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Added 5 months ago
E
Digital - ASIC Design Automation Engineer
Eliyan
Toronto, Ontario
- Full-time
…industry's most efficient chiplet-to-chiplet PHY technology. With Series C funding from leading hyperscalers and AI infrastructure providers, we are scaling our digital design organization…
Added 1 month ago
C
NPI Optical Test Engineer
Ciena
Ottawa, ON
- $77,500 to $144,500 CAD / year
- Full-time
Ciena's New Product Introduction team is seeking a highly motivated test development engineer to join their dynamic team. This role involves playing a key part in delivering cutting-edge…
Added 1 month ago
A
Senior Full Stack Engineer (Application + Data)
Article
Vancouver, BC
- $165,000 to $175,000 CAD / year
- Full-time
…meaningful problems. This is where you come in. As a Senior Software Engineer, Full Stack, you'll design, build, deploy, and operate software solutions across our entire technology stack to…
Added 1 month ago
KD
AI/ML Engineer
Katalyst Data Management
Calgary, AB
- Full-time
Join the dynamic and collaborative team at Katalyst Data Management (KDM)! KDM is seeking an AI/ML Engineer to support the operation, optimization, and reliability of the infrastructure…
Added 1 month ago
Senior AI/ML Engineer
Katalyst Data Management
Calgary, AB
Join the dynamic and collaborative team at Katalyst Data Management (KDM)! KDM is seeking a Senior AI/ML Engineer to help design, build, and operate the infrastructure that powers our next…
Added 1 month ago
FS
Software Engineer
Fleet Space Technologies
Toronto, ON
- Full-time
Tech stack: Python, Go, TypeScript/JavaScript, SQL, AWS, Docker, GitLab and CI/CD, with 2D and 3D visualisation libraries such as Three.js, WebGL, deck.gl or Plotly.
Added 1 month ago
L(
AI Benchmark Engineer | Native Language Specialist - French (Canada) - Remote
LILT (Production)
Remote, Canada
- Contract
- Remote
Language: Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency.
Added 1 month ago
CS
Distributed Software Engineer
Cerebras Systems
Remote, Canada
- Full-time
- Remote
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…
Added 1 month ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
Join the Microsoft Turing team and help shape the future of enterprise productivity with AI. Do you want to be part of a team that delivers innovative products and AI-powered solutions…
Added 1 month ago
M
Senior Security Engineer, Device/Hardware
Motive
Canada
- Full-time
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance…
Added 1 month ago
M
Senior Security Engineer, Device/Hardware
Motive
Canada
- Full-time
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance…
Added 1 month ago
ZT
Software Engineer, Professional Senior (Android + NFC/RFID +AI )
Zebra Technologies
Mississauga, ON
- Full-time
The Engineering Customer Response Team (ECRT) is seeking a Senior Software Engineer to provide world-class technical support to global enterprise customers for the Android Operating System,…
Added 1 month ago
P
Senior Full Stack Engineer
Procurify
Remote, Canada
- $122,000 to $152,000 CAD / year
- Full-time
- Remote
You’re a person with a knack for solving some of the most pressing technology challenges in SaaS application development while levelling up the team of engineers around you, and you’re…
Added 1 month ago
I
Technology Lead-Pivotal Cloud Foundry (PCF)
Infosys
Calgary, AB
- Full-time
Looking for Pivotal Cloud Foundry (PCF) Engineer and Administrator with expertise in Linux system administration, RabbitMQ (RMQ) services, infrastructure management, and automation.
Added 1 month ago
AG
Senior AI Developer / Développeur(se) IA senior
Aduna Global
Montreal, QC
- Full-time
…and trust model, the guardrails and the observability that go with…
Added 1 month ago
EG
Water Resources Engineer
Egis Group
Hamilton, ON · Toronto, Ontario
- $85,000 to $115,000 CAD / year
- Full-time
Experience with automation, including but not limited to Dynamo and Python, is considered an asset.
Added 1 month ago
EG
Water Resources Engineer
Egis Group
Toronto, ON
- $85,000 to $115,000 CAD / year
- Full-time
Experience with automation, including but not limited to Dynamo and Python, is considered an asset.
Added 1 month ago
EG
Senior Water Resources Engineer
Egis Group
Edmonton, AB
- $105,000 to $130,000 CAD / year
- Full-time
The Senior Water Resources Engineer position is based in Edmonton, Alberta, Canada and is responsible for the planning, analysis, and delivery of water resources engineering and hydraulic…
Added 1 month ago
EG
Senior Water Resources Engineer
Egis Group
Calgary, AB · Edmonton, Alberta
- $105,000 to $130,000 CAD / year
- Full-time
The Senior Water Resources Engineer position is based in Calgary, Alberta, Canada and is responsible for the planning, analysis, and delivery of water resources engineering and hydraulic…
Added 1 month ago
EG
Water Resources Engineer
Egis Group
Ottawa, ON · Toronto, Ontario
- $85,000 to $115,000 CAD / year
- Full-time
Experience with automation, including but not limited to Dynamo and Python, is considered an asset.
Added 1 month ago
EG
Senior Water Resources Engineer
Egis Group
Vancouver, BC · Edmonton, Alberta
- $105,000 to $130,000 CAD / year
- Full-time
The Senior Water Resources Engineer position is based in Vancouver, BC, Canada and is responsible for the planning, analysis, and delivery of water resources engineering and hydraulic…
Added 1 month ago
M
AI Engineer, Innovation
MNP
AB
- Full-time
Make an impact with our Technology - Development team as an AI Engineer, Innovation. This diverse team of tech-savvy builders and problem solvers embraces digital transformation, and the…
Added 6 months ago
BT
Software Engineer I
Beanfield Technologies Inc.
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
We are seeking a motivated Software Engineer to join our technology team. This role focuses on designing, developing, and enhancing backend systems, APIs, and data processing tools using…
Added 1 month ago
C
Generative AI Engineer -Vice President
Citi
Mississauga, ON
- Full-time
We're searching for a highly skilled and experienced senior engineer and Python expert to lead the design and development of the various AI-related technologies as part of the Services Tech…
Added 1 month ago
Senior Software Engineer
BuildOps
Toronto, ON
We’re looking for a Senior Software Engineer to help build and scale the product experiences and systems behind that mission. In this role, you’ll work across frontend applications, backend…

