Jobs in Canada

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Added 2 months ago
M
Senior Data Engineer
Morningstar
Toronto, ON
- Full-time
We are looking for a Senior Data Engineer with a minimum of 5+ years of experience in designing and implementing scalable, end-to-end data engineering solutions. The ideal candidate should…
Added 4 months ago
SQ
Quantum Algorithms Engineer
SuperQ Quantum Computing
Remote, Canada
- Full-time
- Remote
SuperQ is seeking a Quantum Algorithms Engineer to design, prototype, and implement quantum and hybrid algorithms on the Super Platform - our AI-driven supercomputing environment…
Added 4 months ago
PT
Senior Cloud Engineer
Parts Town Canada
Toronto, Ontario
- Full-time
As a Senior Cloud Engineer, you will be at the forefront of automating, optimizing, and maintaining our cloud infrastructure to ensure it is scalable, secure, and efficient. You will…
Added 4 months ago
I
Staff Software Developer, Full Stack
Intuit
Toronto, Ontario
- Full-time
Intuit has embraced a hybrid working model and this role will be based out of our Toronto office 3 days per week
Added 4 months ago
EG
Security and Compliance Lead
Emterra Group
Surrey, British Columbia
- Full-time
…(Identity and Access Administrator), AZ-500 (Azure Security Engineer), CISSP, CISM, or CompTIA…
Added 4 months ago
C
Senior Quality Engineer (Python, SQL)
Cognizant
Halifax, Nova Scotia
- $70,000 to $90,000 CAD / year
- Full-time
Must have 3+ years of Hands-on coding experience in Python · Must have good experience with SQL database and writing complex SQL queries
Added 4 months ago
L
Senior AI Systems Engineer - Agentic Workflow Runtime
Lydia.ai
Toronto, Ontario
- Full-time
We are looking for a senior engineer to help scale the core runtime behind these workflows.
Added 4 months ago
PI
Software Engineer, Sportsbook Platform
PENN Interactive
Canada
- Full-time
Added 2 months ago
R
Senior Full Stack Software Engineer, Remitly Business
Remitly
Burnaby, BC
- Full-time
Remitly Business is building a two-sided platform that helps businesses and individuals in emerging markets move money across borders
Added 3 months ago
Senior Software Engineer - Money (Abacus)
Helcim Inc
Calgary, AB
Helcim is searching for a Senior Software Engineer to help develop the next generation of payments technology. We're looking for a talented & experienced individual with a passion for…
Added 2 months ago
R
Ingénieur(e) électrique – Spécialiste en acquisition de données et instrumentation / Electrical Engineer – Data Acquisition and Instrumentation Specialist
RTX
Longueuil, QC
- Full-time
Added 3 months ago
HR
Senior Clinical Analyst
Humber River Health
Toronto, ON · Greater Toronto, ON
- Other
The Health Analytics Team at Humber River Hospital is an advanced healthcare analytics group that uses scientifically rigorous methods to conduct meaningful analyses that generate…
Added 3 months ago
I
Software Engineer I, Toronto Co-op
INSTALILY.AI
Toronto, ON
- $7,000 CAD / month
Build a rapport with the Lead Software Engineer and Head of Product while fostering a culture of continuous learning and improvement
Added 3 months ago
G
Analyste de données / Data Scientist
Genetec
Remote, Canada
- Full-time
- Remote
Expérience avec les services Azure tels que : Azure Synapse Analytics, Azure Data Factory, Azure Machine Learning, Azure Data Lake Storage
Added 2 months ago
Senior Platform Engineer
AutoTrader.ca
Toronto, ON
…What we care about is a faster, smoother day-to-day for every engineer, and AI is the biggest lever we…
Added 3 months ago
Software Development Engineer, Alexa Connections
Amazon
Toronto, ON
…our dynamic Alexa Connections team as a Software Development Engineer, and lead futuristic initiatives that will shape the next generation of intelligent, conversational experiences. In…
Added 3 months ago
JS
Continuous Improvement Engineer (Contract)
JFE Shoji Power Canada Inc.
Burlington, ON
- $110,000 to $125,000 CAD / year
- Contract
…efficiency, quality, and safety. The Operational Improvement Engineer will collaborate closely with production teams, engineering, and management to identify areas of opportunity and…
Added 2 months ago
Globalization Tech Lead
Okta
Toronto, ON
Okta is looking for a highly skilled Globalization Engineer to be the technical backbone of our global digital operations. You will be responsible for owning, building, and optimizing the…
Added 4 months ago
DI
Field Engineer. AI Solutions. Contract.
Data Intellect
Toronto, Ontario
- Full-time
…AI-powered decision-making. We’re seeking a Field Solutions Engineer to design and deliver scalable solutions for enterprise clients, blending engineering expertise with consultative…
Added 3 months ago
F
Senior Systems Engineer
Flatgigs
Remote, Canada
- Full-time
- Remote
We are looking for a foundational engineer to work directly with leadership in defining system architecture and building the technical foundation of a new platform. You will bridge the gap…
Added 2 months ago
Power Platform & Copilot Studio Architect
Softchoice
Toronto, ON · Ottawa, ON · Nova Scotia, Nova · Calgary, AB · Oakville, ON
Deep expertise in Microsoft Copilot Studio: agent design, generative orchestration, knowledge sources, custom actions/tools, channels, analytics, and M365 Copilot extensibility.
Added 2 months ago
Staff Design Verification Engineer, AI HW
Tenstorrent
Toronto, ON
How data analytics and modern AI tooling can enhance verification workflows and accelerate convergence.
Added 3 months ago
A
Senior Data Engineer
APPLY
Toronto, ON · Vancouver, BC
- Full-time
Collaborate with analytics teams to define data models and enable self-service reporting and BI capabilities.
Added 3 months ago
Q
Senior Embedded Software Engineer (C/C++), Machine Learning
Qualcomm
Markham, ON
- Full-time
Added 3 months ago
Q
AI/Machine Learning Engineer (Embedded Systems, Inference Efficiency)
Qualcomm
Markham, ON
- Full-time

