Jobs in Canada

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Added 12 hours ago
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Staff Software Engineer, Issues
Sentry
Toronto, ON
- $253,000 to $316,000 CAD / year
- Full-time
- Hybrid
…a history of events and of what people and agents have done with it. Make that history fast to search, filter and build on, for people in the UI and agents over the API, across PostgreSQL,…
Added 12 hours ago
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Senior Software Engineer, Evaluation Infrastructure
Waabi
Toronto, ON
- $127,000 to $223,000 USD / year
- Full-time
- Hybrid
Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.
Added 12 hours ago
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Research Engineer, World Models
Waabi
Toronto, ON
- $155,000 to $269,000 USD / year
- Full-time
- Hybrid
Strong software engineering and implementation: You have very strong Python & PyTorch (or JAX) skills; strong software-engineering fundamentals, and extensive experience with distributed…
Added 12 hours ago
Senior Software Engineer
Greenhouse
ON
Experience with Ruby, C#, Java, or Python; Ruby on Rails preferred
Added 12 hours ago
Senior Software Engineer
Greenhouse
BC
Experience with Ruby, C#, Java, or Python; Ruby on Rails preferred
Added 12 hours ago
Staff Quality Engineer
StackAdapt
Canada
Fluency in at least one of TypeScript, JavaScript, Python, or Java with preference for TypeScript
Added 12 hours ago
Automation Engineer, Agentic Orchestration
StackAdapt
Canada
StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the…
Added 12 hours ago
Data Developer
TextNow, Inc.
Waterloo, ON
TextNow is looking for an experienced Data Developer with hands-on experience designing and developing data platforms. You will own the design, development, and maintenance of TextNow's…
Added 12 hours ago
CS
ML Runtime and Kernel Engineer - Core ML
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Collaborate closely with Core ML researchers and compiler, runtime, kernel, and inference engineers to evaluate design alternatives and deliver end-to-end capabilities.
Added 12 hours ago
CS
Staff GPU Inference SDET
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
Expert-level Python programming skills with extensive experience designing custom test automation frameworks, diagnostic tooling, and CI/CD integration.
Added 12 hours ago
CS
Senior SDET, Inference Platform
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Strong programming skills in Python and/or Go (experience with both is a plus).
Added 12 hours ago
CS
Applied Machine Learning Research Scientist
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
You will work closely with researchers and senior engineers to implement and improve workflows for LLM pretraining, fine-tuning, and reinforcement learning-based post-training. This…
Added 12 hours ago
CS
ML Systems Performance Engineer
Cerebras Systems
Canada
- Full-time
…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…
Added 12 hours ago
HC
Intern - Software/ML Engineer
Human Computer Lab
Toronto, ON
- Internship
- Hybrid
…perception, intelligence, and behavior. You will work closely with the team to develop and deploy ML models, build real-time software systems, and integrate machine learning with robotic…
Added 12 hours ago
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Senior Product Security Engineer
LanceDB
Canada
- $180,000 to $250,000 USD / year
- Full-time
…petabytes of video, audio, and every signal derived from them with a few lines of Python, and the next training run starts as fast as the next idea. Customers like Runway, Midjourney, and…
Added 12 hours ago
C
Software Engineer, Security Agents
Cohere
Canada
- $215,000 to $325,000 USD / year
- Full-time
- Hybrid
- Strong Python development skills with significant production experience
Added 12 hours ago
C
Senior Member of Technical Staff, Safety and Security for Agents
Cohere
Toronto, ON · Montréal, QC
- $295,000 to $535,000 CAD / year
- Full-time
- Hybrid
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Added 12 hours ago
A
AMI Research Engineer
AMI
Montréal, QC
- Full-time
- On-site
…combine the scientific rigor of a top-tier research institute with focus on engineering excellence and…
Added 13 hours ago
R
Senior Manager, AI Engineering (.NET)
RBC
Toronto, ON
- Full-time
Must have a strong technical background, with practical experience supporting integration testing, and development with one or more language (.Net, Java, Python)
Added 14 hours ago
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Staff AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow, MLFlow , feature stores, cloud ML platforms
Added 14 hours ago
GC
AI Engineer
GEI Consultants, Inc.
Kitchener, ON
- $110,000 to $150,000 CAD / year
- Full-time
…solution reliability and performance. This role works closely with solution architects and platform teams to ensure AI solutions are production-ready, aligned with GEI standards, and…
Added 18 hours ago
C
Gen AI Architect (Hybrid)
Cognizant
Toronto, ON
- Full-time
Advanced hands-on proficiency with Python and modern software engineering practices for building APIs, automation solutions, orchestration frameworks, and data processing services.
Added 20 hours ago
J
Senior Risk Modelling & Analytics Manager (Fintech)
Jobber
Remote, Canada
- $145,860 to $197,430 CAD / year
- Full-time
- Remote
Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service…
Added 20 hours ago
NT
Senior AI/ML Software Engineer – Localization
NEARSOURCE TECHNOLOGIES
Vancouver, BC
- Full-time
Strong proficiency in Python and hands-on experience with transformer-based models, including Hugging Face or similar frameworks.
Added 20 hours ago
A
Localization Software Engineer
Applicantz
Vancouver, BC
- $65 to $75 CAD / hour
- Contract
Top 3 Must haves:

