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Added 11 days ago
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Murex DevOps
Luxoft
Toronto, ON
- Full-time
Role Summary: As a DevOps Engineer, you will be responsible for designing, building, and operating automated platforms that enable reliable, secure, and scalable delivery of the MX platform…
Added 11 days ago
JG
Senior DevSecOps & AI Engineer
J&M Group
Toronto, ON
- Contract
We are hiring for a Senior DevSecOps & AI Engineer. This role focuses on application security, DevSecOps, cloud security, and AI/LLM security across enterprise applications and platforms.
Added 11 days ago
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Applied AI Scientist
Mphasis
Canada
- Full-time
…The objective is not to demonstrate how quickly you can type Python; it is to produce excellent…
Added 11 days ago
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Staff Data Engineer
commonsku
Remote, Canada
- $160,000 to $180,000 CAD / year
- Full-time
- Remote
As our team expands, we are looking for a Staff Data Engineer to partner with our Data team! In this position, you will architect and maintain a reliable, seamless, and high-impact…
Added 11 days ago
Développeur Logiciel Temps Réel C++ Hypersim / C++ Real Time Software Developer, Hypersim
OPAL-RT
Montreal, QC
Compétences requises : Expérience en langage de programmation : C++, Python ; Expérience avec la programmation multithreading ; Expérience avec Git
Added 11 days ago
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Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras
Toronto, ON
- Full-time
Proficiency in Python, Go, Shell, or another language used for infrastructure automation and developer tooling.
Added 11 days ago
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ML Systems Integration Engineer
Cerebras
Toronto, ON
- Full-time
Strong programming skills in Python and/or C++.
Added 11 days ago
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Full Stack LLM Engineer
Cerebras
Toronto, ON
- Full-time
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…
Added 11 days ago
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Senior SDET, Inference Platform
Cerebras
Toronto, ON
- Full-time
Strong programming skills in Python and/or Go (experience with both is a plus).
Added 11 days ago
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Staff Cloud Infrastructure Engineer
Cerebras
Toronto, ON
- Full-time
Develop automation, integrations, and infrastructure-as-code solutions using Terraform and programming languages such as Python and Go.
Added 11 days ago
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Développeur(euse) en géomatique / GIS Developer
AtkinsRéalis
Montreal, QC
- Full-time
Strong command of SQL in PostgreSQL; knowledge of Python, REST APIs, web services, and version-control practices is considered an asset.
Added 11 days ago
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Staff GPU Inference SDET
Cerebras
Toronto, ON
- Full-time
Engineer chaos engineering and fault-injection suites to simulate node failures, inter-node network degradation, GPU memory leaks, driver/firmware mismatches, and automated recovery paths…
Added 11 days ago
AW
Senior AI Engineer - AI Platform & ML Engineering
Aviso Wealth
Remote, Canada
- $135,000 to $150,000 CAD / year
- Full-time
- Remote
We’re looking for an AI Engineer, AI Platform & ML Engineering to join our Data & AI Technology Partners team. Reporting to the Sr. Director of Data Science and AI Enablement, the AI…
Added 11 days ago
KM
Senior Data Engineer – Ingénieur des données
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
Has the title implied, the candidate is a data engineer meaning he is a full fledge experienced developer very solid in both Python and Spark
Added 11 days ago
KM
AI Engineer/Ingénieur(e) en intelligence artificielle
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
We are seeking an AI Engineer with deep technical expertise and a passion for cutting-edge innovation in artificial intelligence and machine learning. As part of our AI & Advanced Analytics…
Added 11 days ago
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Senior AI Engineer - AI Platform & ML Engineering IT-26-229
Aviso
Toronto, ON
- $135,000 to $150,000 CAD / year
- Full-time
We're looking for an AI Engineer, AI Platform & ML Engineering to join our Data & AI Technology Partners team. Reporting to the Sr. Director of Data Science and AI Enablement, the AI…
Added 11 days ago
Manager of Data Engineering
Robinhood
Toronto, ON
3+ years of experience as an engineering manager, with 5+ years of prior experience as a software engineer or data engineer.
Added 11 days ago
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Innovation Hub Solution Engineer - Application Development
Microsoft
Toronto, ON · Goodwood, ON
- Full-time
As an Innovation Hub Solution Engineer in the Microsoft Innovation Hub, with a focus on Application Innovation, you will merge business and technical requirements to craft comprehensive…
Added 11 days ago
CS
Staff Software Engineer, Inference API
Cerebras Systems
Remote, Canada
- Full-time
- Remote
We are hiring a Software Engineer to build and evolve the ML API layer that makes this heterogeneous serving system accessible, reliable, and easy to use. You will work across our inference…
Added 11 days ago
I
Senior Designer, Optoelectronics
IMAX
Mississauga, ON · Sheridan Park
- Full-time
IMAX is seeking a Senior Optoelectronics Designer/Engineer to play a key role in the research, development, validation, and continuous improvement of next-generation entertainment…
Added 11 days ago
TM
Product Development Engineering Specialist
Trudell Medical International
Waterloo, ON
- $80,000 to $95,000 CAD / year
- Full-time
With oversight from Senior, Principal Engineer or Product Development Project Lead, design mechanical or electromechanical solutions to support device design
Added 11 days ago
TM
Senior Product Development Engineering Specialist
Trudell Medical International
Waterloo, ON
- $105,000 to $125,000 CAD / year
- Full-time
…sub-systems to support product design. Acting as design responsible engineer (DRE) or as an advisor to more junior…
Added 11 days ago
AM
AI Platform Engineering Lead
AGF Management
Toronto, ON
- Full-time
…carrying technical leadership responsibility, intended for an engineer-architect who is energized by building a new capability from a blank page and who is comfortable making decisions with…
Added 11 days ago
AM
Forward Deployed AI Engineer
AGF Management
Toronto, ON
- Full-time
The Forward Deployed AI Engineer is a hands-on technical expert responsible for partnering directly with business stakeholders to identify opportunities, design solutions, and build…
Added 11 days ago
RB
Lead Platform Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Are you interested in working as a Lead Platform Engineer on the Global Payments Platform and DevOps team in Technology & Operations at the Royal Bank of Canada?

Cerebras

Full Stack LLM Engineer

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 21, 2026
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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