Jobs in Vaughan, ON and nearby (90,420 jobs)

Jobs within 25 km of Vaughan, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

90,420 listings · 10,368 employers Counted Nov 8, 2026. How we count

About these jobs

Employers hiring include Husky Technologies (2,084 listings), Loblaw Companies Limited (1,549 listings), Shoppers Drug Mart (1,382 listings).

Common roles: Software engineer, Project manager, Retail sales associate.

14,027 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 / year	85,000.00	7,777
CAD / hour	26.64	5,764
USD / year	158,000.00	73
CAD / month	4,500.00	37
CAD / week	2,236.82	30
CAD / day	101.00	16

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: 0% remote, 28% hybrid, 72% 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

Jobs in Vaughan, ON and nearby

Within 25 km

Email me new jobs Save this search

Added 8 hours ago
FT
Senior Machine Learning Engineer
FDE Times
Toronto, ON
- Full-time
Added 8 hours ago
FT
Full Stack LLM Engineer
FDE Times
Toronto, ON
- Full-time
Added 8 hours ago
FT
Applied Machine Learning Research Scientist
FDE Times
Toronto, ON
- Full-time
Added 8 hours ago
UC
Accommodation Support Facilitator - Full Time
Upper Canada Child Care
Markham, ON
- Full-time
Added 8 hours ago
Estimator
State Window Corporation
Vaughan, ON
Added 9 hours ago
SW
General Labourer
Shine Window & Eaves
Toronto, ON
- Full-time
Added 10 hours ago
GH
Server
Germain Hôtels
Toronto, ON
- Part-time
Added 10 hours ago
License Owner, Toronto
Stranger Soccer
Toronto, ON
Added 10 hours ago
S
Data Center Technician
Serverfarm
Toronto, ON
- Full-time
Added 10 hours ago
I-
Senior Product Manager
I8IS - Infiniti Software Solutions
Toronto, ON
- Full-time
Added 10 hours ago
WC
OMNI Customer Fulfillment Associate
Walmart Canada
Toronto, ON
- Contract
Added 10 hours ago
B
Billingual Service Delivery Coordinator (EN/FR)
BGIS
Markham, ON
- Full-time
Added 10 hours ago
B
Bilingual Facilities Services Coordinator (English/French)
BGIS
Markham, ON
- Full-time
Added 10 hours ago
Future Store Manager
David's Bridal
Vaughan, ON
Added 10 hours ago
CL
Part Time Direct Support Professional
Community Living Central York
Newmarket, ON
- Part-time
Added 11 hours ago
SD
Pharmacy Assistant, Hourly Part Time Day Greenlight Requisition
Shoppers Drug Mart
Toronto, ON
- Part-time
Added 11 hours ago
S
Seasonal Retail Sales Consultant - Part Time - Scarborough T.C. , ON
Swarovski
Toronto, ON
- Part-time
Added 11 hours ago
HT
Material Handler
Husky Technologies
Bolton, ON
- Full-time
Added 11 hours ago
HT
Technical Trainer
Husky Technologies
Bolton, ON
- Full-time
Added 11 hours ago
HT
Maintenance Technician
Husky Technologies
Bolton, ON
- Full-time
Added 11 hours ago
HT
Director, Finance (CSM)
Husky Technologies
Bolton, ON
- Full-time
Added 11 hours ago
HT
Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
Bolton, ON
- Full-time
Added 11 hours ago
HT
Assembly Technician (Contract)
Husky Technologies
Bolton, ON
- Full-time
Added 11 hours ago
HT
Manuf. Support Technician
Husky Technologies
Bolton, ON
- Full-time
Added 11 hours ago
HT
Master Data Mgmt Analyst
Husky Technologies
Bolton, ON
- Full-time

FDE Times

Full Stack LLM Engineer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 22, 2026
Posting language: English
Posted: Nov 8, 2026

Original job description

Job Description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

About The Role

We are seeking a versatile and experienced engineer to join our Inference Core Model Bringup team. This team is responsible to rapidly bring up state-of-the-art open-source models (like LLaMA, Qwen, etc) or customer-provided proprietary models on our Cerebras CSX systems. Success in this role requires a system-minded generalist who thrives in fast-paced bringup environments and is comfortable working across the entire Cerebras software stack.

Your work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for AI applications.

Responsibilities

Contribute to the end-to-end bring up of ML models on Cerebras CSX systems.
Work across the stack: model architecture translation, graph lowering, compiler optimizations, runtime integration, and performance tuning.
Debug performance and correctness issues spanning model code, compiler IRs, runtime behavior, and hardware utilization.
Propose and prototype improvements across tools, APIs, or automation flows to accelerate future bring ups.

Skills & Qualifications

Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field.
Comfort navigating the full AI toolchain: Python modeling code, compiler IRs, performance profiling, etc.
Strong debugging skills across performance, numerical accuracy, and runtime integration.
Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and familiarity with model internals (e.g., attention, MoE, diffusion).
Proficiency in C/C++ programming and experience with low-level optimization.
Proven experience in compiler development, particularly with LLVM and/or MLIR.
Strong background in optimization techniques, particularly those involving NP-hard problems.

What We Offer

Competitive salary and benefits package.
Opportunities for professional growth and career advancement.
A dynamic and innovative work environment.
The chance to work on cutting-edge technologies and make a significant impact on the future of AI.

Why Join Cerebras

About

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Apply About employer

More about this job

Responsibilities

Bring up open-source and customer-provided machine learning models on Cerebras CSX systems, working across model translation, graph lowering, compiler optimization, runtime integration, and performance tuning. Diagnose correctness and performance issues across the software stack and prototype tools, APIs, and automation to accelerate future model bring-ups.

Requirements

A bachelor's, master's, or doctoral degree in computer science, engineering, or a related field is required, along with experience across the AI toolchain and deep learning frameworks such as PyTorch or TensorFlow. Candidates should have strong debugging and low-level C/C++ optimization skills, compiler development experience with LLVM and/or MLIR, and a background in optimization techniques, particularly for NP-hard problems.

Skills

Python
C/C++
LLVM
MLIR
Compiler Development
Compiler Optimization
Deep Learning
PyTorch
TensorFlow
Model Architecture
Performance Profiling
Performance Tuning
Debugging
Numerical Accuracy
Runtime Integration
Optimization Techniques

Benefits

Competitive Salary
Professional Growth Opportunities
Career Advancement Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Cerebras Systems
Cerebras CSX
Artificial Intelligence
Machine Learning
Large Language Models
Model Bring-Up
Open-Source Models
Proprietary Models
LLaMA
Qwen
Python
C/C++
LLVM
MLIR
PyTorch
TensorFlow
Compiler IR
Graph Lowering
Compiler Optimization
Runtime Integration
Performance Profiling
Performance Tuning
Model Architecture
Attention
Mixture of Experts
Diffusion Models
Numerical Accuracy
Hardware Utilization
NP-Hard Optimization
Inference

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