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# Process Engineer, Data Collection, Optimus

- **Company:** Tesla Motors
- **Location:** Palo Alto, CA, United States
- **Experience:** Experienced
- **Salary:** $84,000.0 - $156,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, 3d Models, Computer-Aided Design, AutoCAD, Business Analytics Applications, Data Analysis, Computer Aided Three-Dimensional Interactive Application (CATIA), SQL Databases
- **Published:** October 7, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/87677398/1

## About the Role

* 2+ years of experience with CAD, continuous improvement methodologies, or additive manufacturing

 * Experience analyzing data using Excel, SQL, or similar analytical tools

 * Proficiencyin AutoCAD or CATIA, with the ability to quickly integrate changes into designs ahead of mass production

 * Strong cross-functional collaboration skills and a proven ability to work through complex problem-solving

 * Demonstrated experienceidentifyingroot causes of problems and implementing effective solutions

 * Previousexperience working in engineering or manufacturing environments

## Description

As aData Collection Hardware Process Engineer, you will collaborate on the design, implementation, and continuous improvement of internal data collection tools and processes. You will design and implement equipment improvements and workstation layouts while working closely with operations teams through a continuous feedback loop. By constantly evaluating and refining our data collection devices and workflows, you will help streamline operations and push the boundaries of robotics data collection. Commitment to excellence is a core team value.
What You'll Do

 * Collaborate with cross-functional teams-including Mechanical Engineering, Electrical Engineering, Packaging Engineering, Logistics, Production Planning, and Software-to design and improve all aspects of our operations

 * Analyze data from multiple sources toidentifyand drive improvements to data collection hardware

 * Partner with engineers to design and refine CAD models in preparation for production

 * Define equipment requirements based on established processes

 * Develop and implement SOPs for prototype data collection units

 * Learn andleveragevarious service and fleet tracking tools tomonitorfleet status and drive retrofit initiatives