Infrastructure Software Engineer

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

Were looking for an Infrastructure Software Engineer to build the production systems behind Normals 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. Youll 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 youll 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 a new AI product capability build the orchestration layer for long-running autonomous workflows improve how workloads are scheduled and isolated across distributed environments or create the systems abstractions that let engineers turn ambitious AI prototypes into reliable production products.

Responsibilities

• Build and maintain production software infrastructure for Normals AI products especially orchestration execution and runtime systems.

• Design internal backend services and APIs used by product engineers AI engineers execution services and other internal systems.

• Improve the operational maturity of rapidly evolving systems through better state management failure handling metrics tracing and debugging tools.

• Work with Kubernetes-backed execution environments including container lifecycle scheduling behavior autoscaling resource isolation and runtime reliability.

• Build developer-facing tools and abstractions that make it easier for other engineers to use and extend the systems you own.

• Turn promising prototypes into durable production systems by designing clear abstractions hardening critical paths and creating operational patterns that scale with the product.

• Collaborate closely with product AI research and platform engineers to define the right interfaces between product features AI workloads and production infrastructure.

• Lead design discussions for core runtime and orchestration systems including API boundaries state management execution models and operational tradeoffs.

What Were Looking For

• 4 years of experience in infrastructure software backend infrastructure production infrastructure platform engineering distributed systems or related areas.

• Strong software engineering fundamentals including backend programming APIs data modeling concurrency debugging and testing.

• Experience building or operating production services where reliability observability and maintainability matter.

• Practical experience with Docker and Kubernetes including debugging containerized workloads deployments networking resource limits and lifecycle issues.

• Comfort working with persistence systems such as Postgres Redis/Valkey object storage or similar production data stores.

• Experience building orchestration systems job schedulers workflow engines sandboxes developer platforms or distributed execution systems.

• Experience designing internal APIs and developer-facing abstractions that other engineers can use confidently.

• Strong systems thinking: you can reason about state machines failure modes retries queues leases scheduling and long-running workflows.

• Pragmatism in fast-moving environments: you know when to improve an abstraction when to delete one and when to ship the simple version.

• Ownership mindset: you care whether the systems you build work in production and are usable by other engineers.

• Clear communication and good technical judgment across product AI and infrastructure boundaries.

Nice to Have

• Deep Kubernetes experience such as controllers/operators networking storage scheduling autoscaling or resource isolation.

• Experience with AI agent infrastructure ML infrastructure model orchestration or LLM-based product systems.

• Background in production infrastructure reliability engineering or infrastructure software at meaningful scale.

• Experience in high-growth startups or engineering teams where ownership boundaries are still being defined.

• Experience with Chips EDA or Device Verification

Equal Employment Opportunity Statement

Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability veteran status or any other legally protected status.

Accessibility Accommodations

Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability please let us know at

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IC