Embedded / Software Engineer

This role involves designing and optimizing low-level compute kernels for Large Language Model inference and training on custom RISC-V based silicon. The engineer will write high-performance, CUDA-like code to interface with custom hardware accelerators, maximizing throughput and minimizing latency for next-generation AI workloads. The position bridges the gap between ML algorithms and hardware capabilities, requiring deep systems thinking and hands-on optimization skills.