Jobs in Canada

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Added 1 month ago
UR
Forward Deployed Developer
Urban Ridge Supplies
Toronto, ON
- Full-time
Design and implement agentic workflows within the platform, identifying opportunities to automate repeatable financial operations while ensuring secure and auditable API interactions.
Added 1 month ago
UR
Founding Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Deploy Autonomous Intelligence: Partner directly with our strategic enterprise customers to map complex L&D workflows, pin-pointing high-impact opportunities for agentic AI integration.
Added 1 month ago
UR
Lead Agentic AI Engineer
Urban Ridge Supplies
Toronto, ON
- $98,000 to $138,000 CAD / year
- Full-time
…stronger financial future for the healthcare community. As a Lead Agentic AI Engineer, you will work directly with engineers, architects, security, governance , and business partners to…
Added 1 month ago
UR
Founding Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Deploy Autonomous Intelligence: Partner directly with our strategic enterprise customers to map complex L&D workflows, pin-pointing high-impact opportunities for agentic AI integration.
Added 1 month ago
UR
Principal AI Engineer
Urban Ridge Supplies
ON · York
- Full-time
Experience: 7+ years of professional software engineering experience, with 2+ years of dedicated experience shipping production-grade Generative AI, RAG, or Agentic features to end-users.
Added 1 month ago
UR
Lead Software Engineer, AI & Emerging Tech
Urban Ridge Supplies
Toronto, ON
- Full-time
…OpenAI, Gemini, Anthropic, Amazon Bedrock, LLM gateways, and agentic…
Added 1 month ago
QI
Forward Deployed AI Engineer
Qureos Inc
Toronto, ON
- Full-time
…their operational challenges, and build production-grade AI and agentic solutions that create measurable impact. This is a highly hands-on engineering role. You’ll work directly with…
Added 1 month ago
V
Principal AI/ML Engineer
Vanguard
Toronto, ON
- Full-time
…AI, including Large Language Models (LLMs), Trustworthy AI, agentic systems, and emerging AI…
Added 1 month ago
Manager - Marketing Transformation & Loyalty
EY
Winnipeg, MB · Toronto, ON · Saskatoon, SK · Halifax, NS · St. John's, NL · Saint John, NB · London, ON · Vancouver, BC · Victoria, BC · Edmonton, AB · Ottawa, ON · Dieppe, NB · ON · AB · Calgary, AB · Waterloo, ON
…lead exciting projects including marketing innovation and AI optimization, Martech, customer strategy and segmentation, brand management, communications, loyalty, customer engagement and…
Added 1 month ago
Senior Manager - Marketing Transformation & Loyalty
EY
Winnipeg, MB · Toronto, ON · Saskatoon, SK · Halifax, NS · St. John's, NL · Saint John, NB · London, ON · Vancouver, BC · Victoria, BC · Edmonton, AB · Ottawa, ON · Dieppe, NB · ON · AB · Calgary, AB · Waterloo, ON
…of the following areas such as marketing innovation and AI optimization, Martech, customer strategy and segmentation, brand management, communications, loyalty, customer engagement and…
Added 1 month ago
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Senior Manager - Marketing Transformation & Loyalty
EY
Waterloo, ON
- Full-time
…of the following areas such as marketing innovation and AI optimization, Martech, customer strategy and segmentation, brand management, communications, loyalty, customer engagement and…
Added 1 month ago
E
Manager - Marketing Transformation & Loyalty
EY
London, ON
- Full-time
…lead exciting projects including marketing innovation and AI optimization, Martech, customer strategy and segmentation, brand management, communications, loyalty, customer engagement and…
Added 1 month ago
E
Senior Manager - Marketing Transformation & Loyalty
EY
Saint John, NB
- Full-time
…of the following areas such as marketing innovation and AI optimization, Martech, customer strategy and segmentation, brand management, communications, loyalty, customer engagement and…
Added 1 month ago
E
Manager - Marketing Transformation & Loyalty
EY
Saint John, NB
- Full-time
…lead exciting projects including marketing innovation and AI optimization, Martech, customer strategy and segmentation, brand management, communications, loyalty, customer engagement and…
Added 1 month ago
Director, AI Technology Delivery
BMO
Toronto, ON · YNG
Apply deep knowledge of generative AI and agentic systems, including LLM orchestration, tool use, retrieval-augmented generation, prompt and context engineering, evaluations, guardrails,…
Added 1 month ago
M
Applied AI Scientist
Mphasis
Canada
- Full-time
Bring statistical and machine-learning judgment to agentic systems. Use probabilistic modelling, statistical inference, ML, optimization or causal reasoning when they make the system more…
Added 1 month ago
C
Sr. Staff Software Engineer, Inference Platform
Cerebras
Toronto, ON
- Full-time
…real-time iteration and increasing intelligence via additional agentic…
Added 1 month ago
C
Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras
Toronto, ON
- Full-time
…real-time iteration and increasing intelligence via additional agentic…
Added 1 month ago
C
Full Stack LLM Engineer
Cerebras
Toronto, ON
- Full-time
…real-time iteration and increasing intelligence via additional agentic…
Added 1 month ago
C
FPGA Engineer
Cerebras
Toronto, ON
- Full-time
…real-time iteration and increasing intelligence via additional agentic…
Added 1 month ago
C
Software Engineer - Host and Network IO
Cerebras
Toronto, ON
- Full-time
…real-time iteration and increasing intelligence via additional agentic…
Added 1 month ago
C
Software Engineer, Inference Platform
Cerebras
Toronto, ON
- Full-time
…real-time iteration and increasing intelligence via additional agentic…
Added 1 month ago
CS
Staff Software Engineer, Inference API
Cerebras Systems
Remote, Canada
- Full-time
- Remote
…real-time iteration and increasing intelligence via additional agentic…
Added 1 month ago
Senior Consultant - Platform Architect - Technology Strategy and Transformation
EY
Toronto, ON · Vancouver, BC
Contribute to application modernization, cloud migration, digital transformation, and platform optimization initiatives.
Added 1 month ago
TC
Kafka Developer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
Design RAG, LLM, agentic AI and ML architectures based on business use cases.

Cerebras

Full Stack LLM Engineer

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Sep 23, 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

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.

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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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