Senior ML Inference & Compiler Architect in Toronto

Senior ML Inference & Compiler Architect in Toronto

Toronto Full-Time 126000 - 154000 $ / year (est.) On-site
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At a Glance

  • Tasks: Develop and optimize algorithms for ML inference and compiler stacks.
  • Company: Leading tech company in Toronto with a focus on innovation.
  • Benefits: Competitive salary, collaborative environment, and opportunities for growth.
  • Other info: Work closely with hardware teams and benchmark performance metrics.
  • Why this job: Join a team pushing the boundaries of AI technology and make an impact.
  • Qualifications: Strong background in C/C++, compiler development, and deep learning frameworks.

The predicted salary is between 126000 - 154000 $ per year.

A leading technology company located in Toronto is seeking a Senior Machine Learning Applications and Compiler Engineer to develop and optimize algorithms for inference and compiler stacks.

Ideal candidates should have a strong background in C/C++, compiler development, and deep learning frameworks.

This role involves close collaboration with hardware teams, benchmarking performance metrics, and contributing innovative solutions for NVIDIA's platforms.

The base salary ranges from 135,000 CAD to 185,000 CAD, depending on level and experience. #J-18808-Ljbffr

Senior ML Inference & Compiler Architect in Toronto employer: NVIDIA Corporation (old)

Join a leading technology company in Toronto that fosters innovation and collaboration, offering a dynamic work culture where your contributions directly impact cutting-edge machine learning solutions. With competitive salaries and opportunities for professional growth, you'll thrive in an environment that values creativity and teamwork, while enjoying the vibrant city life of Toronto.

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Contact Details:

NVIDIA Corporation (old) Recruitment Team

We think you need these skills to ace Senior ML Inference & Compiler Architect in Toronto

C/C++
Compiler Development
Deep Learning Frameworks
Algorithm Development
Performance Benchmarking
Collaboration with Hardware Teams
Innovative Problem-Solving