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Added 1 month ago
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Engineering Manager, Data
Robinhood
Toronto, ON
- Full-time
Our Core Data Engineering team is responsible for designing and building all foundational datasets used across Robinhood and within our operational business areas. We build the foundational…
Added 1 month ago
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Precision Technology Summer Associate
BASF
Saskatoon, SK
- Temporary
Utilizing your comfort with statistical programming in R or Python to take on data analysis and model development tasks that enhance your problem-solving skills.
Added 1 month ago
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Staff Generative AI Engineer - Vice President
Citi
Mississauga, ON
- Full-time
Expert-level proficiency in Python is a must-have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services. Full-stack development…
Added 1 month ago
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Principal AI Cloud Engineer
BMO
Toronto, ON · FCP
- Full-time
The Team - We accelerate BMO’s AI journey by building cloud-native AI solutions. Our team combines engineering excellence with cutting-edge AI to deliver scalable, secure, and responsible…
Added 1 month ago
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Murex DevOps
Luxoft
Toronto, ON
- Full-time
Ensure compliance with security and data governance requirements
Added 1 month ago
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Applied AI Scientist
Mphasis
Canada
- Full-time
This is not primarily a conventional data science role, an LLM application-development role, or a prompt-engineering role. We are interested in people who want to understand how intelligent…
Added 1 month ago
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System Hardware Engineering Tester
Natus Medical Incorporated
Oakville, ON
- Full-time
System Hardware Engineering Tester – Natus Neuro
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Staff Data Engineer
commonsku
Remote, Canada
- $160,000 to $180,000 CAD / year
- Full-time
- Remote
Our core foundation for the Data Team is built on Snowflake. The rest of our tech stack is built on PHP, Python, React, mySQL and our infrastructure is in AWS.
Added 1 month ago
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Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras
Toronto, ON
- Full-time
Design and drive improvements to internal build infrastructure, test infrastructure, developer tooling, and automation that increase developer velocity and engineering productivity.
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ML Systems Integration Engineer
Cerebras
Toronto, ON
- Full-time
Continuously improve internal engineering workflows related to debugging, testing, and automation.
Added 1 month ago
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Full Stack LLM Engineer
Cerebras
Toronto, ON
- Full-time
Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field.
Added 1 month ago
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Senior SDET, Inference Platform
Cerebras
Toronto, ON
- Full-time
Partner with engineering teams to ensure high-quality, production-ready releases of the Cerebras Inference Platform.
Added 1 month ago
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Staff Cloud Infrastructure Engineer
Cerebras
Toronto, ON
- Full-time
Drive the design and architecture of secure, scalable cloud infrastructure and identity platforms in AWS and our own data centers.
Added 1 month ago
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Développeur(euse) en géomatique / GIS Developer
AtkinsRéalis
Montreal, QC
- Full-time
As part of the national GIS team, you will design and maintain automation and data integration solutions for the ALTO project. Working with GIS, CAD/BIM, engineering, and information…
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Staff GPU Inference SDET
Cerebras
Toronto, ON
- Full-time
…a new GPU Inference Development team. Working closely with engineering leads and cross-functional systems infrastructure teams, you will design, build, and scale the end-to-end release…
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Sr./Staff TPM - Inference Capacity
Cerebras
Toronto, ON
- Full-time
Strong data fluency: SQL, Grafana, basic Python or Flux to pull your own numbers without waiting for an analyst
Added 1 month ago
Bioinformatics Support Specialist
National Research Council Canada
Halifax, NS
…world-renowned research pushes the boundaries of science and engineering to make the impossible, possible. Every day we explore new ideas through innovative research and help companies…
Added 1 month ago
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Acquisition Software Developer
Teledyne Technologies Incorporated
Ottawa, ON · Richmond, BC · Canada - Ottawa, ON (TDY)
- Full-time
We are seeking an Acquisition Software Developer - GigE Vision with a passion for high-performance networking and machine vision systems to join our Software R&D team. The successful…
Added 1 month ago
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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 1 month ago
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AI Engineer/Ingénieur(e) en intelligence artificielle
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
Established over 20 years ago in Quebec, KPI is uniquely positioned as a Canadian leader across the Data, Analytics & AI ecosystem. Every day our team brings industry insights, unrivalled…
Added 1 month ago
Manager of Data Engineering
Robinhood
Toronto, ON
Our Core Data Engineering team is responsible for designing and building all foundational datasets used across Robinhood and within our operational business areas. We build the foundational…
Added 1 month ago
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Staff Software Engineer, Inference API
Cerebras Systems
Remote, Canada
- Full-time
- Remote
…teams, and customers directly. This is a hands-on software engineering role for someone who enjoys turning rapidly evolving ML capabilities into durable, production-quality…
Added 1 month ago
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Senior Product Development Engineering Specialist
Trudell Medical International
Waterloo, ON
- $105,000 to $125,000 CAD / year
- Full-time
The Senior Product Development Engineering Specialist is responsible for leading the mechanical development activities for advanced medical device programs while contributing to the overall…
Added 1 month ago
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AI Platform Engineering Lead
AGF Management
Toronto, ON
- Full-time
The AI Platform Engineering Lead is the senior technical authority for how AI is built at AGF. Reporting to the VP, Technology Services, the role defines the blueprints that AI solutions…
Added 1 month ago
AM
Forward Deployed AI Engineer
AGF Management
Toronto, ON
- Full-time
Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, Information Technology, or a related discipline.

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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