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Added 10 mins ago
T
Software Engineer III
TD
Toronto, ON
- Full-time
As a lead software engineer, you are accountable for shaping and delivering end-to-end solutions for enterprise-grade platforms and complex initiatives. You set technical direction, define…
Added 10 mins ago
T
Software Engineer II
TD
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- Full-time
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Added 25 mins ago
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Added 25 mins ago
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Added 25 mins ago
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TekRek - Senior Data Consultant
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- $120,000 to $150,000 CAD / year
- Full-time
…executives through what the data shows. The right person is a strong engineer first, comfortable in front of a CFO or CTO, and keen to grow into a senior consultant role. The role is based…
Added 25 mins ago
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Mechanical Engineer
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Added 55 mins ago
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Added 1 hour ago
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HR
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Added 1 hour ago
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Added 1 hour ago
C
Infrastructure Engineer
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Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Role Description The Infrastructure Engineer role at CarbonForge is a full-time, on-site position based in the Greater Montreal Metropolitan Area. In this role, the engineer will design,…
Added 1 hour ago
A
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Added 2 hours ago
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The Staff Engineer plays a key role within the Infrastructure Solutions team, defining infrastructure strategies and roadmaps with a strong emphasis on network engineering initiatives. This…
Added 2 hours ago
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Added 2 hours ago
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Toronto, ON
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Added 2 hours ago
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Customer Success Operations Analyst
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Markham, ON
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CarbonForge

Infrastructure Engineer

Greater Montreal Metropolitan Area, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 26, 2026
Posting language: English
Posted: Oct 27, 2026

Original job description

Company Description CarbonForge is a Mila-backed startup focused on making efficient AI the default for teams serving open-weight models. The company delivers optimized inference containers that bundle the model, tuned for specific workloads, and an additional optimization layer to unlock more performance from GPUs. CarbonForge integrates into existing compile and deploy paths, searching for Pareto-optimal operating points that lower energy use per token while maintaining model quality. The platform outputs reproducible before/after benchmarks and deployment configurations that meet SLA targets with reduced power consumption through careful choices in compiler, kernels, precision, batching, scheduling, and hardware settings. CarbonForge aims to enable the next generation of AI inference to scale sustainably and company own their intelligence.

Role Description The Infrastructure Engineer role at CarbonForge is a full-time, on-site position based in the Greater Montreal Metropolitan Area. In this role, the engineer will design, implement, and maintain infrastructure to support high-performance AI inference workloads, including servers, networks, and related cloud resources. Day-to-day activities include monitoring system health, optimizing infrastructure for reliability and performance, and collaborating with engineering teams to integrate and scale CarbonForge’s optimized inference containers. The Infrastructure Engineer will also diagnose and resolve infrastructure issues, improve deployment pipelines, and help ensure secure, resilient systems. This position involves working closely with colleagues to continuously refine infrastructure architecture and support the company’s mission of efficient AI at scale.

Qualifications

Strong infrastructure skills, including experience with server management, virtualization or containerization, and scalable system design.
System administration skills covering operating systems (Linux preferred), configuration management, and performance monitoring.
Networking skills, including familiarity with routing, switching, load balancing, and network protocols.
Network security skills, including implementing security controls, monitoring for threats, and maintaining secure configurations.
Troubleshooting skills for diagnosing and resolving complex infrastructure, networking, and performance issues.
Experience with cloud platforms (such as AWS, GCP, or Azure) or hybrid cloud/on-prem environments is beneficial.
Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible) and CI/CD pipelines is an asset.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Ability to work collaboratively in a fast-paced startup environment, with clear communication and documentation practices.

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More about this job

Responsibilities

Design, implement, and maintain infrastructure for high-performance AI inference workloads, including servers, networks, and cloud resources. Monitor and optimize system reliability and performance, resolve infrastructure issues, improve deployment pipelines, and collaborate with engineering teams to scale optimized inference containers.

Requirements

Candidates should have infrastructure and system administration experience, including server management, Linux or other operating systems, virtualization or containerization, scalable system design, networking, and network security. A bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience, is required; cloud platforms, infrastructure-as-code tools, and CI/CD experience are beneficial.

Skills

Infrastructure Design
Server Management
Virtualization
Containerization
System Administration
Linux
Configuration Management
Performance Monitoring
Networking
Routing
Switching
Load Balancing
Network Security
Troubleshooting
Cloud Platforms
Infrastructure As Code

Visa sponsorship

Not detected in the job text

Keywords

AI Inference
Inference Containers
Servers
Networking
Cloud Resources
Linux
Virtualization
Containerization
Scalable Systems
Configuration Management
Performance Monitoring
Routing
Switching
Load Balancing
Network Protocols
Network Security
AWS
GCP
Azure
Hybrid Cloud
On-Premises Infrastructure
Terraform
Ansible
CI/CD Pipelines
Deployment Pipelines
Infrastructure As Code
System Reliability
Performance Optimization
AI Workloads
Troubleshooting

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