Toronto, On Gpu design Jobs – 63 Openings This Week

Creative Technologist
Cineflix —Toronto, ON
- $120,000–$140,000 a year
- Full-time
- Hybrid work
- AI
Quick apply
4d
Machine Learning Intern - Bachelor's Degree
Marvell —Toronto, ON
- $36–$48 an hour
- Full-time
- Doctoral degree
- C++
- Bachelor's
GPU Design Verification Engineer
Qualcomm —Markham, ON
- $132,600–$182,600 a year
- Computer science
- Doctoral degree
- Computer Science
GPU/CUDA Developer
Bluewrist —Markham, ON
- Computer science
- Doctoral degree
- Computer Science
Software Developer
Conavi Medical —Toronto, ON
- Full-time
- Computer science
- Computer Science
- Engineering
Quick apply
Staff AI Software Engineer
iManage —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Dental care
- Paid time off
Quick apply
4d
GenAI ML Engineer
Tata Consultancy Services —Toronto, ON
- $90,000–$110,000 a year
- Azure
- DevOps
- AWS
Solutions Architect, Networking
NVIDIA —Toronto, ON
- $135,000–$220,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Sales
AI Research Engineer
Deloitte —Toronto, ON
- $72,000–$138,000 a year
- Hybrid work
- Azure
- DevOps
- AWS
Generative AI Software Engineer
Apertera —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Dental care
- Vision care
Quick apply
10d
Systems Architect
HTS Engineering - Heat Transfer Solutions —Toronto, ON
- $200,000–$210,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- Computer networking
Quick apply
Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026
NVIDIA —Toronto, ON
- $105,000–$185,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Forward Deployed Engineer
Hitachi —Toronto, ON
- $125,000–$270,000 a year
- Full-time
- Azure
- SQL
- AWS
Back-End Platform Developer
Mimosa Diagnostics —Toronto, ON
- Full-time
- Hybrid work
- Azure
- DevOps
- Java
- Dental care
- Work from home
Quick apply
Head of Engineering
Parallelz —Toronto, ON
- Hybrid work
- DevOps
- AWS
- C++
- Dental care
- Paid time off
Quick apply
Senior Machine Learning Developer
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- SQL
- AWS
Lead Machine Learning Engineer
Serve Robotics —Toronto, ON
- $225,000–$260,000 a year
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Engineering
Principal Architect, CSA
Softchoice —Toronto, ON
- $168,000–$224,000 a year
- Full-time
- DevOps
- Master's degree
- Presentation skills
- Disability insurance
- Dental care
Senior AI developer
Aon Corporation —Toronto, ON
- $128,300–$171,100 a year
- Hybrid work
- Azure
- Computer Science
- DevOps
Senior Machine Learning Engineer
Red Hat, Inc. —Toronto, ON
- Full-time
- Doctoral degree
- Computer Science
- Engineering

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gpu design jobs near toronto, on

Creative Technologist

Cineflix -
Toronto, ON

Quick apply

Job details

Full-time
$120,000–$140,000 a year
4 days ago

Qualifications

AI
Adobe After Effects

Full job description

The Company

Cineflix Media

Cineflix creates, produces, and distributes must-watch TV for global platforms, with operations in Montreal, Toronto, Vancouver, New York, Los Angeles, London, and Dublin. A leading international media company, the group includes top-ranking sales and acquisitions division, Cineflix Rights, as well as production labels Buccaneer and C3 Media. With a catalogue of 7,600 hours of select programming across a wide range of genres and a collection of YouTube and FAST channels streaming 24/7, Cineflix is behind some of TV’s most popular and long-running shows.

AI Production Unit · Cineflix Productions

A Rare Opportunity to Build What’s Next in Production

Cineflix is launching a newly created AI Production Unit — a small, high-impact team rethinking how content gets made.

We’re looking for a Creative Technologist to be at the centre of this shift — someone who can turn ideas into production-ready visuals at speed, using the latest generative AI tools. This is not a research role. It’s about building, shipping, and shaping what AI-enabled production looks like on real shows.

If you’re excited by the idea of defining new creative workflows, influencing how AI is used across a global slate, and working directly with producers to bring ideas to life — this is that opportunity.

About the Role

You are the primary creator inside the AI Production Unit — the person generating image and video outputs, directing generative models, and translating creative intent into finished work quickly enough to keep pace with production.

You’ll work across a wide range of formats — from broadcast to digital originals — helping teams move from concept to execution in a single conversation. You’ll also help shape the systems, workflows, and standards that will define this Unit as it scales.

You’ll partner closely with an AI Compositor and lead the creative direction of the Unit’s output.

The salary range for this role is 120,000-140,000CAD

What You’ll Do

Create high-quality visual content at production speed
Generate stills and motion content using the right tools for the job (ComfyUI, Runway, Kling, LTX, Luma, Midjourney, etc.), maintaining visual consistency across outputs.
Run and evolve AI pipelines
Operate and adapt workflows (primarily ComfyUI), integrate new models, and troubleshoot under production timelines.
Direct models toward creative intent
Build prompt libraries, LoRAs, and style systems that ensure consistency across episodes and projects.
Work directly with producers and creatives
Turn briefs into executable outputs quickly, enabling rapid iteration and decision-making.
Own creative quality
Set the bar for what ships. Lead selection, iteration, and final approvals with the AI Compositor.
Ensure traceability and reproducibility
Maintain detailed generation logs to meet production, contractual, and insurance requirements.

Own data and media management discipline Maintain clear deliverable specs, dependable backups, and consistent naming and folder structures across productions.

What We’re Looking For

Strong creative or technical-art background (AI, VFX, CGI, motion, computational art)
Hands-on experience with leading generative AI tools (ComfyUI, Runway, Midjourney, Kling, Luma, etc.)
Experience working with or adapting AI pipelines in a production environment
Work delivered to a real audience (broadcast, streaming, digital, or commercial)
Strong documentation discipline and attention to reproducibility
Calm, pragmatic, and reliable under deadline
Working knowledge of post-production tools (Adobe, Resolve, After Effects, Nuke)

We don’t expect mastery of everything. Depth in one area, combined with strong capability across others, is exactly what makes someone successful in this role.

Nice to Have

Pipeline or infrastructure design experience
Experience running local AI models or GPU environments

Portfolio Expectations

A reel demonstrating AI-generated work (image and/or video)
Two short breakdowns explaining tools, workflow, and approach
One example of a workflow (e.g., ComfyUI graph or equivalent)

How to apply

This posting reflects an existing vacancy. Cineflix does not use artificial intelligence in the screening, assessment, or selection of applicants for this role.

If you are interested in this opportunity, please send your resume and cover letter to the Director, Human Resources, Mackenzie Graham via the provided link. No phone calls please. We thank all applicants, but only those selected will be contacted.

Cineflix Media is an equal opportunity employer committed to providing a diverse environment. Cineflix welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

Quick apply

Refine Your Search

gpu design jobs in toronto, on

Creative Technologist

Machine Learning Intern - Bachelor's Degree

GPU Design Verification Engineer

GPU/CUDA Developer

Software Developer

Staff AI Software Engineer

GenAI ML Engineer

Solutions Architect, Networking

AI Research Engineer

Generative AI Software Engineer

Systems Architect

Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026

Forward Deployed Engineer

Back-End Platform Developer

Head of Engineering

Senior Machine Learning Developer

Lead Machine Learning Engineer

Principal Architect, CSA

Senior AI developer

Senior Machine Learning Engineer

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