Find work in Canada.

334,032 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 9 mins ago
DevOps Staff Platform Engineer
Orion Digital
Remote, Canada
$135,000 to $170,000 CAD / year
Full-time · Remote
Which means the platform is where the strategy succeeds or stalls. If deploying takes a day, if an agent cannot safely touch production, if nobody can tell what changed and why, the…
Added 24 mins ago
Systems Verification & Validation Engineer
Pulse Medica
Edmonton, AB
Full-time
PulseMedica is searching for a Systems Verification & Validation (V&V) Engineer to join a collaborative team dedicated to transforming the future of ophthalmic care. Reporting to our…
Added 24 mins ago
Software Engineer II
TD
Toronto, ON
Full-time
Works independently in a Lead Developer role on a diverse range of tasks and may be relied upon to coach/ educate others.
Added 53 mins ago
Principal Software Engineer (IAM)
Black Duck
Calgary, AB
Full-time
Black Duck is seeking a Principal Software Engineer to serve as a technical leader for the company's identity, authentication, authorization, and access management platforms. This role will…
Added 53 mins ago
Data Science Lead
Alberta Innovates
AB · Edmonton, AB
Full-time
The Data Science Lead is an opportunity to be part of a professional, purpose-driven team that values collaboration, innovation, accountability, and continuous improvement. Most…
Added 1 hour ago
Senior DevOps Engineer
Tetra Digital Group
Toronto, ON
$200,000 to $300,000 CAD / year
Full-time
…manager needs proof of holdings before a board meeting, our platform is either up and provably correct or we have a very different kind of morning.…
Added 1 hour ago
Senior Data Engineer - Toronto
Trisura
Toronto, ON
Full-time
As a Senior Data Engineer on our Data & Analytics Team, you will be a hands-on technical leader responsible for designing, building, operating, and continuously improving scalable, secure,…
Added 1 hour ago
Senior Systems Engineer - Identity and Access Management
Electronic Arts (EA)
Vancouver, BC
Full-time
We are looking for an experienced Senior Systems Engineer with deep expertise in both Identity & Access Management (IAM) and Windows Systems Administration to join our Identity Security…
Added 1 hour ago
Municipal Engineering Project Manager
Dillon Consulting Limited
Winnipeg, MB · Saint John, NB · Fredericton, NB · Halifax, NS
Full-time
Lead the strategy and drive the execution of high-value engineering solutions that position our firm as the premier technical partner for complex projects.
Added 1 hour ago
Director, AI Delivery & Portfolio Management – Global Payments Technology
Royal Bank of Canada
Toronto, ON
Full-time
As Director, AI Delivery & Portfolio Management – Global Payments Technology, you will lead a strategic portfolio of AI initiatives across research, engineering, platform, and business…
Added 2 hours ago
Principal Data Engineer
Xplore Inc
Markham, ON
Full-time
This role is for an experienced technical leader to lead the technical roadmap and upskill the Xplore data engineering team. You will define the end-to-end data platform (ingestion,…
Added 2 hours ago
Staff Software Engineer
TD
Toronto, ON
Full-time
Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure
Added 2 hours ago
Data Engineer (Databricks) - Consultant
Deloitte
Toronto, ON
Full-time
Design comprehensive Lakehouse architectures using Databricks platform capabilities including Delta Lake, MLflow, and Unity Catalog
Added 2 hours ago
Technical Lead
Method Integration Inc.
Remote, Canada
$120,000 to $144,000 CAD / year
Full-time · Remote
1–3 years of technical leadership experience, such as Lead Developer, Principal Engineer or Tech Lead on significant, complex projects.
Added 3 hours ago
Software Engineering LMTS
Salesforce
Vancouver, BC
Full-time
The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally…
Added 3 hours ago
Data Science Developer
Transit
Montreal, QC
$90,000 to $125,000 CAD / year
Full-time
…hybrid working arrangement before; or (2) are a senior data engineer currently yearning for the (metaphorical) white lab coat that will let you conduct lots of “data science-y” experiments…
Added 3 hours ago
Python Fullstack Developer
Genpact
Montreal, QC
$70,000 to $80,000 CAD / year
Full-time
We are seeking a hands-on Full Stack Engineer with strong Python and frontend development experience to build technology platforms and business-facing applications. The individual will work…
Added 3 hours ago
Senior Software Engineer (Java)
Mastercard
Vancouver, BC
Full-time
Senior Software Engineer (Java)Job Description Summary
Added 3 hours ago
Principal Research Scientist
ServiceNow
Montreal, QC
Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 4 hours ago
Principal Software Engineer / Technical Lead – Contract
BriteBase
Waterloo, ON
Contract
BriteBase is seeking an experienced Principal Software Engineer / Technical Lead for a hybrid, outcome-based contract engagement.
Added 4 hours ago
Transportation Engineer
Dillon Consulting Limited
Ottawa, ON · Hamilton, ON · Guelph, ON · London, ON · Windsor, ON · Oakville, ON · Kitchener, ON · Chatham-Kent, ON · Chatham, ON
Full-time
We are seeking a Transportation Engineer to join our Transportation Infrastructure team in a full-time, position based at any of our Ontario offices. Reporting to the Discipline Lead, you…
Added 5 hours ago
CTO | VC-backed AI | Relocate to Barcelona | €120–150k + equity
Ink
Toronto, ON
Full-time
You’ll work with me and our product designer in our Poblenou office in Barcelona, and lead our existing small team of remote full-stack engineers.
Added 5 hours ago
Digital Architect (GOAPRDJP00000987) – 5 Resources
Amyantek
Canada
Contract
8 years experience as a data architect, software architect, or senior data engineer, where the proposed resource’s focus has been collaborative work on and/or with cross-functional teams to…
Added 5 hours ago
Technical Architect- AI
Mphasis
Toronto, ON
Full-time
We are seeking a highly experienced AI Architect to lead the design, architecture, and implementation of enterprise-scale Generative AI solutions on Google Cloud Platform (GCP). The ideal…
Added 5 hours ago
Senior Data Engineer - Toronto
Trisura Guarantee Insurance Company
Toronto, ON
As a Senior Data Engineer on our Data & Analytics Team, you will be a hands-on technical leader responsible for designing, building, operating, and continuously improving scalable, secure,…

