AI Engineering Intern - Growth Team

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip. This delivers industry-leading training and inference speeds for large-scale ML applications.

The Growth Team drives AI adoption across Cerebras as a multi-disciplinary group owning product, engineering, and marketing. We build agentic workflows, internal knowledge systems, and developer infrastructure using Claude Code, MCP, RAG pipelines, and multi-agent architectures. You'll embed with kernel, design verification, and cloud platform engineers to ship AI tooling.

Own end-to-end workstreams by scoping problems with engineering teams, building agentic systems, iterating on user feedback, and shipping internal tools. Projects target AI agents for design verification and ASICs, kernel and model bringup, and cloud platform SRE workflows. Work directly with teams building Cerebras chips and inference platform.

This 12-week paid in-person internship runs June through August 2026 in Toronto or Sunnyvale offices. Capstone involves shipping a real tool like a RAG-powered knowledge base, MCP integration, or multi-agent system. Accelerate actual hardware and software development workflows that engineers use daily.