The role involves developing multi-agent frameworks and tools to accelerate the software development lifecycle for autonomous driving technology. The individual will design agentic flows to automate complex engineering tasks such as root cause analysis and triage. The position requires creating specialized agents for perception debugging to troubleshoot driving behaviors in real-world and simulation environments. Additionally, the role focuses on developing data pipelines and evaluation strategies to deploy large language models into production. The individual will collaborate with various engineering teams to understand their workflows and drive the adoption of new developer tools.

The role requires at least eight years of software development experience and expertise in building multi-agent frameworks and agentic AI systems. Candidates must possess a deep understanding of modern software development lifecycles, spec-driven development methodologies, and large language models. Proficiency in architecting large-scale software systems and experience leading technical work across interdependent teams are necessary. While not strictly required, a Master's or PhD in Computer Science or a related technical field with a focus on AI or machine learning is preferred.