Cerebras

Software Engineer, Inference Platform

Toronto, ON, Canada

Job type: Full-time
Apply by: Sep 30, 2026
Experience: 3+ years of experience in software engineering, with experience building and operating large-scale distributed systems or cloud infrastructure.
Posting language: English
Posted: Sep 23, 2026

Apply About employer

Applications open in a new tab.

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're hiring a Software Engineer to help contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our datacenter clusters, connecting cloud components with machine learning services. We are often the first team to face problems that haven't been solved yet, leading solutions across Kubernetes operators, service security policies, and CI/CD.

If you're interested in building the next-generation architecture of a globally distributed inference platform, we'd like to talk.

Responsibilities

Design, develop, test, and maintain production software, with responsibilities spanning testing, continuous development, observability, security, networking, debugging, and productionization.
Platform Direction. Help shape the technical direction for the Inference Platform, Kubernetes custom resource definitions, failure domains, service boundaries, and system evolution over time, and own the roadmap for major technical areas.
Reliability & Performance. Architect active-active systems with rapid failover, graceful degradation, and clear SLOs. Drive system-level improvements in latency, throughput, capacity efficiency, and resilience under unpredictable demand.
Execution on Critical Paths. Write and review production code in the most important parts of the platform. Make high-consequence architectural decisions within your area and set the technical bar through design reviews, code reviews, and sound engineering judgment.
Production Leadership. Lead on the hardest production issues and cross-system bottlenecks. Drive observability, incident response, capacity planning, and post-incident improvement with a high standard for operational rigor.
Technical Influence. Partner with ML, Product, Infrastructure, and Cloud teams to translate product and business requirements into scalable system designs, and drive alignment on shared technical decisions within your domain and adjacent platform surfaces.

Skills & Qualifications

3+ years of experience in software engineering, with experience building and operating large-scale distributed systems or cloud infrastructure.
Experience in distributed systems, ideally with Kubernetes.
Experience building highly available, latency-sensitive systems at scale.
Experience with security (certificates, TLS, mTLS).
Experience optimizing latency, throughput, and efficiency in high-QPS systems. Experience with TTFT and tail-latency reduction is a strong plus.
Strong proficiency in backend or systems languages such as Go or C++.

Preferred Skills & Qualifications

Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads.

Location: Open to Sunnyvale or Toronto.

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.

Apply About employer

More about this job

Responsibilities

Design, build, and operate the Inference Platform orchestration layer, including Kubernetes-based infrastructure, production software, and systems for reliability, performance, security, and observability. Lead technical direction and critical production work, make architectural decisions, and collaborate across ML, Product, Infrastructure, and Cloud teams.

Requirements

Requires at least 3 years of software engineering experience building or operating large-scale distributed systems or cloud infrastructure, ideally with Kubernetes. Candidates should have experience with highly available, latency-sensitive systems, security using certificates and TLS/mTLS, high-QPS performance optimization, and proficiency in Go or C++; ML inference or model-serving experience is preferred.

Skills

Distributed Systems
Kubernetes
Cloud Infrastructure
Highly Available Systems
Latency-Sensitive Systems
Security
TLS
mTLS
Latency Optimization
Throughput Optimization
Go
C++
ML Inference Infrastructure
Model Serving
Observability
Incident Response

Visa sponsorship

Not detected in the job text

Keywords

Inference Platform
Distributed Systems
Kubernetes
Kubernetes Operators
Cloud Infrastructure
Datacenter Clusters
Orchestration
Go
C++
TLS
mTLS
Certificates
Service Security Policies
CI/CD
Active-Active Systems
Failover
Graceful Degradation
Service-Level Objectives
Observability
Incident Response
Capacity Planning
Latency Optimization
Tail Latency
Time to First Token
Throughput
High-QPS Systems
ML Inference Infrastructure
Model Serving
GPU-Accelerated Workloads

Report this job