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Added 2 months ago
OG
Technology Consulting Lead
Onni Group of Companies
Vancouver, BC
- Full-time
Strong technical breadth across automation, systems integration, data and analytics, and modern software tooling. You do not need to be an engineer, but you need to be able to hold your own…
Added 2 months ago
B
Principal Cloud Security Engineer
BMO
Toronto, ON · BMOPLACE
- Full-time
We are seeking an enthusiastic and passionate professional for a Senior Cloud, AI & Data Security Engineer role who wants to design and implement security solutions for systems and services…
Added 2 months ago
A
Senior Engineer, Baggage Handling Systems
AECOM
Mississauga, ON
- $150,000 to $180,000 CAD / year
- Full-time
AECOM is seeking a Senior Engineer, BHS to join our team. This position is based out of Mississauga.
Added 3 months ago
R
AI Platform Engineer (Senior / Principal)
RAVL
Toronto, ON
- Full-time
We're looking for a Senior / Principal AI Platform Engineer to build the secure, scalable platform capabilities that enable enterprise AI delivery across our clients' organizations.
Added 1 month ago
Senior Analytics Engineer
Asana
Vancouver, BC
The Data Science & Analytics team at Asana is how the company turns data into decisions - defining the questions that matter, surfacing the answers, and making sure insight is at the center…
Added 2 months ago
O
Senior Business Analyst, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Added 2 months ago
C
Software Engineer – Margin Technology - Officer
Citi
Mississauga, ON
- Full-time
Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do…
Added 2 months ago
1
Senior Workplace Technology Engineer – Toronto
1Password
Toronto, ON
- Full-time
…and continuously evolving the technology experience across network infrastructure, AV and collaboration systems, physical security technology, and workplace endpoint…
Added 2 months ago
Senior Data Engineer
Talents LGS
Montreal, QC
At IBM Consulting FutureNow, we unite human expertise and artificial intelligence to deliver client results with certainty, speed, and value. Fueled by LGS, with offices in Montreal and…
Added 1 month ago
AI and Data - Senior Consultant - AI/ML Engineer
EY
Toronto, ON · Montreal, QC
…by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and…
Added 2 months ago
AN
Cloud Engineer
Arista Networks
Vancouver, BC
- Contract
…leverage the latest advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly…
Added 3 months ago
EB
Senior AI Platform Operations Engineer
EQ Bank
Toronto, Ontario
- Full-time
The Senior AI Platform Operations Engineer is accountable for the reliability, operability, and controlled enablement of the organization’s AI platform.
Added 2 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 2 months ago
Q
AI/Machine Learning Engineer (Embedded Systems, Inference Efficiency)
Qualcomm
Markham, ON
- Full-time
Influence future accelerator features and model deployment and contribute to Qualcomm’s strategic initiatives in efficient AI and embedded intelligence.
Added 4 months ago
C
Software Engineer (Full Stack)
Citylitics
Toronto, Ontario
- $120,000 to $140,000 CAD / year
- Full-time
Citylitics combines a network of AI agents, fine-tuned models, a proprietary infrastructure signals graph, and daily human-in-the-loop quality assurance workflows to deliver highly nuanced…
Added 1 month ago
X
Digital Sales Engineer / Market Development Manager
Xylem
Fredericton, NB · Sudbury, ON · Mississauga, ON · Pointe-Claire, QC · Mount Pearl, NL · Dartmouth, NS
- Full-time
We're Hiring a Digital Sales Engineer / Market Development Manager!
Added 4 months ago
P
Senior Site Reliability Engineer, AI Infrastructure
PointClickCare
Mississauga, Ontario
- $139,000 to $155,000 CAD / year
- Full-time
Implement and maintain platform security controls - including network segmentation, secrets management, encryption, and data protection safeguards - aligned to compliance requirements and…
Added 2 months ago
O
Senior Data Engineer
OMERS
Toronto, ON · Head Office Toronto
- Full-time
As a key member of the Software Engineering team, the Senior Data Engineer will be hands-on across the full data solution delivery lifecycle, leading the design, development, deployment,…
Added 4 months ago
E
evTOC Applications Engineer
Evertz
Burlington, Ontario
- Full-time
…DNS, DHCP, Layer 2 and 3 switching, firewalls, NATs and basic network security principles is an…
Added 4 months ago
C
Jr Data Engineer - Custom Solutions
Citylitics
Toronto, Ontario
- $70,000 to $80,000 CAD / year
- Full-time
Citylitics combines a network of AI agents, fine-tuned models, a proprietary infrastructure signals graph, and daily human-in-the-loop quality assurance workflows to deliver highly nuanced…
Added 2 months ago
Vice President, Digital Strategy
Teneo
Toronto, ON
Drawing upon our global team and expansive network of senior advisors, we provide advisory services across our five business segments on a stand-alone or fully integrated basis to help our…
Added 5 months ago
HC
Co-op Engineer - Compiler
Huawei Canada
Markham, Ontario
- Full-time
Huawei Canada has an immediate co-op opening for an Engineer.
Added 1 month ago
TU
Data Science & AI Graduate Scheme - Halifax
targetjobs UK
Halifax, NS
- Temporary
Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed…
Added 4 months ago
S&
Lead Full Stack Developer
Saatchi & Saatchi Canada
Canada
- Full-time
…database migration, debugging a prod incident, mentoring a senior engineer, or sitting in a client architecture conversation. You thrive at the intersection of architecture, engineering,…
Added 3 months ago
C
AVP, Lead AI Engineer
Chubb
Toronto, ON
- Full-time
Enable sales analytics | marketing with a foundational layer of AI with Consumer LLM as needed

