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Added 2 months ago
ST
PYTHON DEVELOPER - GENAI / AI
SIDRAM TECHNOLOGIES
Mississauga, ON
- Full-time
Looking for a Python Developer with strong expertise in Generative AI, LLMs, RAG, Agentic AI, Data Engineering, and MLOps to build and deploy enterprise-grade AI solutions.
Added 2 months ago
ST
PYTHON DEVELOPER - GENAI / LLM
SIDRAM TECHNOLOGIES
Mississauga, ON
- Full-time
GenAI Integration with Enterprise Applications
Added 6 months ago
P
Staff AI Platform Engineer - Inference & Agentic Systems
Paytm
Toronto, ON
- Full-time
Proficiency in TypeScript or Python, and willingness to work in both: the agent platform is TypeScript on Bun with Temporal workflows on Kubernetes and EC2, the inference platform is Python.
Added 1 month ago
KI
Intern Developer, AI Solutions
Kinaxis Inc.
Ottawa, ON
- Internship
Technologies you will work with: Python, Docker, Kubernetes, Argo Workflows, Azure/GCP, GitHub Actions, Shell Script, Terraform, Linux/Unix CLI, SQL.
Added 1 month ago
Software Development Engineer in Test, Full Stack, Creativity Apps
Apple
Vancouver, BC
Fluent in Python, Swift, and/or JavaScript to prototype features, create, and test with internal tools.
Added 1 month ago
SE
Senior Manager, Cloud Development
Samsung Electronics
Mississauga, ON
- Full-time
Ensure compliance with industry standards (e.g., GDPR, HIPAA) and organizational policies
Added 1 month ago
B
Data Solution Architect
Bombardier
Dorval, QC
- Full-time
With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
Added 1 month ago
TR
Data Scientist III
Teck Resources Limited
Vancouver, BC · Greater Vancouver, BC
- $107,000 to $132,000 CAD / year
- Full-time
Strong programming skills in Python and proficiency with ML frameworks (Scikit-learn).
Added 1 month ago
Intermediate Machine Learning Engineer
Aviva
Markham, ON
Proficiency in Python, along with data processing and ML libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost).
Added 1 month ago
ES
AI practice lead - Financial services and Insurance
EPAM Systems
Canada
- Full-time
Work with clients and internal teams to shape the AI, machine learning, and agentic business and technology vision and go-to-market offerings
Added 1 month ago
V
Senior AI/ML Scientist
Vanguard
Toronto, ON
- Full-time
…and Responsible AI learning paradigms. You will work closely with our interdisciplinary team of scientist, engineers, and product managers to advance the state-of-the-art in AI technologies…
Added 1 month ago
FC
Sr Analyst, Advanced Analytics
Fidelity Canada
Toronto, ON
- Full-time
Hands-on experience with statistical modelling techniques using python
Added 1 month ago
C
Senior Software Engineer - AI / ML
CyberCoders
Canada
- Full-time
-Programming: Proficient in Python; comfortable with SQL and data engineering patterns.
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
KD
AI/ML Engineer
Katalyst Data Management
Calgary, AB
- Full-time
…services. Our industry-leading iGlass™ platform provides customers with reliable, secure, 24/7 access to critical subsurface information, supported by robust system redundancy and data…
Added 1 month ago
Senior AI/ML Engineer
Katalyst Data Management
Calgary, AB
…services. Our industry-leading iGlass™ platform provides customers with reliable, secure, 24/7 access to critical subsurface information, supported by robust system redundancy and data…
Added 1 month ago
C
Coop AI Developer
CGI
Calgary, AB
- Full-time
Winter 2027 Co-op: AI Software Developer (4 - 8 Months)
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
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
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
M
AI Engineer, Innovation
MNP
AB
- Full-time
Inspirational, innovative and entrepreneurial - this is how we describe our empowered teams. Combine your passion with purpose and join a culture that is thriving in the face of change.
Added 1 month ago
MM
Oliver Wyman - Senior Lead AI Developer
Marsh McLennan
Toronto, ON · Montreal, QC
- Full-time
No two OW Quotient projects are the same. You’ll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Senior Lead AI Developer, you…
Added 2 months ago
C
Gen AI Engineering and Scaled AI Transformation
Citi
Mississauga, ON
- Full-time
Ensures solutions are built with enterprise-grade reliability, explainability, and extensibility.
Added 2 months ago
B
Senior Business System Analyst
BMO
Toronto, ON · SCC
- Full-time
…technology capabilities. As a central organization, DnA collaborates with groups across the bank such as Finance, Risk, AML, FCU, HR, Marketing, Wealth, Capital Markets, Personal and…
Added 1 month ago
X
AI Specialist - Representation and Reinforcement Learning
Xanadu
Toronto, ON
- Full-time
At Xanadu, we primarily work with Python, Jupyter, Jax, GitHub, Docker, CI pipelines, and multiple cloud platforms. Proficiency in these technologies is essential.

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.

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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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