Jobs in Canada

Group jobs by employerSave search & get alerts

Added 1 day ago
I
.NET Application and Solutions Architect - Assistant Vice President
iCapital
Toronto, ON
- Full-time
Added 1 day ago
O
Marketing Lead
OpsLevel
Toronto, ON
- $100,000 to $150,000 CAD / year
- Full-time
Added 1 day ago
CS
AI Fleet Platform Software Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
Added 1 day ago
CS
ML Runtime and Kernel Engineer - Core ML
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
Added 1 day ago
CS
Software Engineer - Host and Network IO
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
…system, and over the proprietary IOs onto the WSE. As a software developer on the team, you will interface between AI application-level IO teams, cluster architecture teams, and FPGA/ASIC…
Added 1 day ago
CS
Staff GPU Inference SDET
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
Added 1 day ago
CS
Senior Staff AWS Platform Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Drive technical direction and cross-team initiatives that improve the scalability, reliability, security, and developer experience of our infrastructure.
Added 1 day ago
CS
Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Design and drive improvements to internal build infrastructure, test infrastructure, developer tooling, and automation that increase developer velocity and engineering productivity.
Added 1 day ago
CS
Senior Backend Engineer, Inference Cloud
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
…power Cerebras Inference Cloud. Your work will support the Developer Console and the broader backend systems that developers and enterprises rely on to access, manage, and operate inference…
Added 1 day ago
CS
Cluster Operations Software Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
Added 1 day ago
CS
AI Inference Core - Senior Senior Software Engineer for DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
…execution engines, scheduling systems, test infrastructure, developer tools, and reusable software platforms that allow engineers to build, test, qualify, and deliver software reliably at…
Added 1 day ago
CS
Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Contribute to internal build infrastructure, test infrastructure, tooling, and automation that improves developer velocity and engineering productivity.
Added 1 day ago
CS
Senior SDET, Inference Platform
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Experience building automation tools, testing frameworks, or internal developer tooling.
Added 1 day ago
CS
Software Engineer, Inference Platform
Cerebras Systems
Toronto, ON
- Full-time
- On-site
Added 1 day ago
CS
Applied Machine Learning Research Scientist
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
Added 1 day ago
CS
ML Systems Performance Engineer
Cerebras Systems
Canada
- Full-time
Added 1 day ago
CS
Staff Software Engineer, Inference Platform
Cerebras Systems
Toronto, ON
- Full-time
- On-site
Added 1 day ago
CS
FPGA Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
…system, and over the proprietary IOs onto the WSE. As an FPGA developer on the team, you will own the in-chassis IO subsystem consisting of i) several cluster-facing RoCE v2 network…
Added 1 day ago
HC
Intern - Software/ML Engineer
Human Computer Lab
Toronto, ON
- Internship
- Hybrid
Added 1 day ago
PS
GTM Engineer
Plane Software, Inc.
Canada
- Full-time
- You have run outbound for an open-source, open-core, or developer-facing product, for an audience that can read your code.
Added 1 day ago
E&
Consulting Internship (AI/Strategy | Healthcare)
Eastwood & Cleef
Toronto, ON
- Internship
- Hybrid
Location: Toronto (Hybrid) with 1-2 days per week of in-person collaboration in Toronto, Canada, and Tampa, Florida
Added 1 day ago
E&
Consultant / Sr. Consultant (AI & Strategy | Healthcare)
Eastwood & Cleef
Toronto, ON
- Full-time
- Hybrid
Added 1 day ago
Enterprise Account Executive - Federal
Appian Corporation
Ottawa, ON
Added 1 day ago
Account Executive, North America
ASG
Toronto, ON
Added 1 day ago
L
Senior Product Security Engineer
LanceDB
Canada
- $180,000 to $250,000 USD / year
- Full-time

Closed listing

Cerebras Systems

Full Stack LLM Engineer

Toronto, ON, Canada

Hybrid

Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Full-time
Workplace: Hybrid
Posting language: English
Posted: Jul 18, 2025

Similar jobs hiring now

Search current openings

Original job description

Archived listing. The details below describe a past opening.

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

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.

About employer

More about this job

Responsibilities

The Full Stack LLM Engineer at Cerebras Systems will bring machine learning models up end to end on Cerebras hardware. They will work across the software stack, from model code and compilers to runtime and performance, and debug issues that span them.

Requirements

Candidates need a degree in computer science, engineering or a related field, plus experience with deep learning frameworks, C/C++ low-level optimization and compiler development such as LLVM or MLIR. Strong debugging and optimization skills, including work on NP-hard problems, are also expected.

Skills

Python
C
C++
PyTorch
TensorFlow
LLVM
MLIR
Compiler optimization
Performance profiling
Debugging
Low-level optimization
Model architecture
Graph lowering
Runtime integration
Numerical accuracy
Optimization algorithms
NP-hard problems
Deep learning
Attention mechanisms
Mixture of Experts
Diffusion models
Hardware utilization

Benefits

Professional growth and career advancement

Keywords

LLM
machine learning
model bringup
PyTorch
TensorFlow
C++
C
LLVM
MLIR
compiler development
performance profiling
inference
deep learning
attention
MoE
diffusion
NP-hard optimization
runtime integration
full stack
AI hardware

Tools

PyTorch
TensorFlow
LLVM
MLIR
C++

Languages

English

Fields of study

Computer Science
Engineering

Report this job

Work requirements

Jobs in Canada