Qualcomm

AI/Machine Learning Engineer (Embedded Systems, Inference Efficiency)

Markham, ON, Canada

$114,400.00 - $164,400.00 · Full-time

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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 the Low Power AI Solution team, you will conduct advanced research on model efficiency, model compression techniques, and ML system optimization to push the boundaries of efficient on‑device inference. You will lead and contribute to high-impact research initiatives, understand hardware–software interactions at a fundamental level, and collaborate with global teams to develop systems that shape future Qualcomm AI accelerator capabilities. New Position

Key Responsibilities

Conduct cutting-edge research in inference efficiency and ML system optimization: efficient architecture design, model compression, PEFT, compiler stack optimization etc.
Prototype and develop system solutions with software–hardware co-design to align architectural choices, dataflows, and memory behavior with Qualcomm’s low-power AI accelerators for optimal model deployment
Collaborate closely with modeling, compiler, and hardware teams to convert research into production-ready low power AI solutions, enabling real-world applications and commercial impact.
Influence future accelerator features and model deployment and contribute to Qualcomm’s strategic initiatives in efficient AI and embedded intelligence.

Requirements

Proven research excellence on inference efficiency and ML system, demonstrated by publications, community contributions, or equivalent evidence of impact.
Deep expertise in neural network architectures, model compression (e.g., quantization, pruning, knowledge distillation) and efficient inference algorithm
Strong background on compiler stack and ML system optimization for AI accelerators (e.g., graph transformation, graph tiling and scheduling, tensor layout/memory optimization)
Strong understanding of Machine Learning fundamentals, strong programming skills with ML frameworks
Hands-on experience with model development pipelines for AI accelerator, including training, fine-tuning, evaluation, and performance optimization.

Preferred Qualifications

PhD in Computer Science, Electrical Engineering, or related fields or MS with AI research, or related work experience.
Extensive experience in deep learning research and impactful publications in top-tier machine learning venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP etc.).
Experience in on-device model deployment and optimization algorithms for AI hardware accelerators
Experience working with a variety of stakeholders and ability to communicate complex outcomes to a wide range of audiences.

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.

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.

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More about this job

Responsibilities

You will conduct advanced research on model efficiency, compression techniques, and ML system optimization to enhance on-device inference. You will also collaborate with hardware and compiler teams to develop production-ready solutions for Qualcomm's AI accelerators.

Requirements

Candidates must have a strong background in machine learning fundamentals, compiler stack optimization, and model compression techniques. A bachelor's degree in a relevant field with at least 1-2 years of experience or a PhD is required.

Skills

Machine learning
Model compression
Inference efficiency
Embedded systems
Compiler stack
Neural network architectures
Quantization
Pruning
Knowledge distillation
Hardware-software co-design
AI accelerators
Graph transformation
Memory optimization
C++
Python
Deep learning

Benefits

Annual discretionary bonus program
Annual RSU grants
Competitive benefits package

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
Embedded Systems
Inference Efficiency
Model Compression
Quantization
Pruning
Knowledge Distillation
Compiler Stack
Hardware-Software Co-design
AI Accelerators
Graph Transformation
Memory Optimization
PEFT
Deep Learning
Neural Networks
Research
Algorithm Optimization
Dataflows
Embedded Intelligence
Performance Optimization
Model Deployment
Computer Science
Electrical Engineering
Qualcomm

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