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Added 2 days ago
FT
Full Stack LLM Engineer
FDE Times
Toronto, ON
- Full-time
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…
Added 2 days ago
EM
Production Engineer
Evertz Microsystems Limited
Burlington, ON
- Full-time
Python certification with experience is an asset
Added 2 days ago
Senior Quality Assurance Engineer
NetBrain
Toronto, ON
High proficiency in computer technology and advanced programming ability with Python, Java, Go or other general-purpose programming languages.
Added 2 days ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 2 days ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 2 days ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 2 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 2 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 2 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 2 days ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are looking for a highly experienced AI Engineer with strong expertise in Python development, Artificial Intelligence (AI), Large Language Models (LLMs), and enterprise application…
Added 2 days ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are looking for a highly experienced AI Engineer with strong expertise in Python development, Artificial Intelligence (AI), Large Language Models (LLMs), and enterprise application…
Added 2 days ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are looking for a highly experienced AI Engineer with strong expertise in Python development, Artificial Intelligence (AI), Large Language Models (LLMs), and enterprise application…
Added 2 days ago
AI
Lead Electrical Engineer
Aversan Inc.
Mississauga, ON
- $130,000 to $140,000 CAD / year
- Full-time
We are currently seeking a qualified Lead Electrical Engineer to join our team.
Added 2 days ago
KC
Junior Manufacturing Engineer
Kawartha Controls
Omemee, ON
- Full-time
…manufacturing systems. We are seeking a motivated Junior Manufacturing Engineer to join our engineering and manufacturing…
Added 3 days ago
R
Wireless Communications Engineer | LoRa, LTE & Satellite
Ranchflow
Halifax, NS
- Full-time
Familiarity with Python or tools for automated network testing
Added 3 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 3 days ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 3 days ago
FT
AI Field Engineer, EMEA
FDE Times
London, ON
- Full-time
As a Field Engineer in the Enterprise track you will work with large organizations and digital-native companies adopting GenAI across the business. These engagements span more stakeholders…
Added 3 days ago
PC
Senior Associate SIEM Implementation
PwC Canada
Montreal, QC
- Full-time
Conduct SIEM assessments to identify gaps, recommend improvements, and align with security best practices.
Added 3 days ago
TI
AI Software Development Engineer in Test
Trimble Inc.
Kamloops, BC
- Full-time
Location: Kamloos, Canada (Onsite - Four Days Per Week)
Added 3 days ago
RB
Lead, Full Stack Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
Software engineering background with at least one of the following languages: .NET, Java, or Python
Added 3 days ago
CC
Data Engineer
Canadian Cancer Society
Hamilton, ON
- Full-time
…lives and drive collective action against cancer. Together with patients, volunteers, donors and communities across the country, we raise funds to invest in transformative cancer research,…
Added 3 days ago
Q
AI and DSP Applications Software Engineer
Qualcomm
Markham, ON
- Full-time
We’re looking for an engineer with 1–3 years of experience, though new grads and more senior applicants are welcome. The candidate should have the following skills and experience:
Added 3 days ago
A
Ingénieur En Logiciel Embarqué
Actalent
Montreal, QC
- $50 to $60 CAD / hour
- Contract
Le poste se déroule principalement dans un environnement de bureau en cubicule, avec une présence sur site trois jours par semaine
Added 3 days ago
A
Test Engineer
Actalent
Ottawa, ON
- $50 to $60 CAD / hour
- Contract
Proficiency with Python for scripting and programming in test environments.

FDE Times

Full Stack LLM Engineer

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

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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.

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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 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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Jobs in Canada