InfrastructureSoftwareEngineer

Normal Computing | Incredible Opportunities The Normal Team builds foundational software and hardware that help move technology forward, supporting the semiconductor industry, critical AI infrastructure, and the broader systems that power our world. We work as one team across New York, San Francisco, Copenhagen, and London. YOUR ROLE IN OUR MISSION We’re looking for an Infrastructure Software Engineer to build the production systems behind Normal’s AI products. This is an application engineering role focused on infrastructure-shaped software: orchestration services, execution runtimes, internal APIs, persistence layers, observability, and developer experience. You’ll help define the runtime layer for a new class of AI products: systems where agents execute long-running work, coordinate across distributed environments, interact with code and tools, and need to be reliable enough for real customer workflows. This role sits between product engineering, AI engineering, and platform engineering. You will not primarily be managing Terraform, Helm charts, CI/CD, or company-wide SaaS infrastructure. Instead, you’ll own the application-level infrastructure that powers long-running AI workflows: session lifecycle, sandboxed execution, workload orchestration, persistence, observability, reliability, and the internal interfaces other engineers build on. The systems you build will be used directly by product, AI, research, and platform teams as new capabilities move from early ideas into production. Developer experience matters: APIs should be understandable, failure modes should be debuggable, and abstractions should make the right thing easy. This is a highly cross-functional role for someone who enjoys ambiguity, cares about clean abstractions, and wants to help shape how a frontier AI company builds and operates production systems. Strong engineering judgment and ownership matter more than rigid specialization. On any given day, you might design the runtime architecture for