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Added 1 hour 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 5 hours ago
Senior Quality Assurance Engineer
NetBrain
Toronto, ON
Founded in 2004, NetBrain is the leader in no-code network automation. Its ground-breaking Next-Gen platform provides IT operations teams with the ability to scale their hybrid multi-cloud…
Added 7 hours ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Junior Report Developer / Data Engineer with experience in developing, implementing, and maintaining enterprise data solutions using modern Azure cloud technologies. The…
Added 7 hours ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Junior Report Developer / Data Engineer with experience in developing, implementing, and maintaining enterprise data solutions using modern Azure cloud technologies. The…
Added 7 hours ago
SM
DevOps Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are looking for an experienced DevOps Engineer with 10+ years of experience in DevOps engineering, CI/CD automation, infrastructure management, containerization, orchestration, and…
Added 7 hours ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Junior Report Developer / Data Engineer with experience in developing, implementing, and maintaining enterprise data solutions using modern Azure cloud technologies. The…
Added 7 hours ago
SM
Java Developer or Python Developer – Data Lineage & Metadata
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are looking for a highly skilled Java Developer or Python Developer specializing in Data Lineage and Metadata Management with strong expertise in software engineering, backend…
Added 7 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 7 hours ago
SM
DevOps Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are looking for an experienced DevOps Engineer with 10+ years of experience in DevOps engineering, CI/CD automation, infrastructure management, containerization, orchestration, and…
Added 7 hours ago
SM
Java Developer or Python Developer – Data Lineage & Metadata
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are looking for a highly skilled Java Developer or Python Developer specializing in Data Lineage and Metadata Management with strong expertise in software engineering, backend…
Added 7 hours ago
SM
Java Developer or Python Developer – Data Lineage & Metadata
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are looking for a highly skilled Java Developer or Python Developer specializing in Data Lineage and Metadata Management with strong expertise in software engineering, backend…
Added 7 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 7 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 7 hours ago
SM
DevOps Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are looking for an experienced DevOps Engineer with 10+ years of experience in DevOps engineering, CI/CD automation, infrastructure management, containerization, orchestration, and…
Added 11 hours ago
L
Senior Cybersecurity Analyst - SOC
lululemon
Vancouver, BC
- Full-time
Experience with scripting languages such as Bash, PowerShell, or Python.
Added 13 hours ago
BC
Junior Data Analys
BIOAGRINEC CONSULTING & RECRUTEMENT
Canada
- Full-time
…early-career professionals who are passionate about working with data, identifying trends, and providing insights that support business…

FDE Times

Full Stack LLM Engineer

Toronto, ON, Canada

Full-time

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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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