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Added 13 hours 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 14 hours 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 14 hours 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 16 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 17 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 17 hours ago
I
AI Product Engineer
Intersog
Remote, Canada
- Full-time
- Remote
We are looking for an AI Product Engineer to design, build, and deliver production-ready AI-powered products from end to end - from databases and backend systems to intuitive user…
Added 17 hours ago
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Backend Engineer (Intermediate)
Punt
Canada
- Full-time
We're seeking an Intermediate Backend Engineer to contribute to the design, development, and operation of our next-generation social gaming platform. You'll work on concurrent systems,…
Added 17 hours ago
P
Senior Backend Software Engineer
Punt
Canada
- Full-time
We’re seeking a Senior Backend Engineer to help design, build, and scale our next-generation social gaming platform. You’ll work on highly concurrent systems, architecting APIs and backend…
Added 17 hours ago
P
Associate Data Engineer
Punt
Vancouver, BC
- Full-time
We are seeking an Associate Data Engineer to design, build, and maintain the core data pipelines and analytics models that power our platform. Working alongside senior engineers, you will…
Added 18 hours ago
S
Senior Windows Server Automation Engineer
Swoon
Toronto, ON
- Contract
Our client - one of Canada’s Big 5 banks - is hiring a Senior Windows Server Automation Engineer for their Windows Engineering team. This is a hands-on, automation-first role: you’ll spend…
Added 18 hours ago
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Associate Cloud Engineer
''
Florenceville-Bristol, NB
- Full-time
McCain is seeking an Associate Cloud Engineer to join our Infrastructure, Engineering & Operations team. In this early-career role, you will help deploy, operate, secure, and monitor cloud…
Added 18 hours ago
Agentic Evaluation & Testing Specialist, Kitchener, ON
Siemens
Kitchener, ON
About Siemens Digital Industries Operations Software: It is a suite of integrated digital solutions to engineer, simulate and operate manufacturing operations across industries. Operations…
Added 19 hours ago
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Sr AI Engineer
Nutrien
Saskatoon, SK
- Full-time
Design, build, and deploy machine learning, generative AI, and agentic solutions - RAG, knowledge assistants, enterprise copilots, predictive analytics, and workflow automation agents
Added 19 hours ago
N
Sr AI Engineer
Nutrien
Calgary, AB
- Full-time
Design, build, and deploy machine learning, generative AI, and agentic solutions - RAG, knowledge assistants, enterprise copilots, predictive analytics, and workflow automation agents
Added 19 hours ago
M
RQ11673 - Report Developer - Junior
Maarut
Toronto, ON
- Contract
We are seeking a Data Engineer / Software Developer to
Added 19 hours ago
MI
AI Orchestrator Student
Mawer Investment Management
Calgary, AB
- Full-time
Experience with LLMs, prompts, agents, workflow automation, APIs or data tools; familiarity with Python or SQL is helpful
Added 19 hours ago
T
Senior Full Stack Engineer, People Products
Thumbtack
Remote, Canada
- Full-time
- Remote
Strong full-stack skills: React and TypeScript on the frontend, and solid backend engineering. We use Go, PHP, and Python, and we expect strong engineers to pick up a new language.
Added 19 hours ago
TS
Associate – Front Office Quant Engineer
TD Securities
Toronto, ON
- Full-time
The Front Office Quant Engineer will serve as a force multiplier for the trading and sales desks, leveraging technology, automation, quantitative analysis, and AI-driven solutions to enable…
Added 19 hours ago
MF
Associate Cloud Engineer
McCain Foods
Florenceville-Bristol, NB
- Full-time
McCain is seeking an Associate Cloud Engineer to join our Infrastructure, Engineering & Operations team. In this early-career role, you will help deploy, operate, secure, and monitor cloud…
Added 19 hours ago
D
BI Developer & Data Analyst Contractor
Dexian
Montreal, QC
- $40 to $45 CAD / hour
- Contract
Job Description: We are seeking for 2 experienced BI Developer & Data Engineer Contractor to design and implement scalable analytics solutions supporting manufacturing, engineering, and…
Added 19 hours ago
MC
Data Analyst – Power BI Microsoft Fabric (36191)
Myticas Consulting
Ottawa, ON
- Full-time
Use Python/Pandas for data preparation, automation and analysis.
Added 20 hours ago
SE
Site Reliability Engineer (SRE)
Samsung Electronics
Vancouver, BC
- Full-time
Scripting skills (Python/Bash) for automation
Added 20 hours ago
P
Principal Application Engineer (Salesforce)
PointClickCare
Mississauga, ON
- Full-time
PointClickCare is searching for a Principal Application Engineer who will lead application development by writing and rigorously defending production-grade application code and…
Added 20 hours ago
C
Senior Data Engineer
CIBC
Toronto, ON
- Full-time
As a Senior Data Engineer, you'll provide technical leadership for the design and delivery of data products on CIBC's modern data platforms. You'll work closely with business partners and…
Added 20 hours ago
Agentic AI Security Specialist, Kitchener, ON
Siemens
Kitchener, ON
…platform generates. You work closely with the data and memory engineer, whose pipelines carry the signals you analyze, with the runtime lead, whose execution model you constrain, with the…

Cerebras

AI Inference Core - Software Integration Engineer

Toronto, ON, Canada

Full-time

Apply 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.

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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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