Staff Software Engineer, AI Inference Systems in Toronto

Staff Software Engineer, AI Inference Systems in Toronto

Toronto Full-Time 121500 - 148500 $ / year (est.) On-site
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At a Glance

  • Tasks: Build and evolve the ML API layer for cutting-edge AI inference systems.
  • Company: Cerebras Systems, a leader in AI chip technology.
  • Benefits: Competitive salary, health benefits, and opportunities for remote work.
  • Other info: Dynamic work environment with significant growth potential.
  • Why this job: Join a pioneering team and shape the future of AI technology.
  • Qualifications: Experience in software engineering and a passion for AI.

The predicted salary is between 121500 - 148500 $ per year.

Cerebras Systems builds the world's largest AI chip and is hiring a Software Engineer to build and evolve the ML API layer for a disaggregated inference system. You will work across inference APIs, model integration, request-routing services, and Cerebras runtimes to deliver a consistent experience across models and accelerator backends. This hands-on role touches streaming, tool use, structured outputs, multimodal inputs, and production-quality APIs, collaborating with model enablement.

Staff Software Engineer, AI Inference Systems 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 Staff Software Engineer, AI Inference Systems in Toronto

Machine Learning API Development
Model Integration
Request-Routing Services
Cerebras Runtimes
Streaming Technologies
Tool Use
Structured Outputs