Jobs in Canada

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Added 1 month ago
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Staff UX Researcher
Okta
Toronto, ON
- $140,000 to $193,000 CAD / year
- Full-time
Staff-Level Expertise: 7+ years of hands-on UX research experience in complex B2B, developer, or enterprise software environments, with a track record of driving product impact at a Senior…
Added 1 month ago
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AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Advanced proficiency in Python and hands-on experience with applied AI and Generative AI frameworks and architectures.
Added 1 month ago
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Staff Software Engineer, Merchant Shopping Growth and Insights AI/ML
Google
Waterloo, ON
- Internship
Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
Added 1 month ago
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AI Engineer
RBC
Toronto, ON · Montreal, QC
- Full-time
Advanced proficiency in Python and hands-on experience with applied AI and Generative AI frameworks and architectures.
Added 1 month ago
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Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus.
Added 1 month ago
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Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus.
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus.
Added 1 month ago
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Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Deep production experience with Java, along with working proficiency in Python and Shell scripting.
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Deep production experience with Java, along with working proficiency in Python and Shell scripting.
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Deep production experience with Java, along with working proficiency in Python and Shell scripting.
Added 1 month ago
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Tech Lead - Software Engineering
DataVisor
Calgary, AB
- $130,000 to $170,000 CAD / year
- Full-time
Deep production experience with Java, along with working proficiency in Python and Shell scripting.
Added 1 month ago
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Tech Lead - Software Engineering
DataVisor
Vancouver, BC
- $130,000 to $170,000 CAD / year
- Full-time
Deep production experience with Java, along with working proficiency in Python and Shell scripting.
Added 1 month ago
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Tech Lead - Software Engineering
DataVisor
Toronto, ON
- $130,000 to $170,000 CAD / year
- Full-time
Deep production experience with Java, along with working proficiency in Python and Shell scripting.
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus
Added 1 month ago
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Senior Service Reliability Engineer
Fitch Ratings
Toronto, ON
- Full-time
You have built and maintained CI/CD pipelines (primarily GitHub Actions; Bamboo experience a plus) with DevSecOps principles baked in - integrating security scans, policy-as-code, and…
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Calgary, AB
- $120,000 to $150,000 CAD / year
- Full-time
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Vancouver, BC
- $120,000 to $150,000 CAD / year
- Full-time
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus
Added 1 month ago
2027 Intern Program, Technology Innovation - Future Opportunities
Bell
Montreal, QC
We believe in empowering people. That’s why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part…
Added 1 month ago
GD
Copy of Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
- $85,000 to $110,000 CAD / year
- Full-time
The ideal candidate will work closely with a large number of stakeholders to ensure smooth delivery pipelines, strong infrastructure-as-code practices, and a robust DevOps culture. This…
Added 1 month ago
Senior Service Reliability Engineer
Fitch Group
Toronto, ON
You have built and maintained CI/CD pipelines (primarily GitHub Actions; Bamboo experience a plus) with DevSecOps principles baked in - integrating security scans, policy-as-code, and…
Added 1 month ago
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Engineering Manager, Data
Robinhood
Toronto, ON
- Full-time
Strong hands-on experience with Python and Apache Spark, along with familiarity with cloud platforms like AWS and data technologies such as Databricks, Delta Lake, Flink, or Pinot/Druid.
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
As a Principal AI & Cloud Engineer , you are a hands-on technical developer who designs, builds, and scales cloud-native AI solutions and products. You help set engineering standards,…
Added 1 month ago
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Applied AI Scientist
Mphasis
Canada
- Full-time
Design and build agentic decision-support systems that can reason over data, interact with tools and models, maintain state, decompose complex problems and support consequential human…
Added 1 month ago
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ML Systems Integration Engineer
Cerebras
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…

Cerebras

ML Systems Integration 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.

Responsibilities

Participate in bring-up of next-generation AI hardware systems and supporting software infrastructure.
Debug complex system-level issues spanning hardware and software interactions.
Investigate failures occurring during system bring-up and identify root causes using logs, telemetry, and diagnostic tools.
Build automation frameworks and internal tooling that improve system validation and debugging workflows.
Develop software used to test, validate, and stress distributed hardware systems during development and production cycles.
Collaborate closely with hardware engineers to isolate and resolve system integration issues.
Improve system observability by building tools that surface failures quickly and accelerate debugging.
Reproduce, triage, and diagnose difficult issues that arise during early hardware deployment.
Support validation and qualification of new hardware generations as systems move toward production readiness.
Continuously improve internal engineering workflows related to debugging, testing, and automation.

Skills & Qualifications

BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related technical field.
Strong programming skills in Python and/or C++.
Excellent debugging and problem-solving skills with ability to investigate complex technical issues methodically.
Solid understanding of operating systems fundamentals (processes, threads, memory management, concurrency, IPC).
Experience working in Linux development environments.
Understanding of computer architecture and interactions between hardware and software systems.
Strong analytical thinking and ability to break down complex system failures into actionable root causes.
Ability to work effectively across multiple engineering teams and collaborate in highly technical environments.
Strong communication skills and willingness to work on ambiguous technical problems.

Preferred Skills & Qualifications

Experience building automation frameworks, internal tooling, or test infrastructure
Familiarity with distributed systems concepts
Experience debugging large-scale systems or complex infrastructure environments
Understanding of networking fundamentals and communication between distributed systems
Experience working with hardware-adjacent software or system integration environments
Familiarity with performance analysis, system telemetry, and log analysis
Exposure to production systems validation or infrastructure reliability engineering

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 and validate next-generation AI hardware systems, diagnose complex hardware-software integration failures, and collaborate with hardware engineers to resolve system issues. Build automation, testing, and observability tools that improve debugging and validation workflows through development and production readiness.

Requirements

A bachelor's or master's degree in computer science, computer engineering, electrical engineering, or a related technical field is required, along with strong Python and/or C++ programming skills. Candidates should have Linux experience, knowledge of operating systems and computer architecture, and strong analytical, debugging, and collaboration skills; experience with automation, distributed systems, networking, or system validation is preferred.

Skills

Python
C++
Linux
Operating Systems
Debugging
Computer Architecture
Hardware-Software Integration
Automation Frameworks
Test Infrastructure
Distributed Systems
Networking
System Telemetry
Log Analysis
Performance Analysis
System Validation
Concurrency

Visa sponsorship

Not detected in the job text

Keywords

Cerebras Systems
AI Hardware
AI Systems
Python
C++
Linux
Operating Systems
Processes
Threads
Memory Management
Concurrency
Interprocess Communication
Computer Architecture
Hardware-Software Integration
System Bring-Up
System Debugging
Root Cause Analysis
Automation Frameworks
Internal Tooling
Test Infrastructure
Distributed Systems
Networking
System Telemetry
Log Analysis
Performance Analysis
System Validation
Hardware Qualification
Infrastructure Reliability
Production Readiness

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