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Engineering Technician, Tilburg

Tesla

Engineering Technician, Tilburg

Tesla

Tilburg, Noord-brabant

·

On-site

·

Full-time

·

Today

What to Expect

The Engineering Technician is responsible for supporting in Developing, implementing, and optimizing remanufacturing processes for Tesla parts and systems (including batteries, drivetrains, and power conversion units) around the world. 

Interact with engineers from our design, manufacturing, test, and quality teams, as well as our production staff to improve field failure diagnostics and remanufacturing efficiency. Monitor equipment trends and carry out trial experiments for new products and processes. Utilize experimental data, models and statistical methods to quickly support engineers with analysing complicated problems and large data sets. Support with the implementation of KPIs to track progress in key areas, such as safety, throughput, quality, and labour efficiency. 

The goal is to minimize refurbishment, manufacturing, and warranty costs, by optimizing quality, failure analysis, and manufacturing processes. 

What You'll Do

  • Failure Analysis & Root Cause Investigation: Conduct detailed failure analysis on returned parts (cells, PCBAs, SW/FW) to identify root causes and drive corrective actions
  • Data-Driven Insights: Analyze vehicle logs, service databases, repair orders, and production data to inform quality improvements and process optimizations
  • Process Development & Documentation: Collaborate globally to design, document, and refine remanufacturing workflows (flowcharts, work instructions) and maintain accurate records
  • KPI Monitoring & Continuous Improvement: Track and improve KPIs for production efficiency, quality, safety, and cost; support trials for process validation and safety initiatives
  • New Part Introduction Support: Facilitate NPI activities, including action item follow-up and manufacturing trials to ensure functionality, quality, and safety compliance
  • Workplace Safety & Organization: Maintain 5S practices, ensure orderly workspaces, and uphold safety protocols while addressing production-critical discrepancies

What You'll Bring

  • Education/Experience: High school diploma (technical field) or equivalent. 1+ years in manufacturing problem-solving, with experience in data analysis (Python/SQL preferred) and electro-mechanical assembly (e.g., motors, batteries)
  • Technical Skills: Ability to interpret electrical diagrams/mechanical drawings, use hand tools, and familiarity with semi-automated manufacturing systems. Automotive powertrain/EV component experience (e.g., batteries, AC/DC systems) is a plus
  • Physical Requirements: Capable of lifting 23 kg, using precision tools, and performing hands-on assembly/testing
  • Analytical Focus: Experience analyzing large datasets, troubleshooting production issues, and optimizing processes through data-driven insights
  • Soft Skills: Strong communication, teamwork, adaptability, and ability to manage multiple tasks in a fast-paced, cross-functional environment
  • Industry Fit: Ideal for candidates with automotive/EV manufacturing backgrounds, emphasizing quality control, diagnostics, and process improvement
  • Eligibility to work in the Netherlands (EU citizenship or valid work permit) is required

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About Tesla

Tesla

Tesla

Public

A financial leasing taxi company that provides vehicles to customers

140,000+

Employees

Ciudad De Panamá

Headquarters

$800B

Valuation

Reviews

3.1

5 reviews

Work Life Balance

1.5

Compensation

1.2

Culture

1.3

Career

1.8

Management

1.1

15%

Recommend to a Friend

Pros

Strong financial performance

Revenue growth

Company achieving targets

Cons

Poor compensation and raises below inflation

Union-busting and anti-labor practices

Unpaid work demands and wage theft

Salary Ranges

3,570 data points

Junior/L3

Mid/L4

Junior/L3 · Associate Analyst

2 reports

$94,875

total / year

Base

$82,500

Stock

-

Bonus

-

$92,000

$97,750

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 75%

Negative 25%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Take-home Assignment

5

Panel Interview

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Machine Learning Concepts