Teams at d-Matrix

Lead SoC architecture definition and delivery for AI accelerators. Analyze AI workloads, drive hardware/software co-design, performance modeling, simulation tools, kernel and networking fabric work, port and optimize customer workloads, and collaborate across RTL, DV, and software teams.

Design and implement efficient algorithms to optimize LLM inference on DNN accelerators. Collaborate with mathematicians, ML researchers, and engineers to apply advanced algorithmic and numerical techniques for high-impact generative AI performance improvements.

The Principal Architect will analyze ML workloads, contribute to hardware/software features for inference accelerators, and develop analytical performance models.