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Added 27 mins ago
P&
Stage- Gestion des Programmes Moteurs – Introduction de Nouveau produit / Internship- Operations Program Management – New Product Introduction
Pratt & Whitney
Longueuil, QC
- Full-time
Mise en place d’indice de performance clé (KPI) pour rapporter les progrès sur différents aspects (% Pièces reçues / % Bons de commandes placés etc.)
Added 27 mins ago
GS
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 42 mins ago
Civil Engineer
Rogers Communications
Vancouver, BC
Define the scope by selecting an EOR (Engineer of Record), requesting engineering and quotes (RFQs), reviewing quotes and budgets, and submitting them for PO issuance through the Rogers…
Added 57 mins 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 57 mins ago
KG
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KGS Group
Vancouver, BC
- Full-time
We are looking for an Senior Structural Engineer to join our Structural team in our Vancouver office. In this role you will manage projects and provide technical contributions to these…
Added 1 hour ago
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Applied AI Engineer
Jobgether
Canada
- Full-time
As an Applied AI Engineer, you will build and operate the core AI infrastructure that powers reliable, secure, and scalable AI features in production environments. You will focus on AI…
Added 1 hour ago
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GTM Engineer
Didero
Toronto, ON
- Full-time
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Added 1 hour ago
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Jr. Algorithm Engineer
Dynamsoft
Vancouver, BC
- $50,000 to $70,000 CAD / year
- Full-time
We are looking for a motivated and intellectually curious Jr. Algorithm Engineer to join our Vancouver-based Algorithm Team. This is an excellent opportunity for a recent graduate or…
Added 2 hours ago
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Staff Technology Operations Lead
TJX Companies
ON · Mississauga, Ontario
- $105,152.2 to $155,152.2 CAD / year
- Full-time
Act in a Lead Engineer capacity in modernizing front and back of stores systems by prioritizing, providing guidance and resolving issues
Added 2 hours ago
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Senior Backend Engineer (Python/GCP)
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Toronto, ON
- Contract
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Added 3 hours ago
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Senior Electrical Engineer
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Calgary, AB · Edmonton, AB
- Full-time
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S M Software Solutions Inc
Toronto, ON
- Full-time
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Added 3 hours ago
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Coordinator - System
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Guelph, ON
- Full-time
Monitor and track Customer Performance and Customer Specific requirements on websites and provide status reports
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Remote, Canada
- $200,000 to $240,000 CAD / year
- Full-time
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Work with a Teleop Platform Engineer on the end-to-end latency budget and on what we record, at what rate, in what format.
Added 4 hours ago
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Software Engineer II
Microsoft
Vancouver, BC
- Full-time
As a Software Engineer II on our team, you will design, develop, test, and maintain components of highly scalable and reliable cloud infrastructure. You will solve technical challenges…
Added 4 hours ago
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Cloud & AI Solution Engineer - Azure Platform
Microsoft
Toronto, ON
- Full-time
…challenges in the AI era? Join us as a Cloud & AI Solution Engineer - Azure Platform for enterprise and commercial customers at…
Added 4 hours ago
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DCN Design for Manufacturing Engineer
SLB
Calgary, AB
- Full-time
SLB is seeking a highly motivated Design for Manufacturing (DFM) Engineer to join its Data Center business. This individual will serve as a key liaison between Product Design, Engineering,…
Added 4 hours ago
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Software Engineer, Machine Learning
Qualcomm
Markham, ON
- Full-time
…bleeding edge AI technology. In this position you will build high performance software for AI engines to extend our AI solutions into industry leading customer use cases. New…
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Toronto, ON
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DCN Design for Manufacturing Engineer
SLB
Calgary, AB
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SLB is seeking a highly motivated Design for Manufacturing (DFM) Engineer to join its Data Center business. This individual will serve as a key liaison between Product Design, Engineering,…
Added 4 hours ago
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Advanced Process Control Engineer
Dexcent
Fort McMurray, AB
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Dexcent Inc. has an opportunity for a Advanced Process Control Engineer to join our growing team in Fort McMurray, AB. The individual will be required to be on site and to relocate to…
Added 4 hours ago
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Senior Site Reliability Engineer
Punt
Canada
- Full-time
We’re seeking a Senior Site Reliability Engineer to join Production Engineering, the team that help advance our infrastructure, security, reliability, and platform maturity. This is a…
Added 4 hours ago
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Frontend Software Engineer (Intermediate)
Punt
Canada
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Cerebras

AI Inference Core - Software Integration Engineer

Toronto, ON, Canada

Full-time

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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.

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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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