Part-Time Student Worker AI & Automation: Supply Chain, Quality & Reliability

Zoox•Foster City, CA

6d•Onsite

About The Position

Zoox is launching a dedicated AI & Automation initiative within the Supply Chain, Quality & Reliability (SCQR) organization. This initiative will consist of 3-4 co-op interns working as a centralized team to partner with SCQR leaders and their teams. The goal is to identify, build, and deploy AI-driven solutions across the organization. The AI & Automation Co-op Intern will contribute to building agentic systems, RAG pipelines, and MCP integrations using real SCQR data. They will also coach the SCQR team to extend and maintain these capabilities. The pod reports directly to SCQR leadership to ensure strategic focus, executive visibility, and access across the broader management team.

Requirements

Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related discipline, and enrolled in a co-op program.
Able to commit to a minimum of a 12-week co-op term.
Demonstrated, hands-on experience building agentic AI systems: function calling, tool use, multi-step planning, and orchestration.
Hands-on experience with at least two of the following: Retrieval-Augmented Generation (RAG) (vector stores, retrieval strategies, evaluation), fine-tuning (LoRA, SFT, or similar), Model Context Protocol (MCP) server development, prompt engineering at production scale.
Fluency in Python and direct experience working with at least one LLM provider API (Anthropic, OpenAI, or similar).
Strong written and verbal communication skills, with the ability to explain technical work clearly to non-technical engineering, operations, and quality stakeholders.
A portfolio or write-up of at least one agentic system built end-to-end (open source, prior internship, or personal project).

Nice To Haves

Prior exposure to manufacturing, supply chain, supplier quality, procurement, reliability engineering, or quality management systems.
Experience shipping AI-powered tools that were used by real people beyond yourself (open source projects with users, internal tools at prior internships, side projects with adoption).
Experience with LLM evaluations, observability, guardrails, or safety tooling.
Familiarity with enterprise data platforms (e.g., Snowflake, Databricks), business systems (e.g., SAP, Oracle), or quality management systems.
Experience working in a cross-functional environment partnering with non-technical teams.

Responsibilities

Partner with SCQR leaders and team members to identify high-leverage opportunities where AI can eliminate toil, accelerate decisions, and surface insights.
Design and build AI agents, RAG pipelines, and MCP server integrations that work against Zoox's real SCQR data, including supplier scorecards, non-conformance reports, audit findings, CAPA responses, inspection records, reliability signals, infrastructure readiness data, contracts, and procurement transactions.
Ship production-ready tools that the SCQR team will adopt and use in their daily work.
Run hands-on coaching sessions, office hours, and documentation efforts to enable SCQR team members to extend, maintain, and build on shipped solutions.
Develop reusable components, patterns, and playbooks to ensure work compounds across the pod and future co-op cohorts.
Present progress, measured impact, and forward priorities to SCQR leadership on a regular cadence.