waterloo, on cloud engineer Jobs – 121 Openings This Week

AI Software Lead
Ironbelly Studios —Waterloo, ON
- Hybrid work
- Computer Science
- Engineering
- Master's degree
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Director, Professional Services
Conexiom —Kitchener, ON
- Full-time
- Oracle
- ERP systems
- Bachelor's
- Dental care
- Paid time off
AI Vision Fullstack Developer
Ironbelly Studios —Waterloo, ON
- DevOps
- AWS
- APIs
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Senior Embedded Developer
Planitar —Waterloo, ON
- $112,000–$134,000 a year
- Full-time
- Hybrid work
- AWS
- C++
- APIs
- Dental care
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11d
Lead Telecom Engineer - Electrical Utilities
CIMA+ —Guelph, ON
- $108,080–$148,610 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Programmable logic controllers
- Employee assistance program
- Flexible schedule
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Unreal Engine C++ XR Developer II
Mawari Technologies —Waterloo, ON
- $100,000–$150,000 a year
- Full-time
- Computer science
- Computer Science
- Engineering
- Dental care
- Flextime
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Job Captain - Architectural
New Generation Design Wave —Waterloo, ON
- $84,000–$110,000 a year
- Full-time
- AutoCAD
- Microsoft Office
- Project management
- Dental care
- Employee assistance program
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Technical Architect & Engineering Lead
Bridgeport Crew —Kitchener, ON
- $70,000–$100,000 a year
- Azure
- DevOps
- System design
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Senior Ruby Developer - RBCx - Dr. Bill
Royal Bank of Canada —Waterloo, ON
- Full-time
- DevOps
- Engineering
- Databases
Director, Developer Operations and Experience
Miovision —Kitchener, ON
- Full-time
- Hybrid work
- DevOps
- Java
- AWS
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Senior Electrical Designer
Engineered Lifting Systems & Equipment, Inc. (CA) —Elmira, ON
- $72,347–$132,636 a year
- Full-time
- Hybrid work
- Microsoft Powerpoint
- Microsoft Word
- AutoCAD
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19h
DevOps and Cloud Manager
The Land Administration Company Inc —Canada
- $130,000–$155,000 a year
- Full-time
- DevOps
- AWS
- Continuous improvement
- Disability insurance
- Dental care

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Solution Specialist Hybrid Cloud
Compugen Inc —Ontario
Focus on customers and quality by achieving a trusted advisor status with selected customers based on an understanding of the industry and the customerâ€™s…
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Program Delivery Lead – AWS CDK, SQS, Kinesis, Cognito, Service Catalog, IAM, VPC
APPTOZA INC. —Toronto, ON
An understanding of writing/understanding Infrastructure-as-Code (IaC), using tools like CloudFormation and CDK. Toronto ON – Hybrid 3days onsite *.
$45–$50 an hour
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Principal Data Engineer
Tangerine Bank —Toronto, ON
Participates in the design and implementation of the Tangerine data engineering strategy and platform, advising senior leadership and executing on the vision…
5d

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AI Software Lead

Ironbelly Studios
Waterloo, ON

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Job details

Qualifications

TensorFlow
CI/CD
Computer Science
Software Engineering
PyTorch
Engineering
Mathematics
Master's degree
C++
Math
C
Bachelor's
OpenCV
Organizational skills
Cybersecurity
AI
Robotics
Python
Time management

Full job description

Musashi AI North America, Inc. is a growing hardware and software focused company that builds smart vision solutions for quality assurance in manufacturing environments. Based in Waterloo, Ontario, Musashi AI North America employs a talented and dynamic team of R&D and Applications Engineers who lead design, prototyping, and testing efforts to drive new technology development, build innovative products, and support our deployed solutions.

The AI Team Lead, responsible for prioritizing team tasks, defining growth plans, and ensuring high team performance, will lead the development, deployment, integration, and ongoing maintenance of AI/ML solutions across the organization. This role focuses on transitioning AI/ML research and prototypes into robust, scalable production systems while ensuring continuous operation, performance optimization, and adaptability to evolving business needs. As a team lead, you will be both a hands-on contributor and strategic leader, managing a high-performing team of AI/ML engineers. You will be responsible for setting the technical direction and AI strategy, prioritizing tasks, defining team structure, establishing KPIs, and driving team growth and development. The role will be roughly 30% leadership and 70% hands-on, balancing technical execution with leadership and mentoring responsibilities. The team lead will collaborate with cross-functional teams including optics, electrical and robotics, and dashboard analytics, and will influence strategic initiatives that drive cost reduction, productivity improvements, and long-term value.

