Jobs in Canada

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Added 4 days ago
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Senior Security Software Engineer/Developer
Vecima Networks Inc.
Canada
- Full-time
We are looking for a Senior Security Software Engineer / Developer to work directly with our software and product engineering teams to design, build, test, release, and maintain well…
Added 4 days ago
LT
DevOps Platform Engineer
Lorven Technologies Inc.
Montreal, QC
- Contract
Job Title: Senior DevOps & Python Platform Engineering Specialist
Added 4 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 4 days ago
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Senior Python Engineer
Collabera
Toronto, ON
- $90 to $95 CAD / hour
- Contract
Python & Backend Development: Strong enterprise Python development experience, including building RESTful APIs and backend services.
Added 4 days ago
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Machine Learning Engineer
Hays
Toronto, ON
- Contract
We’re looking for a hands-on Machine Learning Engineer to develop and improve ML and deep learning models that power personalization across our retail ecosystem.
Added 4 days ago
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Senior Java Full Stack Developer
Miratech
Kitchener, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 4 days ago
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UiPath Automation Engineer
Viva Tech Solutions
Toronto, ON
- Contract
Experience with PowerShell and/or Linux shell scripting; Python experience is beneficial.
Added 4 days ago
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Senior Software Engineer
Vylan
Montreal, QC
- Full-time
Role Description As a Senior Software Engineer at Vylan, you will design, develop, and maintain core features of our accounting platform, with a focus on reliability, scalability, and…
Added 4 days ago
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Senior Java Full Stack Developer
Miratech
London, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 4 days ago
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Senior Product Security Engineer
PheedLoop
Toronto, ON · North York, ON
- Full-time
Comfort in modern stacks like Python / Django, React, and AWS. You don't need to be a senior software engineer, but you can read application code, understand a deployment pipeline, and…
Added 4 days ago
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Senior Data Analytics & Performance Engineer
Enbridge
Calgary, AB · Edmonton, AB
- Full-time
…innovation. We are seeking a Senior Data Analytics & Performance Engineer to join our…
Added 4 days ago
DevOps / Cloud Engineer
Capgemini
Toronto, ON
We are looking for a hands-on DevOps / OpenShift Engineer with approximately 5 to 6 years of DevOps, container platform, and cloud engineering experience. The ideal candidate will have…
Added 4 days ago
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Application Security Engineer
TMX Group
Toronto, ON
- $105,000 to $115,000 CAD / year
- Full-time
An Application Security Engineer will be responsible for implementing the design and
Added 4 days ago
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Senior Software Engineer
Milya AI
Montreal, QC
- Full-time
Role Title: Senior AI Engineer – Full-Stack & Ambient Voice (Startup / On-Site)
Added 4 days ago
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Lead Software Test Framework Engineer
Qualcomm
Markham, ON
- Full-time
We are searching for a Software Test Framework Engineer Lead to be a part of the QCT AI Proc Solution team responsible for design and integration of leading edge technologies in the area of…
Added 4 days ago
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Senior Mask Design Engineer - Hardware
NVIDIA
Toronto, ON · Canada, Toronto
- Full-time
We are looking for a Senior Mask Layout Design Engineer, someone who is excited to join a growing and dynamic group of diverse individuals responsible for handling meaningful high-speed…
Added 4 days ago
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Senior Forward Deployed Engineer
Didero
Toronto, ON
- Full-time
We are looking for a Senior Forward Deployed Engineer to join our team. This role is ideal for a technically strong, customer-facing engineer who can understand complex customer operations,…
Added 4 days ago
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Security Engineer, Vulnerability Management
LiveKit
Canada
- Full-time
…their data and their business at risk. We are hiring a Security Engineer to build and run our vulnerability management and security operations program. Vulnerability management is a core…
Added 4 days ago
RV
Senior Hardware Engineer-Platforms
Ross Video
Ottawa, ON · Nepean, ON
- Full-time
The ideal candidate is a pragmatic hardware systems engineer who understands how FPGA logic, PCB construction, signal integrity, power distribution, clocks, firmware, thermal behavior, and…
Added 5 days ago
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Staff Site Reliability Engineer, Application
Guidewire Software
Toronto, ON
- Full-time
…mission-critical applications. As a Staff Site Reliability Engineer, you aren't just maintaining systems; you are defining the technical vision for how we operate at scale, setting the…
Added 5 days ago
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AI Inference Core - Software Integration Engineer
Cerebras
Toronto, ON
- Full-time
We are looking for a Software Integration Engineer to join the AI Inference Core team at Cerebras. This team sits at the intersection of AI infrastructure, distributed systems, compilers,…
Added 5 days ago
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Applied AI Engineer
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Applied AI Engineer based in Canada.
Added 5 days ago
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Forward Deployed Engineer
Didero
Toronto, ON
- $90,000 to $130,000 CAD / year
- Full-time
We are looking for a new-graduate Forward Deployed Engineer to join our team in Toronto. This role is for a technically strong, curious engineer who wants to work directly with customers,…
Added 5 days ago
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GTM Engineer
Didero
Toronto, ON
- Full-time
As a GTM Engineer at Didero, you’ll help build and scale the systems that power our go-to-market growth. Combining technical problem-solving, data, automation, and creative outbound…
Added 5 days ago
CL
Member of Technical Staff (Migrations)
Cockroach Labs
Toronto, ON · North York, ON
- Full-time
…and Cockroach Continuum. We're looking for a staff software engineer to help build out the Migration Assistant, expand the capabilities of the MOLT toolkit, and to drive innovation around…

