Staff AI Software Engineer (C++)

Qualcomm; Markham; On-site; CAD 131,200 - 181,200; Full time

Benefits offered by this job

Competitive annual discretionary bonus

Annual RSU grants

Comprehensive benefits package

Job summary

Qualcomm is seeking a Machine Learning Engineer in Markham, Ontario. This role involves creating and implementing machine learning techniques to enhance AI solutions across diverse technology verticals. Ideal candidates will have a strong programming background, expertise in C++, and a passion for developing high-performance software.

The position offers a competitive salary range from $131,200.00 to $181,200.00, along with an annual bonus program and comprehensive benefits package.

Qualifications

• 5+ years of industry experience in software engineering.
• Strong programming capability in C++ and experience with software development.
• Knowledge of linear algebra and mathematical operations.

Responsibilities

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

Skills

C++ expertise

Software development

Analytical skills

Debugging skills

Python

TensorFlow

PyTorch

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

PhD in Computer Science or related field

Tools

Android development

Embedded Linux

OpenCL

OpenGL ES

Job description

Company

Qualcomm Canada ULC

Job Area

Engineering Group > Machine Learning Engineering

General Summary

Minimum Qualifications:

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

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 mobile, edge, auto, and IoT products through machine learning hardware and software.

AI’s ability to solve complex problems across multiple domains is transformative. We are building highly optimized on-device AI solutions, combining high-performance software with cutting-edge hardware to run deep neural nets on devices ranging from portable phones to cars to home appliances. In this position you will build high-performance software for AI engines—including Snapdragon Neural Processing Engine, Android NN, and TensorFlow Lite delegate—and develop tools and SDKs to extend our AI solutions into industry-leading customer use cases.

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.
• Work with larger teams to push ideas forward.
• Develop optimization algorithms for ML operators/layers for the Qualcomm AI software stack.
• Enhance the AI software stack framework for optimal resource usage while running a neural network on Qualcomm hardware.
• Develop software tools for profiling and debugging to support rapid deployment of new neural networks.
• Evaluate and optimize neural network runtime performance and accuracy.
• Work with customer teams to enable state-of-the-art network models and new AI software features to meet customer use‑cases.
• Collaborate with AI hardware and architecture teams to continuously improve our AI solution.
• Contribute to the development process to ensure commercial-quality software releases.
• Participate in software quality process improvements.

Ideal Candidates

• 5+ years of 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.
• C++ expertise and 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 stakeholders.

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‑[e-mail] or call Qualcomm's toll‑free number. Upon request, 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.

Pay range and Other Compensation & Benefits

$131,200.00 - $181,200.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it is posted. Salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants. In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.