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Added 7 mins ago
RV
Component Engineering Specialist
Ross Video
Ottawa, ON · Nepean, ON
- Full-time
We are seeking an Intermediate Component Engineer to join the Component Engineering and Change Management team. This role is ideal for someone who understands the electronics industry,…
Added 37 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 1 hour ago
GD
Computer Modeling & Simulation Staff Specialist/Engineer
General Dynamics Land Systems–Canada
London, ON
- Full-time
Computer Modeling & Simulation Staff Specialist/Engineer P55
Added 1 hour ago
C
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 1 hour ago
J
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 1 hour ago
D
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 1 hour ago
CL
Member of Technical Staff (Migrations)
Cockroach Labs
Toronto, ON · North York, ON
- Full-time
…launched the Migration Assistant, which brings the individual MOLT tools together into a single migration workflow which guides customers through moving their databases to CockroachDB and…
Added 2 hours ago
AH
AI Product Engineer
Angel Host
Montreal, QC
- Full-time
As our AI Product Engineer, you will build, validate and ship products across both Sentinel and Angel Host, using AI-assisted development as your primary way of working. You will report to…
Added 2 hours ago
AH
AI Product Engineer IT - Montréal, Quebec (Hybrid)
Angel Host
Montreal, QC
- Full-time
As our AI Product Engineer, you will build, validate and ship products across both Sentinel and Angel Host, using AI-assisted development as your primary way of working. You will report to…
Added 2 hours ago
TC
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 3 hours ago
R
Founding Product & Solutions Lead
Rainharbor
Toronto, ON
- Full-time
…specification and against real client needs, using our evaluation tools, and recommend acceptance or rejection. A founder…
Added 3 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 3 hours ago
M
Robotics Software Engineer, Teleoperation
Mecka
Remote, Canada
- $200,000 to $240,000 CAD / year
- Full-time
- Remote
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 3 hours ago
M
Teleop Platform Engineer, Real-Time Systems & UI
Mecka
Remote, Canada
- $200,000 to $240,000 CAD / year
- Full-time
- Remote
We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not…
Added 4 hours ago
W
Senior Mechanical Engineer
Worley
Calgary, AB · Edmonton, AB
- Full-time
The Senior Mechanical Engineer – HVAC will be based in either Calgary, AB or Edmonton, AB and will play a pivotal role in supporting engineering activities related to HVAC systems across a…
Added 4 hours ago
W
Senior Structural Engineer
Worley
Calgary, AB · Edmonton, AB
- Full-time
As a Senior Structural Engineer, you will provide advanced technical expertise and engineering leadership for structural engineering activities across medium to large, complex projects. You…
Added 4 hours ago
W
Senior Mechanical Engineer
Worley
Markham, ON
- Full-time
We are currently recruiting for a Senior Metallurgical Engineer. Our team includes world class experts and dynamic go-getters. This is a full-time position based in Markham, Ontario.
Added 4 hours ago
M
Solution Engineer - Cloud & AI Applications
Microsoft
Toronto, ON
- Full-time
As a Solution Engineer – Cloud & AI Applications, you’ll play a pivotal role in helping customers unlock the full potential of AI. You’ll guide them in understanding the art of the…
Added 4 hours ago
M
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
H
Principal Software Engineer - Collateral Treasury Trading Platforms
HSBC
Toronto, ON
- Full-time
…of HSBC Group. We have different capabilities that provide tools and processes to facilitate the functions, business, and entities with their service management…
Added 4 hours ago
S
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
Q
Software Engineer, Machine Learning
Qualcomm
Markham, ON
- Full-time
Development of model analyzing tools for the internal and external customers
Added 4 hours ago
S
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 5 hours ago
P
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 5 hours ago
P
Frontend Software Engineer (Intermediate)
Punt
Canada
- Full-time
We are seeking an Intermediate Frontend Engineer to help build and scale the frontend for our online social gaming platform. This is a hands-on engineering role for someone with solid…

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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