Zoox

Fully electric autonomous ride-hailing service platform

Hardware Engineer Intern - Manufacturing Operations

Manufacturing EngineeringConfirmed live in the last 24 hours

Internship · Summer 2027Foster City, CA, USA

About the Job

Requirements

Currently working toward a Bachelor of Science, Master of Science, or advanced degree in a relevant engineering program, such as mechanical, computer, electrical, industrial, manufacturing, or systems engineering.
Maintain good academic standing.
Expected to graduate between Fall 2027 and Summer 2028 and remain enrolled at an accredited college or university throughout the internship.
Commit to a full-time, 12-week internship beginning in May or June 2027.
Relocate to the Bay Area, California, for the duration of the internship.
Do not use proprietary information worked on during the internship in a thesis or published university work, or distribute it outside Zoox.
Have a foundational understanding of process optimization, including build sequencing, task time analysis, and line layout.
Be able to assist in developing and documenting work instructions and procedures.
Have scripting or automation skills in Python or a similar language.
Be comfortable working on a production floor.

Responsibilities

Assist with manufacturing processes such as line balancing, setting up stations, and supporting manufacturing systems issues on the floor.
Develop test automation and diagnostic tools supporting vehicle production, including end-of-line testers, sensor pods, and PCU test equipment.
Optimize warehouse operations, inventory accuracy, and packaging to ensure on-time line-side delivery, protect products, and minimize cost.
Develop automated CNC part programming with mechanical prototype and fabrication teams.
Industrialize new hardware designs for production, optimize manufacturing and warehouse processes, and assist with line-balancing station setup and manufacturing operations on the floor.
Act as a TPM-in-training on programs for manufacturing teams or operational excellence, and build AI analytics and tools for Manufacturing Operations.
Work on data governance for manufacturing data.
Develop test automation, diagnostics, or analysis tools for vehicle production.
Improve manufacturing, assembly, or logistics processes using data.
Work hands-on with production hardware alongside cross-functional engineers.
Present findings and recommendations to manufacturing and engineering stakeholders.

Desired Qualifications

Previous experience in the automotive industry or a manufacturing or prototyping environment.
Experience with MES, SAP, or ERP systems, or with CAD and CNC programming.
Experience with data analysis in Python, SQL, or Databricks.

About Our Internship Program
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
Manufacturing Operations builds Zoox vehicles at production scale. Interns work on the tools, processes and systems that move the vehicle from prototype to production, alongside engineers on the floor.Interns in this pipeline may be considered for opportunities across a range of teams, including:

Manufacturing Engineering: Assists with manufacturing processes such as line balancing, sets up stations, and supports manufacturing systems issues on the floor.
Test & Diagnostics: Develops test automation and diagnostic tools that support vehicle production, such as end-of-line testers, sensor pods, and PCU test equipment.
Logistics: Optimizes warehouse operations, inventory accuracy, and packaging that ensures on-time line-side delivery and protects product while minimizing cost.
Prototyping: Develops automated CNC part programming with the mechanical prototype and fabrication teams.
Advanced Hardware Manufacturing: Industrializes new hardware designs for production, optimizes manufacturing and warehouse processes, and assists in line-balancing station set-up and manufacturing operations on the floor.
Technical Program Management & Manufacturing Intelligence: Acts as a TPM-in-training on programs for manufacturing teams or operational excellence, and builds AI analytics and tools for Manufacturing Operations.
Data Governance: Works on data governance for manufacturing data.

In this Role, You Could Potentially Work On...

Developing test automation, diagnostics or analysis tools for vehicle production
Improving a manufacturing, assembly or logistics process using data
Hands-on with production hardware alongside cross-functional engineers
Presenting findings and recommendations to manufacturing and engineering stakeholders

Requirements

Currently working towards a B.S., M.S., or advanced degree in a relevant engineering program (mechanical, computer, electrical, industrial, manufacturing or systems engineering)
Good academic standing
Expected to graduate between Fall 2027 and Summer 2028, and enrolled at an accredited college or university 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

Foundational understanding of process optimization, such as build sequencing, task time analysis and line layout
Ability to assist in developing and documenting work instructions and procedures
Scripting or automation skills in Python or a similar language
Strong analytical and critical thinking skills
Strong organization and communication skills, and comfort working on a production floor

Bonus Qualifications

Previous experience in the automotive industry or a manufacturing or prototyping environment
Experience with MES, SAP or ERP systems, or with CAD and CNC programming
Experience with data analysis in Python, SQL or Databricks

Compensation
The monthly salary range for this position is $6,500 to $8,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance and a relocation stipend.

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.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [email protected] 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.

About the Company

Zoox

Fully electric autonomous ride-hailing service platform

Zoox designs and operates an autonomous ride-hailing service built around a purpose-built, fully electric vehicle designed specifically for autonomous operation. The vehicle uses advanced sensors, cameras, and AI to navigate complex urban environments, offering a four-passenger interior for comfort. Unlike competitors that retrofit existing cars, Zoox engineers both the vehicle and the service from the ground up, enabling optimized safety, efficiency, and passenger experience through integrated software that optimizes routing and reduces wait times. The company emphasizes safety through extensive testing and regulatory collaboration, and sustainability via electric mobility. The ultimate goal is to provide a smarter, safer, and more efficient urban transportation system that improves city life while reducing emissions.

Company size: 5,001-10,000
Company stage: Acquired
Total funding: $1.2B
Headquarters: Menlo Park, CA
Founded: 2014

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