Cerebras AI Engineer, Developer Relations at Cerebras builds prototypes and writes technical content demonstrating fast AI inference capabilities. The role involves developer education, model experimentation, and optimizing model harnesses.
Responsibilities
We’re looking for an AI Engineer who loves building with new models, experimenting with developer tools, and writing about what they learn. You’ll create prototypes that demonstrate what fast inference makes possible, optimize the harnesses around models, and turn your findings into technical content that helps other developers build.
This is a hands-on Developer Relations role on our DevRel team. Technical writing is a core part of the job. You’ll take projects from an interesting question through implementation, testing, and a clear explanation others can follow. You should be as comfortable debugging an agent workflow or comparing model behavior as you are writing a tutorial or presenting a demo.
Technical writing: Write blogs, tutorials, walkthroughs, and practical guides grounded in your own experiments. Explain how things work, why implementation choices matter, and how developers can reproduce your results.
Prototypes and demos: Find original ways to showcase Cerebras fast inference. Build sample applications, notebooks, and interactive experiences that make the benefit tangible.
Harness optimization: Build and improve the code and workflows around models, including prompts, tool use, context management, orchestration, and evaluation. Identify bottlenecks and test ways to improve speed, reliability, and output quality.
Model experimentation: Try new models and investigate their capabilities, limitations, and fit for different tasks. Compare behavior on realistic workloads and turn useful findings into examples and recommendations for developers.
Evaluation and reproducibility: Design practical tests, measure results, and validate technical claims. Make your code easy to run and explain the assumptions, tradeoffs, and limitations behind your conclusions.
Launches and developer education: Partner with Product, Engineering, and New Media to create technically accurate launch examples, workshops, and stories. Present your work and help developers understand how to apply it.
Developer feedback: Engage with developers, troubleshoot integrations, and turn recurring questions and friction into improvements to examples, documentation, and the product experience.
Skills and Qualifications
A strong portfolio of AI applications, prototypes, technical writing, tutorials, or other substantive developer-facing work.
Hands-on experience building with model APIs and debugging AI application workflows.
Qualification
Experience optimizing latencyContributions to open-source projectsPlease include links to codeWhy Join Cerebras
Preferred
Experience optimizing latency, responsiveness, or reliability in AI applications.
Contributions to open-source projects, developer tools, or publicly available technical examples.
Experience teaching developers through workshops, talks, or live demonstrations.
Please include links to code, prototypes, and technical writing you’ve created. Identify what you personally built or wrote, explain the problem you explored, and share the results or lessons learned.
Cerebras Systems is an equal opportunity employer. We welcome different backgrounds and perspectives and strive to create an inclusive environment where people can learn, grow, and do their best work.
Why Join Cerebras
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.
