Infrastructure Engineer

About the role Join a fast-scaling startup building the world's first autonomous chip-design platform, already working with a leading frontier-model lab. Build and scale the internal infrastructure that enables AI agents to run complex digital-design, FPGA and EDA workflows using Python, Docker and virtual machines. Develop reliable, isolated environments for executing, monitoring and debugging demanding engineering workloads. Bridge traditional semiconductor tooling with modern AI infrastructure in a fast-moving startup environment. Support post-training workflows spanning data selection, filtering, evaluation environments and agent benchmarks. Key requirements Strong infrastructure fundamentals, including Python, Docker, containerisation and virtual machines. Experience building internal platforms, developer infrastructure or tooling for complex engineering teams. Familiarity with AI coding agents and tools such as Claude Code or Cursor. An understanding of AI/ML systems; exposure to reinforcement learning or post-training workflows would be valuable. A pragmatic, adaptable mindset and willingness to take ownership across multiple areas in an early-stage environment.