We are looking for a software engineer with strong backend skills, a product mindset, and the curiosity to bring LLM-powered agents into the toolchains and Linux environments where chips are actually designed. Success in this role means owning the agentic infrastructure end-to-end: from the platform our agents run on, to the integrations that let them safely act inside our customers' existing flows.DescriptionYou will join a growing team of ML and software engineers building GenAI solutions for chip design teams. In this role, you will:
Architect, build, and operate the agentic infrastructure our team relies on:including LLM orchestration, tool-calling layers, multi-agent workflows, and the services that host them.
Design and implement software solutions for chip design engineers, translating their workflows into reliable, automated agent-driven systems.
Integrate our agents and services with existing Linux-based environments, in-house tools developed by the team, and third-party EDA tools.
Manage agentic and ML workflows in production to ensure performance, high availability, and resource efficiency.
Deploy and maintain production services, with proactive monitoring to catch quality and infrastructure regressions before they reach users.
Build automated evaluation frameworks to measure retrieval quality, agent execution, and LLM output accuracy across releases.
Partner with CAD teams to integrate pipelines and agents into CI/CD, ensuring reliable deployments and safe rollbacks.
Implement access controls, authentication, and secret-handling practices appropriate for working with sensitive design data.
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