Full-time jobs in Canada

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

355,522 listings · 46,380 employers Counted Nov 5, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (8,326 listings), Health Match BC (3,274 listings), Walmart (2,722 listings).

Common roles: Cook, Project manager, Sales representative.

64,081 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	38,071
CAD / year	80,000.00	23,755
CAD / month	5,027.00	650
USD / year	126,000.00	216
CAD / week	1,508.50	74
CAD / day	360.00	44
USD / hour	20.00	21
GBP / year	40,000.00	14
EUR / year	80,000.00	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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Lightmatter

Machine Learning Infrastructure Researcher

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 4, 2026
Experience: PhD in Computer Science, Electrical Engineering, or a related field and at least 10 years of industry or research experience in the field.
Posting language: English
Posted: Nov 4, 2026

Original job description

Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.

Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!

If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.

Lightmatter is (re)inventing the future of computing with light!

Lightmatter is seeking a Principal of Machine Learning Infrastructure Researcher to join our Machine Learning team. This team is focused on inventing novel hardware systems using Lightmatter technology and modeling the performance of Lightmatter-enabled systems on both training and inference workloads.

This is primarily a creative role where you need to think outside the box to push the boundaries of systems research with the power of silicon photonics at your fingertips. This role will work closely with our product, solutions architecture, and engineering teams to generate impactful performance analysis, create high-performance rack-scale designs, and publish cutting-edge ML systems research.

Responsibilities

Stay up to date on the latest advancements in Machine Learning research.
Build tools to model the performance of Passage-enabled systems when running both training and inference workloads for the latest AI models.
Collaborate with our product and solutions architecture teams to design compelling reference platforms for our customers, powered by Lightmatter technology.
Function as the Machine Learning expert in the room.
Publish academic papers at top industry conferences and journals. Help support the publication of whitepapers, blog posts, and other marketing collateral.
Lead a small team of Machine Learning engineers

Qualifications

PhD in Computer Science, Electrical Engineering, or a related field and at least 10 years of industry or research experience in the field.
Solid background in Machine Learning systems research and experience with performance evaluation and performance modeling.
Hands-on experience with machine learning / deep learning methods and extensive knowledge of Large Language Model training and inference frameworks.
Academic publications in relevant journals and industry conferences.
Strong knowledge of AI systems, including compute (GPUs, TPUs, etc.) and networking (Ethernet, Infiniband, NVLink, etc.) technologies, and their various topologies, paradigms, and trade-offs.
Proven track record leading a team to deliver published results.

Preferred Qualifications

Demonstrated ability to creatively problem-solve and apply first-principles thinking to generate novel ideas, particularly in ambiguous, evolving environments.
Exceptional skills in communicating complex research outcomes and technical concepts to partners and internal stakeholders, while embodying our value of speaking truth.
Ability to work across research, product, and business functions, rolling up your sleeves to bridge gaps and accelerate outcomes, while demonstrating the core value of "We are one Lightmatter."
Adaptable and versatile, thriving in a high-speed, high-precision environment.
Experience in managing engineers and leading projects, with the ability to lift up the team, and work with high standards and high collaboration.

Benefits

Comprehensive Health Care Plan (Medical, Dental & Vision)
Retirement Savings Matching Program
Life Insurance (Basic, Voluntary & AD&D)
Generous Time Off (Vacation, Sick & Public Holidays)
Paid Family Leave
Short Term & Long Term Disability
Training & Development
Commuter Benefits
Flexible, hybrid workplace model
Equity grants (applicable to full-time employees)

Benefits eligibility may vary depending on your employment status and location. Lightmatter recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law.

Export Control

Candidates should have capacity to comply with the federally mandated requirements of U.S. export control laws.

Apply About employer

More about this job

Responsibilities

Develop tools to model the performance of Passage-enabled systems on AI training and inference workloads, and collaborate with product and solutions architecture teams to design customer reference platforms. Lead a small team, contribute to research publications and other technical content, and serve as the machine learning expert across the organization.

Requirements

Requires a PhD in Computer Science, Electrical Engineering, or a related field, with at least 10 years of industry or research experience. Candidates should have machine learning systems research and performance modeling expertise, hands-on deep learning experience, extensive knowledge of LLM training and inference frameworks, relevant publications, and strong knowledge of AI compute and networking systems; a track record of leading a team to publish results is also required.

Skills

Machine Learning Systems Research
Performance Modeling
Performance Evaluation
Large Language Model Training
Large Language Model Inference
Deep Learning
AI Systems
GPU and TPU Systems
Networking Technologies
System Topologies
Academic Publishing
Team Leadership
Technical Communication
First-Principles Thinking

Benefits

Health Care Plan
Life Insurance
Paid Time Off
Paid Family Leave
Short-Term Disability
Long-Term Disability
Training and Development
Commuter Benefits
Flexible Hybrid Workplace
Equity Grants

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Machine Learning Systems Research
Artificial Intelligence
High-Performance Computing
Passage
Silicon Photonics
Data Center Infrastructure
Performance Modeling
Performance Evaluation
Training Workloads
Inference Workloads
Large Language Models
Deep Learning
GPUs
TPUs
Ethernet
InfiniBand
NVLink
System Topologies
Reference Platforms
Rack-Scale Designs
Academic Publications
Whitepapers
Research Leadership
Team Management

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