Cerebras Systems

Distributed Software Engineer

Remote, Canada

Remote

Full-time

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Job details

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Sep 8, 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.

The Role

The Cluster engineering team owns the software that turns thousands of wafers, servers, and switches into a cloud that stays up, stays busy, and stays debuggable. We stand clusters up from bare metal, schedule training and inference workloads across the fleet, keep it healthy, and make it observable to users, operators, and increasingly to AI agents. The stack is Go and Python on Kubernetes, running both on-premise deployments and our own cloud.

Responsibilities

· Declarative, CRD-driven automation of bare-metal networking, OS, and application software across clusters of Cerebras systems, servers, and switches, built to reconcile thousands of nodes

· Push-button cluster install, upgrade, and security patching with real downtime budgets, gated by canaries

· Kubernetes operators that schedule large inference workload: resource locks, priority queues, network topology, and health-aware placement

· gRPC control-plane services, authorization, admission webhooks, and quota policy for a multi-tenant fleet

· Metrics and log pipelines with purpose-built exporters for wafer-scale systems, servers (Redfish, IPMI), and network fabric (gNMI, sFlow), on Prometheus and Grafana, with SLOs and alerting

· Failure detection, HA control planes, and automated recovery, plus the CLIs, APIs, and MCP gateway that expose the fleet to users, operators, and AI agents

Skills and Qualifications

· 5+ years building and operating production distributed systems or infrastructure software

· Production-quality Go and Python

· Real Kubernetes depth: you have written or debugged controllers and operators, and you understand CRDs, reconciliation semantics, informer caches, admission webhooks, and RBAC

· Strong debugging skills across distributed systems, Linux, and networking

· Prometheus and Grafana as a practitioner: PromQL, exporter design, cardinality discipline, useful alerts

· Strong self-driving capability. This environment is large, fast-moving, and not fully documented, so we need engineers who build their own context, decide, and drive work across team boundaries. Learning speed matters more here than familiarity with our stack.

· Demonstrated adoption of AI in your engineering workflow: active use of coding agents, a view on where they help and where they mislead, and the rigor to verify what they produce.

· Nice to have: bare-metal or HPC fleet operations, scheduler internals, RDMA/RoCE and eBPF networking, Ceph or NVMe-oF, etcd and HA upgrades, inference serving stacks. ML research experience is not required.

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.

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More about this job

Responsibilities

You will be responsible for building and maintaining the software infrastructure that manages large-scale clusters of servers and switches. This includes developing Kubernetes operators, automating bare-metal networking, and ensuring the health and observability of the fleet.

Requirements

Candidates must have at least 5 years of experience in building production-grade distributed systems or infrastructure software. Proficiency in Go and Python, along with deep expertise in Kubernetes and distributed system debugging, is essential.

Skills

Go
Python
Kubernetes
Distributed systems
Infrastructure software
CRDs
Prometheus
Grafana
gRPC
Linux
Networking
Bare-metal automation
Failure detection
API development
Cloud infrastructure

Visa sponsorship

Not detected in the job text

Keywords

Distributed Systems
Go
Python
Kubernetes
CRD
Bare-metal
Networking
gRPC
Prometheus
Grafana
Cloud
Automation
HPC
RDMA
RoCE
eBPF
Ceph
NVMe-oF
etcd
Inference
AI
Infrastructure
Linux
Redfish
IPMI
sFlow
gNMI
Admission Webhooks
RBAC
Observability

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