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We are seeking a skilled and motivated Silicon Validation Firmware Engineer to develop the firmware and low-level software that validates our AI/ML accelerator ASICs across their entire Lifecycle, from pre-silicon emulation and FPGA prototyping through post-silicon bring-up, characterization, and production ramp. In this role you will build the validation firmware, test content, and automation that prove our silicon works, and you will be hands-on debugging real hardware in the lab. Your work directly enables functional correctness, performance, and reliability of our cutting-edge products.
Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference . 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.
We are seeking a skilled and motivated Silicon Validation Firmware Engineer to develop the firmware and low-level software that validates our AI/ML accelerator ASICs across their entire Lifecycle, from pre-silicon emulation and FPGA prototyping through post-silicon bring-up, characterization, and production ramp. In this role you will build the validation firmware, test content, and automation that prove our silicon works, and you will be hands-on debugging real hardware in the lab. Your work directly enables functional correctness, performance, and reliability of our cutting-edge products.
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Etched believes in the Bitter Lesson . We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors.
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 and work across disciplines as needed.
Private semiconductor startup building AI inference chips, racks, and software for frontier-model customers.
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Entry · 2+ years experience
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