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Field Quality Engineer

Brandenburg, Germany (On-site)

Field Quality Engineer

2 Days ago • All levels • Manufacturing • Undisclosed

About the job

3 skills required for this role

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python

sql

communication

Job Description

The Field Quality Engineer at Tesla's Gigafactory Berlin-Brandenburg will be responsible for improving customer experience by reducing field issues. This involves identifying, analyzing, and root-causing issues affecting vehicle sub-assemblies and systems. The role requires collaboration with engineering teams, service centers, and regional support to implement countermeasures and improve product quality, reliability, and durability. Responsibilities include monitoring field performance, prioritizing issues, applying technical knowledge for corrective actions, communicating with stakeholders, and participating in design reviews and process optimization. A strong understanding of Tesla vehicle platforms, manufacturing processes, and failure analysis is essential.

Must have:

Bachelor's/Master's in Engineering
Hands-on experience in Quality/Service/Failure Analysis
Strong technical background across various disciplines
Excellent communication and problem-solving skills
Data analysis and interpretation using tools and applications
Proficiency in English (B2 level or higher)

Good to have:

Experience in automotive/electronics
Python and SQL skills

What to Expect

The Field Quality Engineering team’s mission is to improve customer experience of Tesla products by reducing field issues in collaboration with other engineering teams.

The Field Quality Team has a special role supporting Giga Berlin and making sure main customer concerns are known and addressed.

We are seeking a multi-faceted Engineer who will be responsible for all aspects of identifying, analyzing, root causing, implementation of countermeasures, and reporting on issues affecting any vehicle sub-assemblies and systems from exterior body fitment to electronics failures.

To be effective, the Field Quality Engineer will need to be familiar with the detailed behavior and customer impact of all Tesla vehicle platforms and the tools and equipment used in their design and manufacture. They will work with other engineering teams to quickly mitigate and implement countermeasures of field issues to improve quality, reliability and durability of the products.

What You’ll Do

Monitor product field performance, identify trending issues. Prioritize based on severity, occurrence and/or cost of each failure mode for all platforms and factories but specifically for Berlin products
Engage and connect with service centers and regional support structures in order to identify failures based on geographical region, climate, customer population, etc. to evaluate customer impact regionally.
Apply technical engineering knowledge to drive containment and corrective action implementation into NPI/ production / design / supplier / firmware.
Communicate field performance of the engineering system, gather buy-in from engineering peers and leadership on improvement priorities and urgency.
Share Lessons Learned from previous field issues; Provide upfront feedback by participating in design reviews to ensure product performance, reliability, and manufacturability issues are identified and risks mitigated. (DFMEAs)
Take part in ongoing optimization and regionalization of new and improved products and processes (performance, cost, technology).

What You’ll Bring

Bachelor’s or Master’s degree in any engineering disciplines; alternatively automotive/electrical/mechanical experience on a high level
Prior applicable hands-on experience desired; preferably in a practical role such as Failure Analysis / Quality / Service in electronics and/or automotive
Broad technical background with the ability to work with engineering, manufacturing, service, and suppliers across a wide variety of issues.
Strong interpersonal and communication skills are an absolute requirement to establish effective working relationships within Tesla and outside.
Exceptional problem solving and Failure Analysis, strong attention to detail and analytical thinking.
Ability to use tools and business system applications to manage, synthesize, and interpret data.
Python and SQL a plus
English language skills B2 and higher to confidently work in a professional environment.

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