Engineering Vision Technician, Cell Tabless

Tesla is seeking a highly motivated technician who thrives in a fast-paced environment to support computer vision and inspection deployments for Tabless Cell Manufacturing Operations winding and welding.

The Vision Systems Technician is a key member of the Technical Operations Team supporting Process Development Engineers and Software Machine Learning Engineers in deploying and maintaining vision systems, cameras, profilometers, displacement sensors, detection sensors, edge computing devices that inspect the quality of manufactured cells. While system design and code will generally come from engineers, getting the systems to work-testing, fixing, and deploying them-is the role of the technician. This includes image collection and validation of machine learning and pattern recognition models. Over time, you will learn to debug, troubleshoot, and program machine vision systems with increasing independence.

Tesla provides comprehensive training on all software and processes required to perform the role-no prior experience with machine vision or software engineering is needed, although a willingness to learn is crucial.

Key Responsibilities:

• Install, calibrate, test, and maintain line-side vision systems, cameras, hardware, and software while performing preventative maintenance and inspections to ensure reliability.
• Diagnose and resolve vision system failures using data-driven root cause analysis, implement corrective actions, and restore functionality during production engineering builds.
• Monitor system alerts, quality metrics, and yield dashboards to identify outliers, document findings, and communicate failure patterns to engineering and quality teams.
• Support vision system development and optimization by collaborating with cross-functional teams, configuring hardware, sensors, and preparing image data for machine learning models.
• Develop, document, and enforce standardized procedures for installations, maintenance, troubleshooting, and quality validation to ensure consistency and compliance.
• Perform in-process and post-process inspections and manual tasks, e.g., bracket installation, while adhering to safety protocols, maintaining workspace organization, and supporting continuous improvement initiatives.
• Assist with equipment trials, engineering builds, and project support to enhance safety, quality, yield, and equipment uptime across production workflows.

Requirements:

• 1 year of experience working in an industrial or technical manufacturing environment.
• Experience with computer vision systems, industrial cameras, or machine vision software.
• Familiarity with MVTec HALCON, Cognex, and/or Keyence vision systems.
• Experience with image processing, data labeling, or quality inspection systems.
• Programming experience with Python, SQL, or similar languages.
• Demonstrated troubleshooting and diagnostic skills in technical or industrial settings and experience collaborating with engineering teams on process improvements or system optimization projects.
• Strong command of the English language, both written and verbal.