs and extends training or runtime frameworks or model efficiency software tools with new features and optimizations. Models, architects, and develops advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions. These enable the discovery and improvement of state-of-the-art machine learning solutions that has general applicability at functional platform level towards audio, camera, graphics, video, sensors, wireless, and other functionality over various operating systems running on ARM processors and other embedded hardware like DSP/NSP processors, GPU processors that are embedded into mobile, edge, auto, and IOT products, or on data center based systems such as GPUs or dedicated AI hardware. Develops optimized software to enable AI models efficiently deployed on hardware, such as machine learning kernels, compiler tools, or model efficiency tools, to make sure of specific hardware features, and/or working closely with hardware teams for joint design and development. Works with and/or optimize machine learning software frameworks like TensorFlow or PyTorch to efficiently run machine learning algorithms on hardware.

Preferred Qualifications:

• Master’s degree in Computer Science, Engineering, Information Systems, or related field.
• 1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
• 1+ year of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
• 1+ year of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)
• 1+ year of experience using statistics and probability (e.g., conditional probability, Bayes rule).
• 6+ months of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
• 1+ year of experience working in a large matrixed organization.
  
  

Principal Duties And Responsibilities

• Participates in and makes suggestions during design or project reviews, and project meetings.
• Takes responsibility for tasks associated with a small part of a project and completes tasks in a timely manner according to project requirements; seeks assistance when needed to solve problems.
• Executes tasks and solves straightforward issues related to the engineering and management of machine learning data with some guidance from more experienced engineers.
• Develops, adapts, or prototypes machine learning algorithms, models, or frameworks aligned with and motivated by product proposals or roadmaps with some guidance from more experienced engineers.
• Creates and executes methods to optimize new or existing machine learning algorithms, models, kernels, and execution frameworks with some guidance from more experienced engineers.
• Assists with the integration of machine learning algorithms into a platform or product for production; helps resolve issues during implementation with minimal guidance.
• Seeks knowledge of machine learning industry trends, competitors’ products, and advances within area of expertise from publicly available information and research; requires minimal consultation with more experienced engineers and shares this information with others on the team.
  
  

Level Of Responsibility

• Working under close supervision.
• Taking responsibility for own work and making decisions with limited impact; impact of decisions is readily apparent; errors made typically only impact timeline (i.e., require additional time to correct).
• Using verbal and written communication skills to convey basic, routine factual information about day-to-day activities to others who are fully knowledgeable in the subject area.
• Completing most tasks with multiple steps which can be performed in various orders; some planning and prioritization must occur to complete the tasks effectively; mistakes may result in some rework.
• Exercising creativity to draft original documents, imagery, or work products within established guidelines.
• Limited problem solving is required, generally in the nature of troubleshooting simple processes or technology.
  
  

The Responsibilities Of This Role Do Not Include

• Providing supervision/guidance to others.
• Financial accountability (e.g., does not involve budgeting responsibility).
• Influence over key organizational decisions.
• Role in strategic planning.
  
  

Qualcomm is committed to hiring and supporting individuals with disabilities. Although this role has some expected physical activity, an inability to perform one or more of the listed physical requirements should not deter otherwise qualified applicants from applying. We will work with you throughout the application and onboarding process to provide reasonable accommodations. Examples of expected physical activity include: frequently transporting between offices, buildings, and campuses up to ½ mile; frequently transporting and installing equipment up to 5 lbs.; performing tasks at various heights (e.g., standing or sitting); monitoring and utilizing computers and test equipment for more than 6 hours a day; and continuous communication which includes the comprehension of information with colleagues, customers, and vendors both in person and remotely.

Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport

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If you would like more information about this role, please contact Qualcomm Careers.