Cerebras

AI Inference Core - Software Integration Engineer

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

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Job details

Job type: Full-time
Apply by: Dec 5, 2026
Posting language: English
Posted: Nov 5, 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 looking for a Software Integration Engineer to join the AI Inference Core team at Cerebras. This team sits at the intersection of AI infrastructure, distributed systems, compilers, runtimes, kernels, and hardware/software co-design.

The Innovation Engine for Inference Core - turning ideas into reality.

You will help take ambitious ideas from concept to working reality across the Cerebras inference stack. You will integrate and validate cross-component projects of high complexity, often on accelerated timelines, and work directly with engineers across AI, runtime, compiler, kernel, systems, and hardware teams.

A Special Task Force, Not a Typical Engineering Role

Zero-to-one mission: Take incomplete ideas and early prototypes all the way to working, validated capabilities.
Cross-stack complexity: Move across AI frameworks, runtime, compiler, kernels, distributed systems, infrastructure, and hardware - not just one component or codebase.
Accelerated and dynamic cadence: Expect focused daily syncs, rapidly changing priorities, and periods of intense integration work. This is not a role for engineers seeking strictly regular, predictable work hours.
Comfortable on the hot seat: Take ownership when the path is unclear, make sound decisions with incomplete information, and stay effective when timelines are tight.
Bias for action: At critical moments, the mindset is “No Process, No Documentation, Just Get Stuff Done!!!” Cut through unnecessary ceremony, deliver the result, and then turn what you learned into better automation, diagnostics, documentation, and repeatable practices.
Team multiplier: Always push the work forward while raising the pace, clarity, and effectiveness of the people around you. We want people who bring the team with them - not lone heroes.

We prefer candidates with experience in software/hardware co-design or other complex systems, but that experience is not required. We welcome exceptional junior engineers who are eager to learn, do not shy away from ambiguity or hard work, and can demonstrate strong fundamentals, curiosity, ownership, and persistence.

