Hardware Engineer, Architect

ABOUT NORMAL COMPUTING Normal Computing builds silicon that turns thermal noise from an obstacle into a computational resource. Conventional chips spend most of their energy forcing determinism onto physics; ours compute with it. Stochastic, in-memory, asynchronous: the result is 10-100× more AI inference per dollar, per watt. We co-design the full stack: AI-native EDA systems in production with the world's largest semiconductor companies, and the advanced ASICs they make possible. Backed by $85M+ from the world's leading deep-tech investors and built by scientists, engineers, and operators from the labs that built modern computing. Normal works as one team across New York, Silicon Valley, London, Copenhagen, and Seoul. We hire people who want the hardest version of their craft, across every discipline, at every seniority. THE ROLE Most accelerator architecture is refinement: a known base compute architecture, a known programming model, and decades of prior art to lean on. This role is not that. Normal's silicon computes with stochastic analog dynamics in memory, and the architecture that exploits it fully is being discovered alongside the development. As our Silicon Architect, you will own the architecture of its compute blocks: the core decisions that determine how Normal's silicon actually computes, working directly with our Systems Architect, research and engineering leadership, and the AI platform team whose tools you'll use to design it. This is a seat for someone who wants to define structures that no prior art covers, and who has the architecture-to-silicon range to defend them all the way to tapeout. WHAT YOU WILL OWN - Compute Architecture: Help define the architecture and microarchitecture of novel AI accelerator compute blocks: PE array design, datapath organization, and support for efficiency techniques such as sparsity exploitation and reduced-precision computation. The compute tile is the surface where Normal's research advantages have to show up in s