About 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 In our firmware role, you will help develop firmware for custom ASICs designed to run large transformer models efficiently. You'll work across the stack-from low-level drivers, hardware interfaces, and system initialization code to integration with runtime libraries and model-execution frameworks. Your work will focus on making the hardware operate reliably and at peak performance, enabling high-throughput inference and training workloads. You'll collaborate with hardware, architecture, and software teams to bring up new silicon, validate features, and support real-world AI applications.
Requirements You may be a good fit if you have:
Nice to Have Qualifications
Program Details 12-week paid internship (June - August 2026) 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
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 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.
| Location | San Jose, CA |
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