Normal Computing Corporation
At Normal, we're rewriting AI foundations to advance the frontier of reasoning and reliability in the physical world. We are tackling problems across semiconductors and industrials with a mix of interdisciplinary approaches across the full stack: from probabilistic software infrastructure and algorithms to hardware and physics, enabling AI that can reason and understand its own limits. We understand that our technology is only as powerful as the people behind it. Every employee drives significant impact within our products, often working directly with customers and embedding across our tightly-knit team. Our team members are driven by curiosity and passion for solving some of the most challenging problems in the world of atoms. Normal was founded in 2022 by engineers and scientists that pioneered industry-leading Physics + ML tools for next-gen AI at Google Brain and Google X.
Open Positions at Normal Computing Corporation
6 open positions
Build the compiler frontend that brings new LLM architectures to Normal Computing’s pre-silicon AI hardware. You will extend IR, operators, lowering, quantization, and model support while validating against simulators and FPGA prototypes.
Lead the architecture and hands-on development of a hardware simulator and integrated debugging, tracing, and profiling tools for novel AI silicon. You will enable compiler and hardware teams to validate designs before silicon and correlate simulator behavior with RTL, FPGA prototypes, and eventual chips.
Build low-level firmware for Normal Computing’s AI acceleration SoCs, bridging embedded processors and higher-level software. You’ll define development environments, collaborate across hardware and software teams, and verify firmware for production.
Own the architecture and implementation of a high-performance runtime that makes Normal Computing's novel AI hardware programmable. You will build against simulators and FPGA prototypes, define cross-layer interfaces, and lead the runtime's technical direction through silicon bring-up.
Build the compiler backend that maps LLM inference onto Normal Computing’s custom in-memory AI hardware. You will own code generation, scheduling, memory planning, fusion, dispatch, and hardware co-design across simulators, FPGA prototypes, and eventual silicon.
Senior Platform Engineer responsible for owning and evolving the physical and software infrastructure that powers Normal’s distributed engineering organization. This hands-on individual contributor role spans systems administration, networking, storage, automation, security, and deployment infrastructure.