Full-time jobs in Canada

Explore full-time jobs across Canada. Choose a location and read the full job details.

312,002 listings · 43,778 employers Counted Oct 28, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (7,223 listings), Walmart (2,408 listings), Loblaw Companies Limited (2,369 listings).

Common roles: Cook, Project manager, Sales representative.

58,653 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	24.00	35,255
CAD / year	80,000.00	19,593
USD / year	96,710.00	1,382
USD / hour	20.00	581
CAD / month	5,027.00	531
CAD / week	1,445.00	49
CAD / day	360.00	34
GBP / year	40,000.00	13
USD / month	4,000.00	13
USD / week	1,817.65	12
EUR / year	65,000.00	11

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 2% remote, 16% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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Qualcomm

Machine Learning Framework, Complier & Performance Engineer

Canada

$104,800.00 - $154,800.00 · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $104,800.00 - $154,800.00
Job type: Full-time
Posting language: English
Posted: Oct 27, 2026

Original 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. 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 disability-accomodations@qualcomm.com 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.

Apply About employer

More about this job

Responsibilities

You will develop and evolve ML/AI compilers to efficiently map algorithms onto Qualcomm hardware. Additionally, you will analyze performance, power, and area trade-offs to drive future hardware and software feature offerings.

Requirements

Candidates must have a bachelor's degree in a relevant field and a strong background in algorithm development and performance analysis. Proficiency in C++ and Python, along with experience in compiler design and ML frameworks, is highly desired.

Skills

Machine learning
Compiler design
C++
Python
Algorithm development
Performance analysis
PyTorch
ONNX
Computer architecture
Git
Jenkins
Docker
Clang
MSVC
Debugging
Data structures

Benefits

Annual discretionary bonus program
Annual RSU grants
Competitive benefits package

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Compiler
Performance Engineering
Qualcomm
SoC
PyTorch
ONNX
C++
Python
Algorithm Development
Computer Architecture
Digital Circuits
Simulation
Pre-Silicon
Git
Jenkins
Docker
Clang
MSVC
Debugging
Data Structures
Hardware
Software
IoT
Edge Computing
Performance Analysis
CD/CI
Object-Oriented Design

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