Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.
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.
Compensation
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $185,000 to $303,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
Equal Opportunity Employer
Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, or national origin.
In this role, you will:
Architecting and implementing 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 generationDevelop systems to automate mundane development tasks like boilerplate generation, test creation, and code refactoringCreate intelligent workflows that leverage LLMs for bug detection, security vulnerability assessment, and code optimizationBridge the divide between developers' needs and infrastructure solutions while establishing best practices for responsible AI integration in our development pipelineQualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field with 5+ 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 optimizationKnowledge of using embedding models and vector databasesBonus Qualifications:
Experience working with IDEs and LSPsExperience developing and/or integrating debuggers with build systemsExperience managing and optimizing large monolithic repositories, including build systems, version control workflows, and developer tooling