Reports to: Director of Engineering

Qualifications:

Bachelor’s degree or higher in Computer Science, Software Engineering, Math, or a related field. Preferably P.Eng or master's in Computer Science, Software Engineering.
10+ years of experience designing, deploying, and maintaining AI/ML solutions in production environments, including 5+ years in technical leadership or architecture roles.
Deep experience with state-of-the-art computer vision algorithms and their real-world applications.
Proficiency in Python, C, C++, and libraries such as OpenCV and CUDA.
Expertise with frameworks such as TensorFlow and/or PyTorch.
Experience productizing ML models with tools like CUDA, TensorRT, TFLite, and model quantization.
Strong understanding of edge computing technologies (e.g., Nvidia GPUs) and cloud computing platforms.
Experience with CI/CD pipelines and MLOps practices for deploying and updating ML systems.
Proven ability to create, manage, and deploy deep learning datasets for computer vision tasks.
Experience in industrial automation, automated inspection systems, or robotics is a strong asset.
Strong mathematical, analytical, and problem-solving skills.
Demonstrated ability to lead, mentor, and collaborate effectively in a team environment.

Job Responsibilities:

This role combines both strategic leadership and hands-on execution. To make the blend of responsibilities clear, they are grouped together below, showing how the AI Team Lead balances direction setting, team management, and direct technical contributions.

Strategic Leadership

Ability to drive measurable business outcomes and communicating impact to leadership.
Define the technical direction and long-term AI/ML strategy for Musashi AI North America.
Provide strategic guidance on project planning, cost, risk management, and deployment feasibility.
Define team structure, establish performance KPIs, and drive growth strategies for the AI/ML team.
Prioritize engineering efforts and balance workloads across projects to meet key milestones.
Present project updates, performance metrics, and future plans to internal stakeholders and leadership.

Operational & Hands-On Execution

Lead the end-to-end deployment and integration of AI/ML models into production systems with a focus on scalability, performance, and robustness.
Translate computer vision research and IP into production-ready, maintainable systems.
Oversee maintenance and performance monitoring of deployed systems, ensuring minimal downtime and continuous improvement.
Define and test models against production metrics and business KPIs.
Conduct applied research to support product development and troubleshoot production issues.
Monitor and evaluate new trends and technologies in AI/ML to guide internal strategy and tool adoption.
Mentor junior engineers and drive team growth through recruitment, training, and performance development, fostering best practices across AI/ML and engineering teams.
Travel to client and Musashi locations as needed for project execution and collaboration.

Preferred Skills:

Experience with system monitoring, alerting, and observability tools for production AI.
Understanding of cybersecurity best practices for ML systems in industrial environments.

Personal Attributes:

Creative and analytical thinker with a proactive and solution-oriented mindset.
Strong time management and organizational skills.
Confident communicator who can convey complex technical ideas across teams.
Professional, mature, and composed under pressure.
Initiative-driven and comfortable leading through ambiguity.
Collaborative and respectful team member who uplifts peers and contributes to team culture.

Musashi AI North America Expectations:

Uphold company values, policies, and ethical standards.
Be a champion of the Musashi Philosophy and 5S principles.
Maintain adherence to all safety protocols and procedures.
Contribute to the achievement of company and departmental goals.
Engage constructively with peers and cross-functional collaborators.

Please note: This job description is not exhaustive. Duties and responsibilities may change at any time based on business needs.

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cloud engineer jobs in waterloo, on

AI Software Lead

Director, Professional Services

AI Vision Fullstack Developer

Senior Embedded Developer

Lead Telecom Engineer - Electrical Utilities

Unreal Engine C++ XR Developer II

Job Captain - Architectural

Technical Architect & Engineering Lead

Senior Ruby Developer - RBCx - Dr. Bill

Director, Developer Operations and Experience

Senior Electrical Designer

DevOps and Cloud Manager

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