Jobs in Toronto, ON and nearby

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

51,776 listings · 7,256 employers Counted Sep 25, 2026. How we count

About these jobs

Employers hiring include Scotiabank (683 listings), Loblaw Companies Limited (588 listings), RBC (543 listings).

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

7,647 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	4,761
CAD / hour	23.74	2,069
USD / year	115,000.00	394
USD / hour	20.60	119
CAD / week	1,125.00	15
GBP / hour	35.00	14

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, 30% hybrid, 70% 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 Toronto, ON and nearby

Within 25 km

Email me new jobs Save this search

Added 6 hours ago
JR-210934 Project Manager Senior
Customertimes
Mississauga, ON
Added 6 hours ago
Lead DevOps Engineer
RBC
Toronto, ON
Full-time
Added 6 hours ago
Human Capital Director, Deals
PwC
Toronto, ON
Full-time
Added 6 hours ago
Senior Communications Officer - Foundation
CAMH
Toronto, ON
Added 6 hours ago
Program Manager, Building Security Systems
Toronto Community Housing or Toronto Seniors Housing
Toronto, ON
Added 6 hours ago
Retail Sales Associate
Fire & Flower Inc.
Mississauga, ON
Added 6 hours ago
Retail Sales & Delivery Associate - Stockyards
Fire & Flower Inc.
Toronto, ON
Added 6 hours ago
Accounts Payable Coordinator (1 year contract)
Rakuten Kobo Inc.
Toronto, ON
$55,456 to $85,923.2 CAD / year
Full-time
Added 6 hours ago
Commercial Portfolio Manager (Bilingual - Must be fluent in English AND Mandarin or Cantonese)
My Insurance Broker
Thornhill, ON
Added 6 hours ago
Technical Service Representative (Bilingual - must speak English & Mandarin or Cantonese)
My Insurance Broker
Thornhill, ON
Added 6 hours ago
Marketing - Sr Proposal Coordinator (Marketing Professional)
HOK Human Resources
Toronto, ON
Added 6 hours ago
Corporate Store Key Holder
Bulk Barn
Toronto, ON
Added 6 hours ago
Cashier/Stock Clerk
Bulk Barn
Toronto, ON
Added 6 hours ago
Registered Veterinary Technician: 4-Day Work Week in Toronto
VetStrategy / Daubigny
Toronto, ON
Added 6 hours ago
Independent Contractor / Owner-Operator
Talize Inc / Recycling Rewards
Toronto, ON
Added 6 hours ago
Night Tennis Maintenance (Full Time)
Granite Club
Toronto, ON
Full-time
Added 6 hours ago
Active Start Program Instructor (Part Time)
Granite Club
Toronto, ON
Part-time
Added 6 hours ago
Mechanical Design Engineer
Daedal Systems
Toronto, ON
$90,000 to $130,000 CAD / year
Full-time
Added 6 hours ago
Registered Nurse - Operating Room
Women's College Hospital
Toronto, ON
Added 6 hours ago
Registered Nurse - Operating Room
Women's College Hospital
Toronto, ON
Added 6 hours ago
Deployment & DevOps Engineer
Bluewaves Mobility Innovation Inc
Toronto, ON
Full-time
Added 6 hours ago
Activity Aide
Chartwell
Markham, ON
Part-time
Added 6 hours ago
Digital Print Expert: Day shift
Staples Inc.
Mississauga, ON
Full-time
Added 6 hours ago
Digital Print Expert - Night Shift
Staples Inc.
Mississauga, ON
Full-time
Added 6 hours ago
Digital Print Expert - Afternoon shift
Staples Business
Mississauga, ON
Full-time

Cerebras

Full Stack LLM Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 21, 2026
Posting language: English
Posted: Sep 23, 2026

Apply About employer

Applications open in a new tab.

Original 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 improvements to tools, APIs, and automation for future model bring-ups.

Requirements

A degree in computer science, engineering, or a related field is required, along with experience navigating AI toolchains and debugging performance, numerical accuracy, and runtime integration issues. Candidates should have deep learning framework and model knowledge, C/C++ and low-level optimization proficiency, compiler development experience with LLVM and/or MLIR, and a strong background in optimization techniques involving NP-hard problems.

Skills

Python
C/C++
Compiler Development
LLVM
MLIR
Machine Learning
PyTorch
TensorFlow
Model Architecture
Graph Lowering
Compiler Optimization
Performance Profiling
Debugging
Low-Level Optimization
Numerical Accuracy
NP-Hard Optimization

Benefits

Competitive Salary
Benefits Package
Professional Growth Opportunities
Career Advancement

Visa sponsorship

Not detected in the job text

Keywords

Cerebras Systems
Cerebras CSX
AI Chips
AI Inference
Model Bring-Up
Open-Source Models
LLaMA
Qwen
Python
C/C++
PyTorch
TensorFlow
LLVM
MLIR
Compiler Development
Compiler IR
Graph Lowering
Runtime Integration
Performance Tuning
Performance Profiling
Model Architecture
Attention
Mixture of Experts
Diffusion Models
Numerical Accuracy
Low-Level Optimization
NP-Hard Optimization
Semiconductor Manufacturing

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