Cerebras Systems

ML Systems Performance Engineer

Canada

Full-time

Apply on jobs.ashbyhq.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 3+ years of experience in a relevant domain (Computer Architecture, CPU/GPU Performance, Kernel Optimization, HPC).
Posting language: English
Posted: Jan 21, 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

Engineers on the inference performance team operate at the intersection of hardware and software, driving end-to-end model inference speed and throughput. Their work spans low-level kernel performance debugging and optimization, system-level performance analysis, performance modeling and estimation, and the development of tooling for performance projection and diagnostics.

Responsibilities

Build performance models (kernel-level, end-to-end) to estimate the performance of state of the art and customer ML models.
Optimize and debug our kernel micro code and compiler algorithms to elevate ML model inference speed, throughput and compute utilization on the Cerebras WSE.
Debug and understand runtime performance on the system and cluster.
Develop tools and infrastructure to help visualize performance data collected from the Wafer Scale Engine and our compute cluster.

Requirements

Bachelors / Masters / PhD in Electrical Engineering or Computer Science.
Strong background in computer architecture.
Exposure to and understanding of low-level deep learning / LLM math.
Strong analytical and problem-solving mindset.
3+ years of experience in a relevant domain (Computer Architecture, CPU/GPU Performance, Kernel Optimization, HPC).
Experience working on CPU/GPU simulators.
Exposure to performance profiling and debug on any system pipeline.
Comfort with C++ and Python.

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.

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

The ML Systems Performance Engineer at Cerebras Systems will build performance models for ML models and optimize kernel microcode and compiler algorithms to speed up inference on the Cerebras WSE. They will debug runtime performance across systems and clusters and build tools to visualize performance data.

Requirements

Candidates need a Bachelor's, Master's or PhD in Electrical Engineering or Computer Science, strong computer architecture knowledge and 3+ years in a relevant domain such as CPU/GPU performance or kernel optimization. Experience with simulators, performance profiling, C++ and Python is required.

Skills

C++
Python
Kernel optimization
Microcode
Compiler design
Computer architecture
Performance modeling
Performance profiling
Performance debugging
GPU simulators
CPU simulators
Deep learning
LLM inference
Low-level math
HPC
Data visualization
Cluster debugging
Analytical problem solving

Keywords

ML performance engineer
inference optimization
kernel optimization
compiler
computer architecture
performance modeling
profiling
GPU
CPU
HPC
LLM
deep learning
C++
Python
simulators
WSE
wafer scale
AI hardware
machine learning
performance visualization

Seniority

Mid level

Tools

C++
Python
CPU/GPU simulators
Wafer Scale Engine
profiling tools

Fields of study

Electrical Engineering
Computer Science

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Work requirements

Jobs in Canada