CE

AI Datacenter Infra engineer

Toronto, Ontario
On-site
Full-time
No salary posted1 weeks ago
Employment type
Full-time · On-site
Posted
September 23, 2026
Province
Ontario (ON)

Hiring confidence: Sparse posting · 11/100

This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored

Job Overview

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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 enterprise…

This role is based in Ontario. Cerebras Systems is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Ontario

Average salary for AI Datacenter Infra engineer in Ontario

We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.

NOC code

This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.

Typical qualifications for Canadian employers

  • Experience with datacenter infrastructure
  • Understanding of AI/ML systems
  • Systems engineering background
  • Knowledge of hardware-software integration

Fit check

Is this role right for you?

Top skills this posting asks for:

  • Infrastructure Engineering
  • AI/Machine Learning
  • Datacenter Operations

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What you'll do

  • Design and manage AI datacenter infrastructure
  • Support deployment of large-scale AI chips
  • Optimize datacenter performance for AI workloads
  • Ensure infrastructure reliability and scalability
  • Collaborate with model labs and enterprise customers

What you'll need

  • Experience with datacenter infrastructure
  • Understanding of AI/ML systems
  • Systems engineering background
  • Knowledge of hardware-software integration

About the Company

CE

Cerebras Systems