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Cuda Programming Jobs in Quebec (NOW HIRING)

Senior Deep Learning Engineer

Montreal, QC · On-site +1

$130K - $180K/yr

Experience in embedded or low-level programming * Knowledge of CUDA/OpenGL * Experience deploying neural networks in production * Familiarity with model compression techniques like quantization ...

Senior Deep Learning Engineer

Montreal, QC · On-site +1

$130K - $180K/yr

Experience in embedded or low-level programming * Knowledge of CUDA/OpenGL * Experience deploying neural networks in production * Familiarity with model compression techniques like quantization ...

Senior Deep Learning Engineer

Quebec, QC · On-site +1

$130K - $180K/yr

Experience in embedded or low-level programming * Knowledge of CUDA/OpenGL * Experience deploying neural networks in production * Familiarity with model compression techniques like quantization ...

Senior Deep Learning Engineer

Quebec, QC · On-site +1

$130K - $180K/yr

Experience in embedded or low-level programming * Knowledge of CUDA/OpenGL * Experience deploying neural networks in production * Familiarity with model compression techniques like quantization ...

Proficiency with AWS (SageMaker), Azure (Azure AI), or GCP (Vertex AI), alongside GPU acceleration (CUDA). Experience & Qualifications * Experience: 8 years in data science or AI engineering, with 2+ ...

Optimiser les pipelines de traitement visuel pour fonctionner en temps reel via CUDA ou OpenCL * Developper des interfaces de visualisation et de rendu avec OpenGL Integration et robustesse

Proficiency with AWS (SageMaker), Azure (Azure AI), or GCP (Vertex AI), alongside GPU acceleration (CUDA). Experience & Qualifications * Experience: 8 years in data science or AI engineering, with 2+ ...

Cuda Programming information

Are CUDA programmers in demand?

CUDA programmers are in high demand due to the growing need for high-performance computing in fields like artificial intelligence, scientific research, and data analysis. Skills in parallel programming, GPU architecture, and CUDA toolkit are highly valued by employers across technology, automotive, and research industries.

What is the difference between Cuda Programming vs GPU Developer?

AspectCuda ProgrammingGPU Developer
Required CredentialsKnowledge of CUDA, C/C++, parallel computingKnowledge of GPU architecture, CUDA, OpenCL, C/C++
Work EnvironmentHigh-performance computing, scientific research, AIGraphics, gaming, scientific visualization, AI
Industry UsageTech companies, research labs, AI firmsGaming, entertainment, tech, research

While Cuda Programming focuses specifically on writing code using NVIDIA's CUDA platform for parallel processing, GPU Developers have a broader role that includes designing, optimizing, and implementing GPU-based solutions across various platforms and technologies. Both roles require knowledge of GPU architecture and programming languages like C/C++, but GPU Developers often work on a wider range of applications beyond CUDA-specific projects.

What does a CUDA programmer do?

A CUDA programmer develops software that leverages NVIDIA's CUDA platform to perform parallel computing tasks on GPUs. They write and optimize code using languages like C++ and CUDA-specific libraries to accelerate applications in fields such as scientific computing, machine learning, and graphics processing.

What are popular job titles related to Cuda Programming jobs in Quebec?

For Cuda Programming jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Cuda Programming jobs in Quebec look for?

The top searched job categories for Cuda Programming jobs in Quebec are:

Infographic showing various Cuda Programming job openings in Quebec as of August 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution.

Senior Deep Learning Engineer

Targeted Talent

Montreal, QC • On-site, Remote

$130K - $180K/yr

Full-time

Re-posted 5 days ago


Job description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 5+ years of experience, with at least 2 years in both deep learning and software engineering
  • Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
  • Experience with CNNs, LSTMs/RNNs, Transformers
  • Strong math skills and Python proficiency
  • Experience with C/C++

Preferred Skills & Experience:

  • Master's or PhD in Computer Science, Engineering, or related field
  • Experience in embedded or low-level programming
  • Knowledge of CUDA/OpenGL
  • Experience deploying neural networks in production
  • Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.

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About Targeted Talent

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Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA