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Added 1 month ago
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ML Systems Integration Engineer
Cerebras
Toronto, ON
- Full-time
Exposure to production systems validation or infrastructure reliability engineering
Added 1 month ago
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Full Stack LLM Engineer
Cerebras
Toronto, ON
- Full-time
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…
Added 1 month ago
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Senior FE Engineer - Inference Console
Cerebras
Toronto, ON
- Full-time
Operate at the intersection of product and infrastructure - the work spans developer experience, distributed systems, and real-time data, requiring both strong engineering and product…
Added 1 month ago
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FPGA Engineer
Cerebras
Toronto, ON
- Full-time
…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 month ago
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Software Engineer - Host and Network IO
Cerebras
Toronto, ON
- Full-time
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…
Added 1 month ago
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Senior SDET, Inference Platform
Cerebras
Toronto, ON
- Full-time
3+ years of experience in software engineering, QA/quality engineering, systems engineering, or infrastructure development.
Added 1 month ago
C
Staff Cloud Infrastructure Engineer
Cerebras
Toronto, ON
- Full-time
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…
Added 1 month ago
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Développeur(euse) en géomatique / GIS Developer
AtkinsRéalis
Montreal, QC
- Full-time
…solutions for the ALTO project. Working with GIS, CAD/BIM, engineering, and information management teams, you will develop reusable ETL workflows, automate data validation and…
Added 1 month ago
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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…
Added 1 month ago
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Sr./Staff TPM - Inference Capacity
Cerebras
Toronto, ON
- Full-time
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…
Added 1 month ago
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Quality Control Technician Nuclear Manufacturing
AAA Canada
ON · Ontario, Canada
- Full-time
Maintain and verify employee training records using electronic systems and hard-copy records.
Added 1 month ago
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Plant Manager-Manufacturing
Pangeo Group
Vaughan, ON
- $150,000 to $190,000 CAD / year
- Full-time
…operation of the whole site, including its people, equipment, and systems, and you are accountable for its results across safety, quality, cost, delivery, and the…
Added 1 month ago
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Reliability Analyst - Maintenance, Buildings & Equipment Team
Bombardier
Dorval, QC
- Full-time
Ensure cross-department coordination: Collaborate with production, engineering, and supply teams to integrate reliability into design and planning.
Added 1 month ago
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PLM Business Solution Delivery Professional
Bombardier
Montreal, QC
- Full-time
The Product Lifecycle Management (PLM) and CAD Solutions team leads the development, deployment and adoption of the engineering solutions required to modernize Bombardier's product…
Added 1 month ago
A
Bim Coordinator
AtkinsRéalis
Montreal, QC
- Full-time
We're AtkinsRéalis , a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems.…
Added 1 month ago
TP
Senior Production Manager
Teva Pharmaceuticals
Whitchurch-Stouffville, ON
- Full-time
Support the implementation and sustainability of operational excellence programs, visual management systems, TPM, and continuous improvement activities.
Added 1 month ago
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Project Accountant
AtkinsRéalis
Mississauga, ON
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together,…
Added 1 month ago
A
Project Accountant
AtkinsRéalis
Mississauga, ON
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together,…
Added 1 month ago
TM
Senior Electrical Engineering Specialist
Trudell Medical International
Kitchener, ON
- $105,000 to $125,000 CAD / year
- Full-time
Collaborate with mechanical, firmware, systems, manufacturing, quality, regulatory, and test engineering teams throughout product development
Added 1 month ago
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Software Engineer, Inference Platform
Cerebras
Toronto, ON
- Full-time
3+ years of experience in software engineering, with experience building and operating large-scale distributed systems or cloud infrastructure.
Added 1 month ago
FH
Equipment Planner
Fraser Health
Surrey, BC
- Full-time
A level of education, training and experience equivalent to a Bachelor’s degree in Biomedical Engineering, clinical engineering, biomedical technology, or health technology, supplemented
Added 1 month ago
FH
Portfolio Manager
Fraser Health
Surrey, BC
- Full-time
A Bachelor’s degree in Information Technology, Engineering, Computer Science, or a related discipline
Added 1 month ago
Graduate Environmental Scientist / Geoscientist (Hiring Day ON)
GHD Group Pty Ltd
Waterloo, ON
…buildings, transportation networks, environmental solutions, water systems, and energy…
Added 1 month ago
Senior Director, IAM Product, Architecture, and Governance
Scotiabank
Toronto, ON
…platforms, partnering with business channels, fraud technology, Engineering, and key stakeholders to align critical capabilities, oversee execution (including vendor selection, MVP…
Added 1 month ago
W
Acoustics & Vibration Engineer
Wood
Calgary, AB
- Full-time
…that we do not employ artificial intelligence or automated systems to screen or select candidates. We are committed to ensuring fairness and inclusivity by relying on the expertise from a…

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

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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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