Qualcomm

Senior Embedded Software Engineer (C/C++), Machine Learning

Markham, ON, Canada

$114,400.00 - $164,400.00 · Full-time

Apply on careers.qualcomm.com About employer

Applications open in a new tab.

Job details

Pay: $114,400.00 - $164,400.00
Job type: Full-time
Posting language: English
Posted: Jul 30, 2026

Original job description

Company:

Qualcomm Canada ULC

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

As a member of Low Power AI solution team, you will play a critical role at deploying AI models on Qualcomm's low power AI accelerator. The position focuses on mapping high level machine learning operators to low level hardware instructions, involving various optimization techniques: graph transformation, scheduling, memory planning, individual operator implementation, quantization, etc. Your expertise at machine learning is expected to enhance inference efficiency and accuracy of different models on Qualcomm's hardware architecture. New Position

Skills / Experience Required:

Solid hands-on skills and experience on performance optimization.
Proficient programming skills in C/C++
Machine learning knowledge is a plus..
Experience with Linux/Android development environment and tools.
Familiar with embedded/computer hardware architecture.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ 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 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.

Preferred Qualifications:

Master's degree in Computer Science, Engineering, Information Systems, or related field.
2+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
2+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
2+ years of experience with C/C++, ideally at the embedded level
2+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).
2+ years experience working in a large matrixed organization.
1+ year of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).

Principal Duties and Responsibilities:

Applies Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
Models, architects, and develops machine learning hardware (co-designed with machine learning software) for inference or training solutions.
Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development.
Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
Develops, adapts, or prototypes complex machine learning algorithms, models, or frameworks aligned with and motivated by product proposals or roadmaps with minimal guidance from more experienced engineers.
Conducts complex experiments to train and evaluate machine learning models and/or software independently.

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:

$114,400.00 - $164,400.00

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 on careers.qualcomm.com About employer

More about this job

Responsibilities

You will map machine learning operators to low-level hardware instructions and optimize inference efficiency on Qualcomm's AI accelerators. The role involves co-designing machine learning hardware and developing software tools to enable AI models on embedded platforms.

Requirements

Candidates must have a degree in Computer Science, Engineering, or a related field with at least 1-2 years of relevant work experience. Proficiency in C/C++ and experience with embedded systems or machine learning frameworks are required.

Skills

C/C++
Machine learning
Performance optimization
Linux
Android
Embedded systems
Hardware architecture
TensorFlow
PyTorch
Keras
Graph transformation
Quantization
Memory planning
Algorithm development
Compiler tools

Benefits

Annual discretionary bonus program
Annual RSU grants
Competitive benefits package

Visa sponsorship

Not detected in the job text

Keywords

Embedded Software
Machine Learning
C++
C
Performance Optimization
Linux
Android
Hardware Architecture
TensorFlow
PyTorch
Keras
Quantization
Graph Transformation
Inference
AI Accelerator
Compiler Tools
NLP
Multi-media
Statistics
Probability
Bayes Rule
QNX
Software Engineering
Systems Engineering
Hardware Engineering

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Work requirements

Jobs in Canada