Etched
Etched designs and sells AI inference chips and servers that hard‑code support for specific model architectures. Its first ASIC, Sohu, targets transformer models to deliver high‑throughput, low‑latency inference for workloads such as real‑time generation. Founded in 2022 and headquartered in San Jose, California, the privately held company serves organizations building large‑scale AI inference clusters and infrastructure.
Open Positions at Etched
6 open positions
Build software and emulation infrastructure that accelerates SoC bring-up, pre-silicon validation, and debugging for Etched’s model-specific AI chips. You’ll work across hardware and software teams on high-performance tooling, DPI transactors, and emulation-efficient chip models.
Build and optimize firmware and software that unlocks the performance of Etched’s transformer-focused Sohu ASIC. You’ll work across low-level drivers, embedded architectures, and higher-level AI software alongside hardware and software experts.
Build and troubleshoot firmware and software for Etched’s transformer-focused Sohu ASIC. You’ll work across embedded systems, drivers, APIs, and AI software to enable high-performance transformer applications.
Build high-performance inference software for Etched’s specialized AI chips, from scheduling and acceleration to distributed multi-server serving. You’ll work closely with hardware, firmware, drivers, researchers, and product teams in a fully in-person Cupertino environment.