Process Vision Engineer, Battery Pack (m/f/d) - Gigafactory Berlin-Brandenburg

Overview

Tesla is seeking a self-motivated Vision Process Engineer to ensure continuous production quality and enable world-class manufacturing of Tesla’s cutting-edge battery packs. The Battery Pack provides energy storage for every Tesla vehicle. This is an exciting opportunity to develop world-class process standards for Tesla’s next-generation battery packs. Tesla is a demanding and fast-paced environment where you will work on a critical subsystem in world-changing products. The Battery Vision Process Engineer will also work with cross-functional teams to aggressively ramp newly launched products to full-scale production and beyond. The Battery Process Engineer’s primary responsibilities are: Eliminate waste in the manufacturing system, identify trends and signals in process data, create game plans and maintenance work orders in response to these trends, and drive long-term line improvements to yield cycle time, and process capability.

What You\'ll Do

• Drive commissioning and ramp of manufacturing equipment systems, in custom high-speed automated manufacturing equipment, and qualify them using statistically valid data sets and workflows.
• Work collaboratively as the equipment expert to ensure production lines run safely, efficiently, and produce high-quality parts.
• Become the owner/subject matter expert to drive equipment-related process improvements, including detailed troubleshooting and root cause analysis.
• Drive manufacturing ramp by characterizing baseline performance and improving equipment with laser weld systems; ensure manufacturing lines meet OEE goals.
• Review critical process metrics daily for statistical shifts from nominal and develop action plans to address issues.
• Identify and/or develop critical process monitors and metrics for battery module and pack manufacturing to diagnose issues, efficiently identify root causes, and implement both reactive and proactive solutions.
• Guide and develop roadmaps for aggressive improvement to OEE metrics: Yield, Cycle Time, Availability, and Cost. Report metrics to upper management.
• Troubleshoot and recover processes using PLC, HMI, or tool management software, and implement changes or improvements.
• Build training materials, maintenance routines, and related documentation for equipment life cycle management.
• Lead safety and ergonomic improvements to production equipment that meet or exceed regulations and best practices.
• Identify equipment critical spare parts and ensure sufficient coverage to prevent extended downtime.
• Provide direction and mentorship to third-party machine/automation suppliers and internal machine building teams; participate in supplier/internal equipment FAT and SAT.
• Develop and manage FMEA/risk assessments to prioritize equipment improvement projects and ensure effective repair strategies.
• Manage workload with a positive attitude as a team player in a collaborative work environment.
• Drive continuous improvement and support activities for engineering and manufacturing, including 5S, Lean manufacturing activities, material handling improvements, production line configuration, and safety procedures.
• Develop and deploy 2D/3D vision and measurement systems from proof-of-concept to deployment on high-volume battery manufacturing lines
• Lead proof-of-concept and prototype validation for new vision technologies (Keyence, Cognex, Halcon, OpenCV, etc.)
• Establish standard methods, libraries, and best practices for machine vision applications across factories
• Occasional domestic and international travel to Tesla factories and supplier sites

What You\'ll Bring

• 3+ years of experience in automation, machine vision, or metrology
• Hands-on experience developing and validating 2D/3D vision applications (Cognex, Keyence, Halcon, OpenCV, etc.)
• Demonstrated experience in the development and implementation of high-volume 2D and 3D machine vision (Keyence, Cognex, Halcon, other) – application design, programming, validation, and troubleshooting
• Demonstrated experience in ramping high-volume, automated, and semi-automated manufacturing lines, with creative capacity for developing new, faster, and cost-effective production methods.
• Strong understanding of engineering fundamentals and the ability to apply them toward manufacturing process development.
• Ability to derive data-supported root causes and propose strong countermeasures using statistical tools (e.g., Minitab) and SQL for data extraction.
• Structured thinking and exceptional problem-solving skills, proven through root cause analysis and process improvement projects.
• 3D CAD design experience (SolidWorks, CATIA, AutoCAD) for production equipment, including creating/validating layouts, tooling drawings, pneumatic, and electrical schematics.
• Hands-on experience with mechanical/electrical work on production lines and capability to maintain process and equipment documentation (e.g., spare parts lists, PM plans, control plans, PFMEAs).
• Familiarity with manufacturing systems like Ignition Automation, two-part adhesives, fastener rundown traces (Atlas-Copco), and vision inspection systems (e.g., Keyence 2D image inspection and profilometry).
• Fanuc robot programming (nice to have).
• Availability for domestic and international travel as required.
• Passion for making high-quality products with a continuous improvement mindset and a capacity for managing simultaneous activities and competing priorities.
• Knowledge and understanding of battery module technology (a plus).
• Experience with one or more additional measurement and inspection technologies: (profilometry, laser measurement, optical scanning, optical metrology, ultrasonic measurement, X-ray, other)