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Added 13 mins ago
Senior Conversational AI Engineer/Architect (P4)
Apex Systems
Mississauga, ON
$85 to $95 USD / hour
Full-time
Senior Conversational AI Engineer, EmployeeWorks Platform
Added 13 mins ago
Full Stack Software Developer
Engineered Arts
Montreal, QC
Full-time
…welcome, supported, and empowered to contribute. Whether you’re an engineer, developer, or creative thinker, we value what makes you…
Added 14 mins ago
DevOps Engineer
Proofpoint
Toronto, ON
Full-time
We are seeking a curious and self-motivated DevOps Engineer with experience in building
Added 14 mins ago
Tech Lead - Software Engineering
DataVisor
Remote, Canada
Full-time · Remote
DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy…
Added 14 mins ago
Tech Lead - Software Engineering
DataVisor
Remote, Canada
Full-time · Remote
DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy…
Added 14 mins ago
Tech Lead - Software Engineering
DataVisor
Remote, Canada
Full-time · Remote
DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy…
Added 14 mins ago
Lead Data Platform Engineer 1
McKesson
Mississauga, ON
Full-time
McKesson is seeking a Lead Data Platform Engineer 1 to define and drive the future of our enterprise data ecosystem. In this highly visible technical leadership role, you will establish…
Added 14 mins ago
Cloud Site Reliability Engineer II
Barracuda Networks Inc.
Ottawa, ON
As a Cloud Site Reliability Engineer II on the CloudOps Platform team, you will focus on the observability, monitoring, dashboards, and automation systems that power Barracuda’s…
Added 28 mins ago
Full Stack Software Engineer
Remarcable, Inc.
Remote, Canada
$100,000 to $150,000 CAD / year
Full-time · Remote
Remarcable is the intelligent procurement and material operations platform transforming how trade contractors (electrical, plumbing, HVAC) and suppliers work together. Processing over $1B…
Added 28 mins ago
Sr. Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Sr. Software Development Engineer to lead the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects,…
Added 40 mins ago
Senior Product Manager, PolicyCenter
Guidewire Software
Canada
Full-time
Coordinate across the suite. Work with PMs across BillingCenter, ClaimCenter, the Guidewire Cloud Platform, and rating/underwriting integrations to ensure your area fits the broader carrier…
Added 40 mins ago
Tech Lead - Software Engineering
DataVisor
Calgary, AB
$130,000 to $170,000 CAD / year
Full-time
DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy…
Added 40 mins ago
Software Technical Leader
Cisco
Fredericton, NB
Full-time
Senior Software Engineer - Cloud Data Ingestion Platform
Added 40 mins ago
Software Technical Leader
Cisco
Halifax, NS
Full-time
Senior Software Engineer - Cloud Data Ingestion Platform
Added 43 mins ago
Tech Lead - Software Engineering
DataVisor
Vancouver, BC
$130,000 to $170,000 CAD / year
Full-time
DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy…
Added 43 mins ago
Software Technical Leader
Cisco
Mississauga, ON
Full-time
Senior Software Engineer - Cloud Data Ingestion Platform
Added 43 mins ago
Tech Lead - Software Engineering
DataVisor
Toronto, ON
$130,000 to $170,000 CAD / year
Full-time
DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy…
Added 43 mins ago
DevOps Engineer
Proofpoint
Toronto, ON
Full-time
We are seeking a curious and self-motivated DevOps Engineer with experience in building
Added 58 mins ago
Principal AI/ML Engineer
Vanguard
Toronto, ON
Full-time
As a Principal AI Engineer, you will serve as a senior technical leader responsible for transforming state-of-the-art AI research into scalable, production-ready capabilities that create…
Added 58 mins ago
Application Engineer - III
Vanguard
Toronto, ON
Full-time
Independent builder. A capable full-stack engineer who can work independently and take a product from idea to production.
Added 58 mins ago
Senior/Staff Software Engineer
Toast
Canada
International: Scaling Toast’s core platform globally. You'll tackle localization, multi-currency architectures, international payment integrations, and regional compliance as we expand…
Added 58 mins ago
Engineer II - IAM Federation Services
TD
Toronto, ON
Full-time
Design & engineer enhancements and upgrades to our existing IAM platforms. Produce enterprise-level designs to meet business, application and security requirements.
Added 58 mins ago
Senior Backend Engineer
Woodbine Entertainment
Toronto, ON · Woodbine HQ
Full-time
The Sr. Backend Engineer is responsible for the operational health, administration, security, reliability, and continuous improvement of enterprise business platforms, data integration…
Added 1 hour ago
Senior Service Reliability Engineer
Fitch Ratings
Toronto, ON
Full-time
Fitch Group is currently seeking a Senior Service Reliability Engineer to embed with Fitch Ratings development squads in Toronto and to partner with developers across Chicago, London,…
Added 1 hour ago
Senior Machine Learning Engineer- AIOS
Zafin
Toronto, ON
Zafin is an AI platform company helping regulated institutions modernize how critical work is designed, governed, and delivered. Our technology enables organizations to move faster while…

Cerebras

Full Stack LLM Engineer

Toronto, ON, Canada

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

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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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