AI Developer Productivity Engineer

Zoox is developing state-of-the-art autonomous vehicle software for our purpose-built vehicle. We believe that developing the end-to-end product will get us to market faster and result in a superior customer experience. The Developer Experience team at Zoox is dedicated to improving the process of developing autonomy software, services, and applications. We define and enforce the best practices for engineering across the company. Our approach involves using established programming languages, and tools and, when necessary, developing our own. We're leveraging Large Language Models (LLMs) to improve development velocity and streamline engineering workflows. We're looking for an engineer with firsthand experience as a full-stack developer, who knows the engineering challenges at scale and feels comfortable designing and implementing solutions to address them. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. In this role, you will: 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 Qualifications 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 Bonus Qualifications Experience working with IDEs and LSPs Experience developing and/or integrating debuggers with build systems Experience managing and optimizing large monolithic repositories, including build systems, version control workflows, and developer tooling

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