Optimus Integration Engineer

What to Expect

In this role, you will bridge factory manufacturing teams and the AI/Robotics organization. You will identify high-ROI tasks for Optimus, drive deployment readiness, collect data to improve AI models and integrate Optimus into existing factory systems.

What You’ll Do

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

• Own end-to-end project management for Optimus deployment initiatives including task identification, prioritization and execution tracking

• Create and iterate manufacturing station layouts, material flow and 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, needs and feedback into actionable requirements for AI and Robotics teams

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

• Design and build dashboards for factory data, robot performance and deployment progress

What You’ll Bring

• Bachelor's Degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Mechatronics, computer science or equivalent experience

• 5+ years of experience in manufacturing, industrial engineering, factory automation or 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, Power BI or custom tools)

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

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