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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.
Our chip simulation and tooling role will co-design, develop, and test simulations of our custom hardware and tools that engineers use to analyze those systems. You will be working at the cutting edge of hardware innovation, closely coordinating with both software and hardware teams across their whole development path.
Progress towards a Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related technical field.
Proficiency in C/C++ or Rust
Strong fundamentals in data structures and algorithms
Strong understanding of low-level software engineering
Strong understanding of hardware/software co-design
Excellent communication and collaboration skills
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12-week paid internship
Generous housing support for those relocating
Daily lunch and dinner in our office
Based at our office in San Jose, CA
Direct mentorship from industry leaders and world-class engineers
Opportunity to work on one of the most important problems of our time
For any questions, contact internships@etched.com
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 San Jose (Santana Row), 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.
Private semiconductor startup building AI inference chips, racks, and software for frontier-model customers.
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Entry · 0+ years experience
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