Contract Student Worker (Fleet Maps Validation)

Join Zoox, a leader in autonomous technology, as a Contract Student Worker in Fleet Maps Validation. You'll work on real projects, collaborate with engineers and researchers, and gain valuable experience. Your responsibilities will include building and maintaining automated validation and gating pipelines, defining test strategies, and collaborating with downstream teams. This position offers a range of benefits, including paid parental leave, health insurance, and opportunities for remote work.

• Contribuer à la conception, au développement et à la maintenance de pipelines de validation automatisés pour les logiciels de cartographie et de cloud.
• Définir et mettre en œuvre des stratégies de test automatisées, des métriques et des portes de qualité pour la validation des composants.
• Collaborer avec les équipes en aval pour rationaliser la préparation à la publication et établir des suites de tests de régression.

• We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters
• Experience building test automation to validate Cloud Software
• 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
• Able to work on-site at one of our office locations
• Currently enrolled in a B.S. or M.S. program in a relevant discipline
• 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
• Available to commit to a minimum three-month assignment
• Able to commit a minimum of 40 hours per week
• 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
• Experience with Python or other scripting languages
• Experience working with AI engines for the efficient development (Cursor, Claude, etc)