Normal is rethinking semiconductors from the ground up. Normal EDA - Normal deploys AI software to accelerate complex hardware engineering with zero defects – all in one unified EDA platform. Normal ASICs - With the help of Normal EDA and our closest... Backed by Drive Capital.
About the role
Normal's hardware runs the most memory-bound parts of large-model inference inside memory itself, rather than shuttling weights to a processor. The software that makes this programmable doesn't exist yet in any standard form. Getting a model correct on that hardware is the frontend's job; making it fast is yours. Our hardware does not look like a CPU or GPU, so its compiler backend can't be borrowed from one. Found on 1752vc Careers, the job board for startup and VC roles.
More about this role
Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), and London.
Normal's hardware runs the most memory-bound parts of large-model inference inside memory itself, rather than shuttling weights to a processor. The software that makes this programmable doesn't exist yet in any standard form. Getting a model correct on that hardware is the frontend's job; making it fast is yours. Our hardware does not look like a CPU or GPU, so its compiler backend can't be borrowed from one. As a Compiler Engineer focused on the backend, you will help design and build the custom compilation that maps LLM inference onto it, from scheduling and memory planning to the code our hardware actually executes.
You will work at the boundary between the compiler and the hardware, closely enough to know when an optimization belongs at a different layer, or when the right answer is a new abstraction. Our...
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