Inference Intern

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About this role

Inference Intern San Jose, CA, United States About Etched Etched is building the world's first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary We are seeking talented Fall '26, Spring '27, and Summer '27 Inference Architecture interns to join our team and contribute to the design of next-generation AI accelerators. This role focuses on developing and optimizing compute architectures that deliver exceptional performance and efficiency for transformer workloads. You will work on cutting-edge architectural problems and performance modeling over the course of your internship. Key responsibilities - Support porting state-of-the-art models to our architecture. Help build programming abstractions and testing capabilities to rapidly iterate on model porting. - Assist in building, enhancing, and scaling Sohu's runtime, including multi-node inference, intra-node execution, state management, and robust error handling. - Contribute to optimizing routing and communication layers using Sohu's collectives. - Utilize performance profiling and debugging tools to identify bottlenecks and correctness issues. - Develop and leverage a deep understanding of Sohu to co-design both HW instructions and model architecture operations to maximize model performance - Implement high-performance software components for the Model Toolkit You

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