Staff AI Software Engineer

Qualcomm; Markham; On-site; CAD 131,000 - 182,000; Full time

Job summary

A leading technology firm in Canada is seeking a Machine Learning Engineer to create and implement efficient machine learning techniques. You will work on optimizing AI software stacks for mobile and IoT products, collaborating with diverse teams to enhance performance. Ideal candidates will have 5+ years of industry experience with strong skills in C/C++, Python, and familiarity with frameworks like TensorFlow. This role offers competitive compensation and a dynamic work environment.

Benefits

Competitive discretionary bonus

Potential RSU grants

Comprehensive benefits package

Qualifications

• 5+ years of industry experience in software development.
• Experience with C/C++ and Python programming.
• Familiarity with deep learning frameworks like TensorFlow and PyTorch.

Responsibilities

• Own and deliver key aspects of the AI stack.
• Coordinate development with various teams.
• Develop optimization algorithms for ML operators.

Skills

C/C++

Python

OpenCL

TensorFlow

PyTorch

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Master’s degree in Computer Science, Engineering, or related field

PhD in Computer Science, Engineering, or related field

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 drive 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. We are building highly optimized on-device AI solutions, combining high-performance software with cutting-edge hardware to run deep neural nets on devices such as smartphones, cars, and smart appliances. This position involves building high-performance software for AI engines including Snapdragon Neural Processing Engine, Android NN, and TensorFlow Lite delegate, and developing new tools and SDKs to extend AI solutions into customer use cases.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
• Master’s degree in Computer Science, Engineering, Information Systems, or a related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
• PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

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:

• 5+ 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 interests

Applicants:

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. For accommodations, email [e-mail]. Qualcomm will provide reasonable accommodations to support individuals with disabilities to 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 security and other requirements regarding protection of confidential information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$131,200.00 - $181,200.00

The pay scale reflects the broad minimum to maximum for this job code and location. Salary is one component of total compensation; Qualcomm offers a competitive discretionary bonus program and potential RSU grants. The benefits package supports success at work, at home, and at play. The recruiter will discuss all offerings.