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# Sr. Optimus Integration Engineer

- **Company:** Tesla Motors
- **Location:** Fremont, CA, United States
- **Experience:** Expert
- **Salary:** $96,800.0 - $217,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Machine Learning, Oracle (Applications), SAP (Applications), Tableau (Software), Build Tools
- **Published:** July 15, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17588378?backUrl=%2Fcareer%2F17588378%2FSr-Optimus-Integration-Engineer-California-Fremont

## About the Role

* Bachelor's Degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Mechatronics, computerscienceor equivalent experience

 * 5+ years of experience inmanufacturing, industrial engineering, factoryautomationor technical program roles (robotics or advanced manufacturing preferred)

 * Project management skills with ability to drive cross-functional initiatives from concept to execution

 * Experience creating manufacturing station layouts, process flows and material flow designs

 * Ability to collect, clean and visualize large datasets and build dashboards (Tableau, PowerBIor custom tools)

 * Stakeholder management skills with ability to influence factory leadership and central AI/engineering teams

 * Experience with ERP systems (SAP, Oracle or similar)

## Description

In this role, you will bridge factory manufacturing teams and the AI/Robotics organization. You willidentifyhigh-ROI tasks for Optimus, drive deployment readiness, collect data to improve AImodelsand integrate Optimus into existing factory systems.
What You'll Do

 * Partner with stakeholders across Tesla factories to collect manufacturing process data,identifyhigh-ROI tasks and define Optimus deployment opportunities

 * Own end-to-end project management for Optimus deployment initiatives including task identification,prioritizationand execution tracking

 * Create and iterate manufacturing station layouts, materialflowand infrastructure for Optimus integration into production lines and warehouses

 * Lead data collection initiatives that feed AI model training and robot capability improvement

 * Drive leadership alignment on AI, data collection and deployment priorities and translate factory constraints,needsand feedback into actionable requirements for AI and Robotics teams

 * Build tools and systems that improve collaboration between factory teams and AI/Robotics teams


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