About the position
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 global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.
Responsibilities
- Design, develop, and maintain open-source libraries, SDKs, and sample repos that make Cerebras the easiest-to-adopt inference platform.
- Create production-quality demo applications that highlight low latency, high gen speed, and cost advantages.
- Build and own CI/CD pipelines, tests, and release automation for all public repos.
- Collaborate with partner engineering teams to embed Cerebras inference into their products and publish joint reference architectures.
- Collect developer feedback, identify usability gaps, and influence the Cerebras API roadmap.
- Contribute to engineering blogs, tutorials, and conference talks to grow community awareness and adoption.
Requirements
- Bachelor’s or Master's degree in computer science or related field, or equivalent practical experience.
- 2+ years professional software engineering experience (or equivalent open-source track record).
- Solid understanding of GenAI applications and design patterns such as RAG.
- Proficiency in Python and/or TypeScript/JavaScript.
- Hands-on with at least one modern LLM framework (LangChain, LlamaIndex, CrewAI, AutoGen, etc.).
- Multiple non-trivial open source contributions, preferably to GenAI projects.
- Ability to move quickly from whiteboard idea to working prototype; bias toward shipping polished developer experiences.
- Strong communication skills—you enjoy writing clear docs and telling a compelling technical story.
Benefits
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
