About the job
About Etched
Etched builds AI inference systems designed specifically for transformer models. The company’s technology delivers over ten times the performance of traditional solutions, while cutting both cost and latency. Etched’s advanced ASICs enable products that were once out of reach for GPUs, such as real-time video generation and complex reasoning agents. Backed by leading venture capital and a team of experienced engineers, Etched is focused on reshaping the infrastructure for one of the fastest-growing industries.
Role Overview
The Design Verification Engineer - Internal IP will join the Internal IP DV team in Austin. This role centers on validating custom IP blocks that drive Etched’s products, including systolic arrays, DMA engines, and NoCs. The work ensures these components are ready for silicon and deliver high performance. The position involves close collaboration with architects, RTL designers, and software, firmware, and emulation teams to confirm the integrity and efficiency of the hardware-software stack.
What You Will Do
- Develop and maintain UVM/SystemVerilog testbenches for compute arrays, DMA engines, NoCs, and memory subsystems.
- Design and execute detailed verification plans covering functional correctness, edge cases, concurrency, and performance tuning.
- Debug complex datapath and protocol issues in RTL and testbench environments.
- Work directly with architects and designers to validate functionality and design intent.
- Partner with software, firmware, and emulation teams to support comprehensive bring-up and debugging.
- Help build reusable DV infrastructure, coverage models, and improve verification methodologies.
Qualifications
- Expert knowledge of UVM and SystemVerilog.
- Strong analytical and debugging skills for complex digital designs.
- Solid understanding of computer architecture and core digital design concepts.
- Hands-on experience verifying datapaths, memory systems, interconnects, or high-throughput fabrics.
Preferred
- Additional background with verification tools and methodologies is beneficial.
