Jobs in Canada

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Added 4 mins ago
Forward Deployed AI Engineer
General Magic
Toronto, ON
Full-time
We're hiring a Forward Deployed Engineer to be our person on the ground inside these brokerages. You'll learn their workflows firsthand, turn them into agents that run in production, and…
Added 4 mins ago
Graduate Power Systems (Available 2027)
Arup
Toronto, ON
Full-time
Bachelor's degree in an Electrical or Computer Engineer with focus on Power System and basic knowledge of power systems, renewable energy technologies, and energy storage systems.
Added 4 mins ago
Graduate Ground Engineer (Available 2027)
Arup
Toronto, ON
Full-time
Added 4 mins ago
Graduate Civil Engineer (Available 2027)
Arup
Toronto, ON
Full-time
Added 4 mins ago
Graduate Civil Engineer (Available 2027)
Arup
Calgary, AB
Full-time
Added 4 mins ago
Graduate Mechanical Engineer (Available 2027)
Arup
Calgary, AB
Full-time
Added 4 mins ago
Graduate Electrical Engineer (Available 2027)
Arup
Calgary, AB
Full-time
Added 4 mins ago
Network Security Engineer (Palo Alto)
BURGEON IT SERVICES
Calgary, AB
Contract
Added 4 mins ago
Graduate Civil Engineer (Available 2027)
Arup
Ottawa, ON
Full-time
Added 4 mins ago
Graduate Electrical Engineer (Available 2027)
Arup
Toronto, ON
Full-time
Added 4 mins ago
Graduate Mechanical Engineer (Available 2027)
Arup
Toronto, ON
Full-time
Added 4 mins ago
RPA UiPath Platform Engineer - AI Agentic
BULL-IT SOLUTIONS LTD
Toronto, ON
Full-time
The Senior Platform Engineer develops, maintains, and manages Automation platform on premise, AWS cloud and vendor SaaS to enable automation across the bank and core operations enabling the…
Added 6 mins ago
Software Engineer III
TD
Toronto, ON
Full-time
Added 6 mins ago
Student, Engineering, Calgary (January 2027)
Cenovus Energy
Calgary, AB
Added 6 mins ago
Engineer, Event Analysis
AESO
Calgary, AB · AOC
Full-time
Reporting to the Manager, Operations Planning, the Engineer, Event Analysis analyzes events affecting system reliability and helps ensure that real-time observations are shared and…
Added 6 mins ago
Engineer Specialist, RAS
AESO
Calgary, AB · AOC
Full-time
Reporting to the Manager, Operations Planning, the Engineer Specialist, Remedial Action Scheme (RAS) provides organization-wide technical leadership, governance, and oversight for the…
Added 6 mins ago
Engineer, RAS
AESO
Calgary, AB · AOC
Full-time
Reporting to the Manager, Operations Planning, the Engineer, Remedial Action Scheme (RAS) supports the design, modification, commissioning, operational integration, and ongoing…
Added 6 mins ago
Development Engineer
Strathcona Resources Ltd.
Calgary, AB
Full-time
We are seeking a Development Engineer to join our Lloydminster Conventional team in Calgary. Reporting to the Manager, Development Engineering, this position will be responsible for…
Added 6 mins ago
Engineering Specialist
Ingredion Incorporated
Cardinal, ON
Full-time
As a Sr. Project Engineer, you will be responsible for the management and execution of capital and technical improvement projects at the Cedar Rapids facility. This role leads projects…
Added 35 mins ago
Staff Software Engineer
Okta
Toronto, ON
$160,000 to $220,000 CAD / year
Full-time
We’re hiring a Staff Full-Stack Engineer to join the Integration Builder team within Okta Workflows. This team owns the core no-code surface that enables both internal teams and third-party…
Added 36 mins ago
Lead DevOps Engineer
RBC
Toronto, ON
Full-time
…streamlining the software delivery lifecycle? As a Lead DevOps Engineer, you will play a critical role in bridging the gap between development and operations, ensuring that our applications…
Added 36 mins ago
Staff Software Engineer
Okta
Toronto, ON
We’re hiring a Staff Full-Stack Engineer to join the Integration Builder team within Okta Workflows. This team owns the core no-code surface that enables both internal teams and third-party…
Added 51 mins ago
Site Reliability Engineer / Release Management & Automation Specialist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
Full-time
We are looking for a highly motivated, experienced and self-driven technical resource to serve as a Site Reliability Engineer / Release Management & Automation Specialist. This role…
Added 51 mins ago
Principal Engineer
Appnovation Technologies
Toronto, ON
We are seeking a Principal Engineer to own the end-to-end technical coherence of an enterprise marketing technology ecosystem for our life sciences clients. In most large organizations,…
Added 1 hour ago
Platform Engineer
TekStaff IT Solutions
Toronto, ON · Greater Toronto Area, Canada
Contract
TekStaff's Client has a current vacancy for a Platform Engineer

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

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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.

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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

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