Systems & Safety Engineering Intern [Summer 2027]

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In this Role, You Will… Leverage and build AI-assisted engineering workflows to generate, maintain, and verify safety work products aligned with industry standards (e.g., ISO 26262). Decompose system-level requirements and interfaces , analyzing how failure modes propagate across complex hardware, software, and autonomous subsystems. Develop Python-based automation and data analysis scripts to extract metrics, validate system requirements, and automate safety analysis workflows. Collaborate cross-functionally with systems engineers, hardware/software designers, and validation teams to drive safety traceability and continuous improvement. Internship Requirements Currently working towards a B.S., M.S., Ph.D., or advanced degree in Systems Engineering, Computer Science, Electrical Engineering, Robotics, Mechanical Engineering, or a related discipline. Good academic standing at an accredited college or university. Expected to graduate between Fall 2027 and Summer 2028 , and enrolled at an accredited institution throughout the internship. Able to commit to a full-time, 12-week internship beginning in May/June 2027 . Ability to relocate to the Bay Area, California, for the duration of the internship. Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox. Qualifications System Design & Failure Reasoning: Basic understanding of system architecture—breaking complex systems into functions, defining interfaces, and reasoning about failure propagation (e.g., hazard analysis, FMEA, or FTA concepts). Python Automation & Data Analysis: Demonstrated proficiency in Python for data analysis, scripting, parsing requirements/test data, or building automated tools. Probability & Statistics Foundations: Solid foundation in probability and statistics to evaluate reliability, metrics, and quantitative system behavior. AI-Assisted Engineering Judgment: Hands-on experience using modern AI tools and agents (LLM assistants, prompt pipelines, coding agents) in engineering or research, with a disciplined habit of validating AI outputs against specs, standards, or empirical data. T echnical Communication & Requirements: Strong written and verbal communication skills, including comfort writing clear, structured, and testable engineering requirements. Bonus Qualifications Safety Standards & Analysis Exposure: Familiarity with automotive functional safety standards (ISO 26262, SOTIF/ISO 21448) or hazard analysis methodologies (FTA, FMEA, HARA). Advanced AI Workflows & ALM Tools: Experience designing agentic or LLM workflows beyond simple chat (e.g., document retrieval/RAG, function calling, agent frameworks) or experience with requirements management tools (Polarion, DOORS, Jama, Jira). Domain & Software Practices: Background in automotive, aerospace, or robotics systems, paired with familiarity with Git version control, SQL, and software verification practices.