Co-Design & Next-Gen AI Performance Engineer in Toronto

Co-Design & Next-Gen AI Performance Engineer in Toronto

Toronto Full-Time 124200 - 151800 $ / year (est.) On-site
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At a Glance

  • Tasks: Analyze and optimize AI model performance on cutting-edge hardware.
  • Company: Cerebras Systems, a leader in AI hardware innovation.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on next-gen AI advancements.
  • Why this job: Join a pioneering team and shape the future of AI technology.
  • Qualifications: Strong background in architecture and deep learning mathematics.

The predicted salary is between 124200 - 151800 $ per year.

Cerebras Systems builds an AI hardware platform designed to accelerate model training and inference at scale.

The role focuses on characterizing, analyzing, and optimizing performance of state-of-the-art AI models running on Cerebras’ WSE hardware.

You will work across hardware and software to identify bottlenecks, improve efficiency, and influence next-generation architecture and software systems.

Strong background in architecture and DL math is valued.

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Co-Design & Next-Gen AI Performance Engineer in Toronto employer: Cerebras

Cerebras Systems is an exceptional employer for those passionate about advancing AI technology, offering a unique opportunity to work on the world's largest AI chip in a dynamic and innovative environment. With a strong emphasis on employee growth, a non-corporate culture that values individual beliefs, and the chance to contribute to groundbreaking projects alongside leading enterprises and startups, Cerebras fosters a collaborative atmosphere where engineers can thrive and make a meaningful impact. Join us to be part of a team that not only pushes the boundaries of AI but also prioritizes job stability and continuous learning.

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Contact Details:

Cerebras Recruitment Team

We think you need these skills to ace Co-Design & Next-Gen AI Performance Engineer in Toronto

Performance Analysis
AI Model Optimization
Deep Learning Mathematics
Hardware and Software Integration
Bottleneck Identification
Efficiency Improvement
Architecture Design