AI Developer Productivity Engineer

• Architect and implement LLM-powered solutions using both commercial providers like AWS bedrock and open-source models like (Llama)
• Build tools that aim to improve engineer productivity by 10x through intelligent code assistance, automated code review, and context-aware documentation generation
• Develop systems to automate mundane development tasks like boilerplate generation, test creation, and code refactoring
• Create intelligent workflows that leverage LLMs for bug detection, security vulnerability assessment, and code optimization
• Bridge the divide between developers' needs and infrastructure solutions while establishing best practices for responsible AI integration in our development pipeline

This role creates positive change by developing autonomous vehicle technology that aims to provide the next generation of mobility-as-a-service in urban environments, potentially reducing traffic accidents and improving urban transportation efficiency.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field with 3+ years of industry experience
• Solid experience as a full-stack or backend developer, showcasing a deep understanding of system design, data structures, and algorithms
• Fluency in at least one of the following languages: Python or C++
• Experience with LLM evaluation metrics and performance optimization
• Knowledge of using embedding models and vector databases

No specific benefits, compensation, or salary information provided in the job description.

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market, aiming to provide the next generation of mobility-as-a-service in urban environments.