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, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
The Growth Team drives AI adoption across Cerebras. We are a multi-disciplinary team that owns product, engineering and marketing responsibilities.
We build agentic workflows, internal knowledge systems, and developer infrastructure that help our engineering orgs – kernel, design verification, and cloud platform – ship faster. Our stack includes Claude Code, MCP (Model Context Protocol), RAG pipelines, and multi-agent architectures, and we work directly with the teams building Cerebras’s chips and inference platform.
This summer, you’ll embed with engineers across the company to build AI tooling that accelerate real hardware and software development workflows. Your work won’t sit on a shelf – you’ll ship internal tools that our engineers actually use.
About the RoleWe’re looking for an AI Engineer Intern to join the Growth Team for Summer 2026. You’ll own end-to-end workstreams: scoping problems with engineering teams, building agentic systems, iterating based on user feedback, and shipping a working internal tool by the end of the internship.
This is a 12-week, paid, in-person internship based in our Sunnyvale, CA or Toronto, ON office, running June through August 2026.
What You’ll Work On1. AI Agents for Design Verification & ASICsWork directly with the design verification and ASICs teams to build AI agents that speed up chip development. This could include automated test generation, debug triage, or verification workflow acceleration. You’ll learn how silicon gets shipped and build tooling that compresses the iteration cycle.
2. AI Agents for Kernel & Model BringupBuild agentic workflows that accelerate how we bring up new models on Cerebras hardware. This means working with the kernel team to identify bottlenecks in the bringup process and building AI-powered tools – using Claude Code, MCP integrations, and RAG systems – that help engineers move faster from first compile to production readiness.
3. AI Agents for Cloud Platform & SREPartner with the cloud platform team to build AI agents that reduce incident response time and speed up SRE workflows. Think automated log analysis, intelligent runbook execution, and agentic debug loops that help on-call engineers resolve issues faster.
Capstone: Ship an Internal ToolBy the end of the internship, you’ll have built and shipped at least one internal tool – whether that’s a RAG-powered knowledge base, an MCP integration, or a multi-agent system – that engineering teams at Cerebras are actively using. You’ll present your work and its impact to engineering leadership.
What We’re Looking For- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
- Strong Python skills – you’ll be writing real infrastructure code, not just notebooks
- Comfortable with ambiguity – you’d rather start building and iterating than wait for a perfect spec
- Genuine interest in AI tooling and developer productivity – you care about how engineers work, not just what they build
- Familiarity with LLM APIs (Chat Completions, tool calling, structured outputs)
Bonus:
- Experience with RAG systems, vector databases, or embedding pipelines
- Has used Claude Code, Cursor, or similar AI coding tools in personal or academic projects
- Familiarity with MCP (Model Context Protocol) or agentic framework patterns
- Exposure to hardware development workflows (chip design, verification, ASIC toolchains) or SRE/infrastructure operations
- Able to work in-person from our Sunnyvale, CA or Toronto, ON office for the duration of the internship
- Direct mentorship from the Head of Growth, with regular exposure to engineering leads across kernel, DV, and cloud platform teams
- Real impact – you’ll ship tools that engineers use, not write reports that get filed away
- A capstone moment – you’ll present your shipped tool and its measurable impact to engineering leadership
- Hands-on experience building agentic systems at the intersection of AI and silicon
- Exposure to the full Cerebras stack – from wafer-scale hardware to inference infrastructure to developer tooling
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
Read our blog: Five Reasons to Join Cerebras in 2026.
Apply today and become part of the forefront of groundbreaking advancements in AI!Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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Cerebras Systems Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cerebras Systems and has not been reviewed or approved by Cerebras Systems.
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Fair & Transparent Compensation — Pay is considered competitive for an AI‑hardware firm, and many employees are described as generally happy with compensation. Sentiment indicates compensation is viewed favorably while acknowledging variation by role and seniority.
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Healthcare Strength — Health coverage is described as top quality with medical, dental, and vision included. Premiums are reportedly fully covered for employees in some plans, increasing perceived value.
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Flexible Benefits — Work‑from‑home flexibility is regarded as strong. Flexible arrangements complement standard offerings like vacation, sick leave, and paid holidays.
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What We Do
Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, functional business experts and engineers of all types. We have come together to build a new class of computer to accelerate artificial intelligence work by three orders of magnitude beyond the current state of the art. The CS-2 is the fastest AI computer in existence. It contains a collection of industry firsts, including the Cerebras Wafer Scale Engine (WSE-2). The WSE-2 is the largest chip ever built. It contains 2.6 trillion transistors and covers more than 46,225 square millimeters of silicon. The largest graphics processor on the market has 54 billion transistors and covers 815 square millimeters. In artificial intelligence work, large chips process information more quickly producing answers in less time. As a result, neural networks that in the past took months to train, can now train in minutes on the Cerebras CS-2 powered by the WSE-2. Join us: https://cerebras.net/careers/
