Job description

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. In this role, you will: Architect and implement LLM-powered solutions using frontier models like Claude, Gemini, GPT. Build tools that leverage AI and improve engineer productivity by 10x through intelligent code assistance, automated code review, and improving zoox’s operational efficiency. 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 7+ 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 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 accommodations@zoox.com 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.

Requirements

Must-haves

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.
Architect and implement LLM-powered solutions using frontier models like Claude, Gemini, GPT.
Build tools that leverage AI and improve engineer productivity by 10x through intelligent code assistance, automated code review, and improving zoox’s operational efficiency.
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.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field with 7+ 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
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

Nice-to-haves

Bonus Qualifications

Application prep

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Keywords to mirror

llmaipythonmachine learning

Platform: lever
Effort: quick