Machine Learning Co-Design Researcher

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.

Key responsibilities

• Translate core mathematical operations from transformer models into optimized operation sequences for Sohu
• 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
• Collaborate with hardware engineers to maximize chip utilization and minimize latency
• Implement efficient batching strategies and execution plans for inference workloads
• Design and implement cutting edge inference time compute scaling methods
• Alter and fine-tune model architectures or inference time compute algorithms
• Contribute to the evolution of our system architecture and programming model

Representative projects

You may be a good fit if you have

Strong candidates may also have experience with

Benefits

Compensation Range

How we're different

Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.

We are a fully in-person team in West San Jose, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.