In this role, you will post-train frontier models to autonomously perform complex tasks across the semiconductor design and verification pipeline. Models you train will propose and optimize chip architectures, generate and refine RTL code, run simulations, identify verification gaps, and iteratively improve designs — accelerating the pace of semiconductor innovation.
You will collaborate with leading experts in hardware design, verification, and computer architecture to design rich reinforcement learning environments that capture the intricacies of chip design workflows. You’ll develop structured reward functions, scaling strategies, and evaluation frameworks that push models toward higher reliability, efficiency, and creativity in semiconductor reasoning.
Your work will directly advance the goal of creating AI systems capable of reasoning about, designing, and verifying next-generation silicon systems.