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Salary
$75k – $111k per year
Location
In office (Markham)

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 19, 2026. Qualcomm scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Qualcomm is an American semiconductor and wireless technology company founded in 1985 and headquartered in San Diego, California. It holds foundational patents in CDMA and the 3G, 4G and 5G cellular standards, licensing them to nearly every handset maker in the world, while its chip division designs the Snapdragon platforms that power a large share of Android smartphones, personal computers, wearables and connected cars. The company has been diversifying away from smartphone dependence into automotive digital cockpit and driver assistance systems, industrial internet of things, and on-device AI processing through its Hexagon and Oryon architectures.
Backed by NEA, Valueaddvc, Mayfield

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. New Position

Purpose:

As a member of Qualcomm’s ML Systems Team, you will participate in two activities:

  • Development and evolution of ML/AI compilers (production and exploratory versions) for efficient mappings of ML/AI algorithms on existing and future HW
  • Analysis of ML/AI algorithms and workloads to drive future features in Qualcomm’s ML HW/SW offerings

Key Responsibilities:

  • Contributing to the development and evolution of ML/AI compilers within Qualcomm
  • Defining and implementing algorithms for compiling ML/AI workloads to achieve high performance and low power on Qualcomm HW
  • Creating and implementing algorithms that couple PyTorch framework efficiently to Qualcomm ML/AI Compiler flows.
  • Understanding trends in ML network design, through customer engagements and latest academic research, and how this affects both SW and HW design
  • Exploration and analysis of performance/area/power trade-offs for future HW and SW ML algorithms
  • Creation of performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs
  • Pre-Silicon prediction of performance for various ML algorithms
  • Running, debugging and analyzing performance simulations to suggest enhancements to Qualcomm hardware and software to tackle framework, compute and system memory-related bottlenecks

· Successful applications will work in cross-site, cross-functional teams.

Requirements:

  • Demonstrated ability to learn, think and adapt in fast changing environment
  • Detail-oriented with strong problem-solving, analytical and debugging skills
  • Strong communication skills (written and verbal)
  • Strong background in algorithm development and performance analysis is essential

The following experience would be significant assets:

  • Strong object-oriented design principles
  • Strong knowledge of C++
  • Strong knowledge of Python
  • Experience in compiler design and development is an asset
  • Knowledge of network model formats/platforms (eg. Pytorch, ONNX) is a strong asset.
  • Knowledge of software development processes (revision control, CD/CI, etc.) · Familiarity with tools such as git, Jenkins, Docker, clang/MSVC
  • On-silicon debug skills of high-performance compute algorithms · Knowledge of algorithms and data structures
  • Knowledge of computer architecture, digital circuits and event-driven transactional models/simulators

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 [email protected] 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).

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.

To all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

Pay range and Other Compensation & Benefits:

$104,800.00 - $154,800.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that 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 (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer.

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

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