
Etched
Frontier Inference Clusters
Open Positions at Etched
6 open positions
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 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.
Join Etched as a Machine Learning Research Engineer to innovate AI chip technology, focusing on transformer models and maximizing performance on Sohu hardware.
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 optimize functional models and simulation infrastructure for Etched’s Transformer-focused Sohu ASIC. You’ll bridge hardware architecture, software, and performance analysis across complex SoC systems.
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.