Jobs in Vaughan, ON and nearby (72,193 jobs)

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

72,193 listings · 9,729 employers Counted Nov 14, 2026. How we count

About these jobs

Employers hiring include Husky Technologies (1,704 listings), Loblaw Companies Limited (1,686 listings), Shoppers Drug Mart (1,097 listings).

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

11,717 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	90,000.00	6,594
CAD / hour	26.00	4,805
USD / year	159,000.00	60
CAD / week	1,650.00	31
CAD / month	6,000.00	28
CAD / day	101.00	13

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, 26% hybrid, 74% 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

Group jobs by employerEmail me new jobs Save this search

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Manager, Integration Delivery - Professional Services
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Toronto, ON
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Développeur(se) de logiciel senior spécialisé en moteurs de recherche
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Toronto, ON
- $107,000 to $165,000 CAD / year
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Senior Platform Infrastructure Engineer
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Toronto, ON
- $170,000 to $225,000 USD / year
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Toronto, ON
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Cerebras Systems

CoDesign & NextGen Performance Engineer

Toronto, ON, Canada

Apply on jobs.ashbyhq.com About employer

Applications open in a new tab.

Job details

Experience: 3+ years of experience in a relevant domain (Computer Architecture, CPU/GPU Performance, Kernel Optimization, HPC).
Posting language: English
Posted: Jul 14, 2026

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

This role focuses on characterizing, analyzing, and optimizing the performance of state-of-the-art AI models running on Cerebras’ breakthrough hardware. You will work across the hardware and software stack to identify bottlenecks, improve computational efficiency, and help influence the design of Cerebras’ next-generation AI architecture and software systems.

Responsibilities

Bring up and optimize performance on new generations of the Cerebras WSE.
Build performance models (kernel-level, end-to-end) to estimate the performance of state of the art and customer ML models.
Optimize and debug our kernel micro code and compiler algorithms to elevate ML model inference speed, throughput and compute utilization on the Cerebras WSE.
Debug and understand runtime performance on the system and cluster.
Develop tools and infrastructure to help visualize performance data collected from the Wafer Scale Engine and our compute cluster.

Skills & Qualifications

Bachelors / Masters / PhD in Electrical Engineering or Computer Science. Strong background in computer architecture.
Exposure to and understanding of low-level deep learning / LLM math.
Strong analytical and problem-solving mindset.
3+ years of experience in a relevant domain (Computer Architecture, CPU/GPU Performance, Kernel Optimization, HPC).
Experience working on CPU/GPU simulators.
Exposure to performance profiling and debug on any system pipeline.
Comfort with C++ and Python.

Why Join Cerebras

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 on jobs.ashbyhq.com About employer

More about this job

Responsibilities

The engineer will measure, model and speed up AI model performance on Cerebras chips, from low-level kernel code to whole clusters. They will also build tools that visualize performance data.

Requirements

Candidates need a Bachelor's, Master's or PhD in electrical engineering or computer science, with 3+ years in computer architecture, performance or kernel optimization. Strong C++ and Python, plus analytical problem-solving, are required.

Skills

C++
Python
Computer architecture
Performance profiling and debugging
Kernel optimization
Compiler optimization
Performance modelling
CPU/GPU simulators
Deep learning and LLM math
High-performance computing
Data visualization tools
Problem solving

Keywords

Computer Architecture
Performance Engineering
Kernel Optimization
HPC
Deep Learning
LLM
AI Accelerator
Wafer Scale Engine
C++
Python
Compiler
Profiling
CPU/GPU Simulators
Machine Learning Inference
Cerebras

Seniority

mid

Department

engineering

Tools

C++
Python

Languages

English

Fields of study

Electrical Engineering
Computer Science

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Work requirements

Jobs in Vaughan, ON and nearby