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
Own and evolve Normal’s production terminal interface for AI-assisted semiconductor verification, turning a research tool into a reliable, cross-platform product. You will shape the interaction model, local session client, and event-driven architecture used by engineers across challenging terminal environments.
Build the backend runtimes and distributed systems that let AI agents execute long-running work reliably. You’ll own orchestration, APIs, state management, Kubernetes-backed execution environments, and production observability.
Build the application infrastructure behind Normal Computing’s AI products, including orchestration, execution runtimes, internal APIs, and reliability systems. You’ll help turn ambitious AI prototypes into dependable production workflows used across product, research, AI, and platform teams.
Embed with enterprise semiconductor customers to adapt Normal EDA and own the ML systems that operate within their engineering environments. You’ll bridge customer workflows, production AI, and Normal’s core research and platform teams.
Build polished frontend experiences and AI-powered workflows that make semiconductor verification more approachable in Normal EDA. You’ll connect LLMs, backend services, APIs, and interactive UIs while partnering closely with designers, researchers, hardware experts, and users.
Build production AI systems that understand complex technical documents and turn them into code for semiconductor and critical AI infrastructure applications. You’ll work hands-on with LLMs, agentic workflows, reinforcement learning, and reliable large-scale deployment.