Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
- Excellent technical writing skills. You can turn a complex implementation or experimental result into a clear, useful explanation
- Experience working with agent harnesses or related workflows involving prompting, tool calling, context management, and evaluation
- An informed view of the AI developer ecosystem and curiosity about new models, frameworks, and emerging application patterns
- Strong technical judgment. You can design fair comparisons, verify results, and distinguish observations from assumptions
More about this role
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; 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.
Cerebras works with the leading 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.
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 role on our DevRel team. Technical writing is a core part of the job. You’ll take projects from an interesting question through implementation,...
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