Sr Staff AI Software Engineer

QUALCOMM, Inc.; Markham; On-site; CAD 110,000 - 170,000; Full time

Job summary

Qualcomm Canada ULC is seeking a Machine Learning Engineer to design and implement state-of-the-art ML techniques and tools for on-device AI solutions. You will collaborate with cross-functional teams to optimize ML operators, runtime, and neural networks on Qualcomm hardware, including Snapdragon AI stack and TensorFlow Lite delegates.

The role emphasizes high-performance software for AI engines, optimization of ML workloads, and contributing to a fast-changing field across mobile, edge, auto,

Qualifications

• 6+ years industry experience in software/AI
• -Note: must include experience with ML systems

Responsibilities

• Own and deliver key aspects of the AI stack and provide solutions that make a difference

Skills

C/C++

Python

Android dev

OpenCL/OpenGL

TensorFlow

PyTorch

NumPy

Linear algebra

Multithreading

Communication

Education

Bachelor's degree in Computer Science/Engineering

Master's degree in Computer Science/Engineering

PhD in Computer Science/Engineering

Tools

OpenCL

OpenGL ES

DSPs

TensorFlow

PyTorch

Android

Embedded Linux

Job description

Company:

Qualcomm Canada ULC

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

AI's ability to solve complex problems across multiple domains is transformative. Here in the artificial intelligence 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. In this position you will build high performance software for AI engines which include Snapdragon Neural Processing Engine, Android NN, and Tensorflow Lite delegate and many more. We develop new tools and SDKs to extend our AI solutions into industry leading customer use cases. New Position

Responsibilities:

• Own and deliver key aspects of the AI stack and provide solutions that make a difference
• Coordinate development with various teams to ensure a cohesive product
• Ability to work with larger teams to push an idea forward
• Development of optimization algorithms for ML operators/layers for the Qualcomm AI SW stack
• Development of AI SW stack framework enhancements for optimal resource usage while running a neural network on Qualcomm hardware
• Development of software tools for profiling, and debugging to support rapid deployment of new neural networks in this fast changing field
• Evaluating and optimizing neural networks runtime performance and accuracy
• Working with customer teams to enable state of the art network models and new AI SW features to meet customer use-cases
• Collaborating with AI hardware and architecture teams to continuously improve our AI solution
• Being an active contributor to the development process to ensure commercial quality software releases
• Participate in software quality process improvements

Ideal candidates will demonstrate the following:

• 6+ years industry experience
• Enjoy software development with excellent programming capability and analytical, development, and debugging skills
• Curiosity and willingness to continually learn new things and propose new ideas
• Experience with C/C++, Python
• C++ work experience
• Android or embedded Linux software development preferred
• Optimizing algorithms for hardware acceleration cores using OpenCL, OpenGL ES, and / or DSPs
• Experience with Python numpy and deep learning frameworks such as TensorFlow, PyTorch
• Background in mathematical operations: linear algebra, fast math libraries, multi-threading and vector instruction sets
• Excellent communication skills (verbal, presentation, written)
• Ability to collaborate across a globally diverse team and multiple interest

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR
• PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

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 [e-mail] 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.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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