What You Will Do

Turn new inference ideas and features into integrated, working capabilities across the Cerebras platform.
Take high-value projects from zero to one - from an incomplete idea or prototype to a working, validated capability.
Integrate and validate software components spanning AI frameworks, runtime, compiler, kernels, distributed systems, and hardware.
Drive cross-component projects of high complexity from problem definition through integration, validation, and release readiness.
Collaborate closely with software and hardware engineers to make co-design trade-offs and resolve system-level issues.
Investigate and debug difficult failures across large-scale AI workloads, distributed software, infrastructure, and hardware boundaries.
Work effectively on accelerated timelines while keeping technical risks, dependencies, and decisions visible.
Participate in focused daily syncs, manage rapidly changing priorities, and drive ambiguous situations toward concrete outcomes.
Identify bottlenecks, failure modes, edge cases, and integration gaps that affect inference correctness, performance, or delivery.
Capture the essential lessons from urgent work so the next integration is faster and less chaotic.
Create momentum beyond your own work by helping teammates move faster, make better decisions, and close difficult problems together.

Minimum Skills & Qualifications

Strong software-engineering fundamentals and programming ability in Python, C++, Go, or a similar language.
Experience with software/hardware co-design, hardware accelerators, compilers, kernels, runtimes, or low-level systems.
Experience debugging complex systems, distributed software environments, or large-scale compute clusters.
Experience with AI infrastructure, model deployment, LLMs, or multimodal workloads.
Exposure to performance debugging, profiling, observability, or failure analysis.
Familiarity with microservices, containers, cluster orchestration, cloud infrastructure, or high-performance computing.
Experience - through professional work, internships, research, academic projects, open source, or equivalent hands-on work - building or debugging software systems.
Clear communication and strong collaboration across disciplines and levels of experience.

Preferred Skills

Experience in a startup or similarly fast-moving, resource-constrained engineering environment.
Demonstrated experience taking a project from zero to one: turning an ambiguous problem, early idea, or prototype into a working and reliable capability.
Demonstrated ability to break down ambiguous technical problems, form hypotheses, gather evidence, and drive issues to resolution.
Curiosity about how complex systems behave across component boundaries.
Willingness to read unfamiliar code, learn new layers of the stack, and take ownership beyond a narrowly defined area.
Ability to work hard and stay effective during periods of uncertainty, rapid change, and accelerated delivery.
Track record of driving cross-team projects from an incomplete idea to a reliable working result.

Location

This role follows a hybrid schedule and requires in-office presence three days per week. Fully remote work is not available.
Office locations: Sunnyvale, CA or Toronto, ON.

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

Integrate and validate inference capabilities across AI frameworks, runtimes, compilers, kernels, distributed systems, infrastructure, and hardware, taking projects from early ideas or prototypes through release readiness. Debug complex system-level issues, coordinate across software and hardware teams, and improve integration practices while delivering on accelerated timelines.

Requirements

Candidates need strong software engineering fundamentals and hands-on experience building or debugging software systems, with relevant exposure to areas such as AI infrastructure, hardware accelerators, compilers, runtimes, distributed systems, or large-scale compute. The role also calls for clear cross-disciplinary communication, collaboration, and the ability to take ownership and resolve ambiguous technical problems.

Skills

Python
C++
Go
Software Integration
Software/Hardware Co-Design
AI Infrastructure
Distributed Systems
Compilers
Kernels
Runtimes
Hardware Accelerators
Debugging
Performance Profiling
Model Deployment
Cluster Orchestration
High-Performance Computing

Visa sponsorship

Not detected in the job text

Keywords

Cerebras Systems
AI Inference
AI Infrastructure
Software Integration
Software/Hardware Co-Design
Distributed Systems
AI Frameworks
Compilers
Kernels
Runtimes
Hardware Accelerators
Python
C++
Go
Large Language Models
Multimodal Workloads
Model Deployment
Performance Debugging
Profiling
Observability
Failure Analysis
Microservices
Containers
Cluster Orchestration
Cloud Infrastructure
High-Performance Computing
Inference Correctness
System Integration
Release Readiness
Cross-Team Collaboration

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Work requirements

Jobs in Canada