AI Cloud Platform Software Engineer – Internship

Cerebras has developed a radically new chip and system to dramatically accelerate deep learning applications. Our system runs training and inference workloads orders of magnitude faster than contemporary machines, fundamentally changing the way ML researchers work and pursue AI innovation.

We are innovating at every level of the stack – from chip, to microcode, to power delivery and cooling, to new algorithms and network architectures at the cutting edge of ML research. Our fully-integrated system delivers unprecedented performance because it is built from the ground up for deep learning workloads.

Cerebras is building a team of exceptional people to work together on big problems. Join us!

About the Role

As a software engineer on our AI cloud platform, you will work on our cloud platform for AI model training and inference. In this role, you will be responsible for optimizing deployment for minimal latency and efficient load balancing, and on ensuring high reliability, scalability, security, and observability of our distributed training and inference infrastructure. You will define and document production requirements, implement scaling strategies, and ensure robust API server management and high availability. 

You will develop tools to map out system bottlenecks and sources of instability, and design and build solutions to address them. 

We’re looking for talented software engineers who thrive in ambiguity, view change as an opportunity, and have a voracious desire to learn and share knowledge clearly and concisely. 

Requirements

• Enrolled in the University of Toronto’s PEY program with a degree in Computer Science, Computer Engineering, or other related disciplines.
• Experience building high-reliability, production-grade cloud services.
• Exposure or experience in developing or building ML serving and/or training services, preferably for modern generative AI models.
• Familiarity with the latest AI model architectures and efficient implementation of serving systems for these models.
• Strong problem-solving skills and excellent communication skills.
• A real passion for AI!