Frontier AI Systems Research Engineer in Markham

Frontier AI Systems Research Engineer in Markham

Markham Temporary 90000 - 110000 $ / year (est.) On-site
H

At a Glance

  • Tasks: Dive into cutting-edge AI research and develop innovative mapping frameworks for AI models.
  • Company: Join Huawei Canada, a leader in tech innovation and AI advancements.
  • Benefits: Gain valuable experience, competitive pay, and the chance to work on groundbreaking projects.
  • Other info: 12-month contract with opportunities for growth in a dynamic tech environment.
  • Why this job: Be at the forefront of AI technology and contribute to next-gen solutions.
  • Qualifications: Strong background in AI model architectures and hardware optimization.

The predicted salary is between 90000 - 110000 $ per year.

Huawei Canada is inviting a Researcher for a 12-month contract focusing on Frontier AI Technology Research.

The role analyzes state-of-the-art AI model architectures and hardware workloads, developing mapping frameworks from AI models to hardware needs and deployment strategies.

You will evaluate performance trade-offs, contributing to next-gen AI accelerators with Roofline-based analyses and experimental kernel optimizations.

#J-18808-Ljbffr

Frontier AI Systems Research Engineer in Markham employer: Huawei Canada

Huawei Canada is an exceptional employer for those looking to advance their careers in optical networking. With a commitment to innovation and a supportive, diverse work culture, employees have access to cutting-edge technology and opportunities for professional growth within the Advanced Optical Technology Lab. Join us to be part of a team that values collaboration and creativity while making significant contributions to the future of optical systems.

H

Contact Details:

Huawei Canada Recruitment Team

We think you need these skills to ace Frontier AI Systems Research Engineer in Markham

AI Model Architecture Analysis
Hardware Workload Evaluation
Mapping Framework Development
Performance Trade-off Evaluation
Roofline-based Analysis
Experimental Kernel Optimization
Next-gen AI Accelerator Contribution