Process Improvement Intern [2027]
Zoox is hiring a Process Improvement Intern [2027] in Foster City, United States. Level rates it ; you can apply on Zoox.
Level's read on this job
- Level rates this role Little AI ββββ: aI is not part of the work.
- Level classifies it as an internship.
- Level lists 238 other open roles at Zoox.
- The role was posted in the last few days.
AI in this role
Zoox's internship program offers hands-on experience with cutting-edge technology, mentorship from some of the industry's brightest minds, and the opportunity to make meaningful contributions to real projects. We seek interns who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox's mission. Job Description The Process Improvement team in Fleet Operations ensures that Zooxβs readiness and response processes scale seamlessly as our fleet expands across cities. In this role, you will work side-by-side with ground operations and frontline teams at our depots to examine current workflows, identify bottlenecks, and design standardized, repeatable operational procedures. This role is ideal for an analytical, hands-on problem solver eager to turn complex physical operations into lean, scalable processes that ensure vehicle availability and mission safety.
In this Role, You Willβ¦
- Benchmark Ground Operations: Shadow frontline depot teams to map readiness and response workflows, identify time-loss and operational pain points, and document best practices that can be standardized across domiciles.
- Build Domicile Launch Playbooks: Stress-test operational processes and handoffs at 2x and 3x fleet scale, pinpointing vulnerable failure points and designing scalable operating mechanisms.
- Audit and Establish Operational Metrics: Audit existing turnaround and fleet health metrics and define new performance indicators that reflect true operational efficiency.
- Develop Scorecards and Dashboards: Build a standardized domicile scorecard and weekly executive dashboard to provide visibility into depot performance, bottlenecks, and emerging operational risks.
- Drive Initiatives End-to-End: Formulate data-backed recommendations with quantified impact, aligning stakeholders from frontline teams to leadership to execute sustainable process improvements.
Internship Requirements
- Currently working towards a Masterβs, MBA, or Bachelorβs degree in Industrial Engineering, Operations Research, Supply Chain, Mechanical Engineering, or a related discipline.
- Good academic standing and enrolled at an accredited college or university throughout the internship.
- Expected graduation date between Fall 2027 and Summer 2028.
- Able to commit to a full-time, 12-week internship.
- Ability to work on-site and travel locally to depot facilities in the San Francisco Bay Area.
- Interns at Zoox may not use proprietary information for thesis or publication outside of Zoox.
Technical Qualifications
- Strong analytical and problem-solving skills, with demonstrable ability to break down operational workflows and identify root causes.
- Foundational understanding of process mapping, standard operating procedures (SOPs), and lean continuous improvement methods.
- High comfort level working hands-on with frontline ground teams in active depot environments.
- Proficiency in data analytics and visualization (Excel, Sheets, or dashboarding tools).
- Clear communication and stakeholder management skills to earn trust and influence across teams.
Bonus Qualifications
- Prior internship or hands-on experience in automotive maintenance, fleet operations, or logistics environments.
- Experience with project management tools such as Jira, Confluence, or similar workflow platforms.
- Experience applying root cause analysis frameworks (e.g., 5-Whys, Fishbone diagrams, DMAIC).
How we rate this
Process Improvement Intern [2027] at Zoox rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ββββ Builds AI80 to 100
- ββββ Works on AI60 to 79
- ββββ Uses AI40 to 59
- ββββ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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