20 beste Stellen als manufacturing engineer in brandenburg – aktuell auf Personalsuche

Tesla’s Vision Automation Team seeks a highly motivated Quality Vision Technician to support computer vision and edge computing systems deployed across high-volume production lines at Gigafactory Berlin-Brandenburg. This role focuses on vehicle quality inspections using camera vision in a dynamic manufacturing environment. The ideal candidate is passionate about industrial systems, cameras, and real-world problem-solving, with a drive to be on the front line of some of the most advanced production facilities in the world.

You will be responsible for maintaining and optimizing 200+ vision inspections deployed across production lines — ensuring key metrics like precision, inspection rate, and uptime. You will work on troubleshooting failures, validating model performance, and providing direct feedback to engineers during iterative improvements. You’ll be the second responder during critical failures, ensuring rapid recovery and minimal downtime. This is not a 24-hour on-call role, but occasional after-hours support may be required for rare, high-impact system outages.

Tesla provides comprehensive training on all software and tools — no prior experience with machine learning or software engineering is required. However, a strong willingness to learn, technical curiosity, and hands-on aptitude are essential.

What You'll Do

Monitor and maintain 200+ vision inspection systems across production lines, ensuring precision, inspection rate, and uptime consistently meet or exceed targets
Diagnose and resolve system failures promptly using alerts, logs, and real-time data — minimizing downtime and supporting production continuity
Perform hands-on installation, calibration, and maintenance of vision hardware, including smart cameras, edge computers, sensors, cabling, and mounting brackets
Conduct wiring, network configuration, and power setup for vision equipment in industrial environments, following factory standards and safety protocols
Collect, label, and validate real-world image data to support machine learning model training and validation
Use internal tools to analyze model predictions vs. truth, identifying misclassifications and providing feedback to engineers
Collaborate with engineering and quality teams to optimize hardware placement, system configuration, and inspection workflows
Perform routine maintenance on line-side PCs and edge devices, including software updates, disk management, and system diagnostics
Document issues, failure patterns, and system behavior clearly in JIRA and Confluence to support root cause analysis and continuous improvement
Communicate system downtime, failure windows, and recovery status to quality and production teams with accuracy and timeliness
Support system upgrades, deployments, and pilot programs across multiple production lines.

What You'll Bring

(Preferred) 1+ year of hands-on experience in an industrial, technical, or manufacturing environment — especially with electronics, cameras, or automation systems
Solid computer skills including experience with file systems, network troubleshooting, and operating systems (Windows/Linux) in industrial settings
Basic understanding of electrical safety, industrial protocols, and working with hand tools (wrenches, screwdrivers, cable cutters)
Ability to read and interpret basic schematics, wiring diagrams, and installation guides
Strong attention to detail, analytical mindset, and ability to work independently in a fast-paced, high-pressure environment
Proven ability to multi-task, prioritize urgent issues, and adapt to changing production demands
Excellent written communication skills with a commitment to clear, accurate documentation
Willingness to learn new technologies, tools, and processes — especially around edge computing, image data, and model validation
Fluent in English; German language proficiency is desirable but not required
Comfortable working at height, in confined spaces, and around moving machinery — with adherence to all safety protocols
Candidates are expected to uphold and actively promote sustainability principles in their daily work, operating in line with Tesla Global Environmental, Health, Safety & Security (EHS&S) Policy and EMAS requirements, fostering a culture of continuous environmental improvement.

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

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