Contract Student Worker - Fleet Maps Validation (FT 40 hrs/week)

Role Overview The Automated Validation & Gating Pipeline Engineer will focus on building, maintaining, and scaling robust automated validation and gating pipelines for off-board software, maps, and framework components across our autonomous driving platforms. Responsibilities Design, develop, and maintain continuous automated validation and release gating pipelines for off-board mapping and cloud software components. Define and implement automated test strategies, metrics, and quality gates for component-level and framework-level validation. Triage build or pipeline failures, establish regression test suites, and collaborate with downstream teams (e.g., SIV) to streamline release readiness. Strong analytical skills with the capability to analyze large sets of data. Experience designing triage logic and processes, as well as highlighting and reporting key issues. Required Qualifications Strong software engineering background with proficiency in Python. Preferable Hands-on experience building CI/CD pipelines, test automation frameworks, and automated gating for cloud/off-board software systems. Experience building test automation to validate Cloud Software Bonus Qualifications Experience with Python or other scripting languages Experience working with AI engines for the efficient development (Cursor, Claude, etc) Program Requirements Currently enrolled in a B.S. or M.S. program in a relevant discipline. Available to commit to a minimum three-month assignment. Able to commit a minimum of 40 hours per week. Able to work on-site at one of our office locations. Must adhere with Zoox confidentiality requirements, including refraining from using or sharing proprietary company information outside of Zoox, such as in academic research, theses, publications, or presentations. 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.