Jobs in Canada

25+ jobs

Group jobs by employerEmail me new jobs Save this search

Added 1 month ago
Senior DevOps/Cloud Engineer
Randstad Canada
ON
We are seeking an experienced Senior DevOps/Cloud Engineer to design, build, manage, and optimize mission-critical AWS cloud production environments. In this role, you will be responsible…
Added 1 month ago
Senior Java Software Developer
Randstad Canada
Toronto, ON
If you're a Java engineer who enjoys solving complex problems, working with real-time data and building technology at scale, this could be a great opportunity to get involved in a…
Added 1 month ago
RC
Platform RUN Engineer
Randstad Canada
Baltimore, NB
- $110,000 to $145,000 CAD / year
We are seeking an experienced DevOps/Cloud Engineer to manage production workloads, build CI/CD pipelines, and automate infrastructure provisioning in a 24/7 cloud environment. This role…
Added 1 month ago
RC
Senior DevOps Engineer | Terraform | Docker | Azure | Hybrid
Randstad Canada
Toronto, ON
- $120,000 to $130,000 CAD / year
The person who does well here is a hands-on cloud engineer with genuine Azure networking depth, not just pipeline experience. A lot of DevOps engineers can wire up GitHub Actions and run…
Added 1 month ago
Senior Fullstack Developer - General application
Stay22
Montréal, QC
Collaborer avec les équipes Platform et Data pour s'assurer que vos solutions respectent les standards de l'organisation en matière de sécurité, d'observabilité et de gouvernance des…
Added 1 month ago
Observability Specialist
Wave
Canada
You will own and evolve Wave’s observability platform across our Python backend, GraphQL API, Postgres and CockroachDB databases, Kubernetes workloads, cloud infrastructure, and on-premises…
Added 1 month ago
RC
Software Developers – Telemetry and Observability Platform
Randstad Canada
Kanata, ON
- $55.42 to $103.91 CAD / hour
Operating on a Hybrid schedule (4 days per week in office), we are actively recruiting for:
Added 1 month ago
CI
Senior Site Reliability Engineer
Coalition, Inc.
Canada
- $135,900 to $201,000 CAD / year
We are looking for a Senior Site Reliability Engineer to join our Platform SRE team. In this role, you will build and operate the infrastructure, tools, and "paved roads" that empower our…
Added 1 month ago
Staff Software Developer
Auvik Networks
Canada
Auvik delivers cloud-based network management software that gives IT teams instant visibility and control over their infrastructure - whether on-site, remote, or dispersed across global…
Added 1 month ago
Software Developer II
Auvik Networks
Canada
Auvik delivers cloud-based network management software that gives IT teams instant visibility and control over their infrastructure - whether on-site, remote, or dispersed across global…
Added 1 month ago
Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS)
MongoDB
Montréal, QC · Toronto, ON
Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
Added 1 month ago
Senior Software Engineer, Deployments
MongoDB
Toronto, ON
Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization.…
Added 1 month ago
Forward Deployed Engineer, Industry Solutions
MongoDB
Toronto, ON
…innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data…
Added 1 month ago
Staff Software Engineer, Metadata
Fivetran
Toronto, ON
We're looking for a staff software engineer to be a technical leader on our Metadata team, which owns the metadata layer of the dbt platform - the discovery API, catalog, lineage, and run…
Added 1 month ago
Senior Software Engineer - Orchestration
Fivetran
ON
We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform - the scheduler, execution harness, and results…
Added 1 month ago
Staff Devops Engineer
hireVouch
Ottawa, ON
We’re seeking a hands-on Staff DevOps Engineer to own architecture, automation, and scaleout of our Google Cloud Platform infrastructure. You’ll work closely with software engineers to…
Added 1 month ago
Applicant Support Engineer
hireVouch
Toronto, ON
Experience with Kubernetes, Jenkins, distributed tracing, and cloud-based applications is required.
Added 1 month ago
Staff / Lead Data Engineer
hireVouch
Toronto, ON
Staff Engineer candidates may bring a stronger centre of gravity in backend and API systems or in data processing and platform engineering. For the Lead Engineer search, the client is…
Added 1 month ago
RC
Platform Engineer
Randstad Canada
Vancouver, BC
- $55.96 to $74.61 CAD / hour
Assignment Type: Hybrid (4 days per week onsite)
Added 1 month ago
Machine Learning Engineer (Canada)
Tiger Analytics Inc.
Toronto, ON
Knowledge on any of the cloud-native MLaaS offerings like AWS SageMaker, AzureML, or Google AI platform
Added 1 month ago
Team Lead, DevOps
AGFA
Waterloo, ON
…guide and mentor the team but also actively contribute as an engineer. You will help shape our cloud-native transformation, drive the adoption of GitOps…
Added 1 month ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Montréal, QC
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…
Added 1 month ago
PG
Lead Full Stack Developer
Publicis Groupe Holdings B.V
Toronto, ON
- $130,000 to $150,000 CAD / year
…builder and you hold the architectural picture of a multi-tier platform - React frontend, Spring Boot backend, FastAPI agentic services, agent SDKs on top of LLM providers. You are equally…
Added 1 month ago
Staff Database Engineer
ServiceNow
Toronto, ON
The candidate must have a passion for chasing issues of complex systems running under dynamic, real-world loads
Added 1 month ago
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Groupe Holdings B.V
Toronto, ON
Hands-on experience with at least one leading public cloud data platform: Amazon Web Services, Microsoft Azure, or Google Cloud Platform;

Cerebras Systems

AI Inference Core - Software Integration Engineer

Toronto, ON, Canada

Apply on jobs.ashbyhq.com About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Feb 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

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.

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

The Software Integration Engineer at Cerebras Systems will take inference ideas and prototypes to validated working features across the stack. They debug difficult failures across software and hardware boundaries and keep technical risks and dependencies visible.

Requirements

Cerebras Systems needs candidates with strong software fundamentals in Python, C++, Go or similar, and experience with hardware accelerators, compilers, kernels or low-level systems. Experience debugging distributed systems, AI infrastructure, profiling and clear cross-team communication are also needed.

Skills

Python
C++
Go
hardware/software co-design
hardware accelerators
compilers
kernels
runtimes
low-level systems
distributed systems debugging
AI infrastructure
model deployment
LLMs
multimodal workloads
performance debugging
profiling
observability
failure analysis
microservices
containers
cluster orchestration
cloud infrastructure
high-performance computing
cross-team collaboration
problem decomposition

Keywords

Software Integration Engineer
AI inference
inference stack
AI infrastructure
distributed systems
compilers
runtime
kernels
hardware/software co-design
hardware accelerators
LLM
model deployment
Python
C++
Go
profiling
containers
cluster orchestration
Kubernetes
high-performance computing

Department

software_development

Languages

English

Report this job

Work requirements

Jobs in Canada