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职位Tesla

Engineering Technician, Tilburg

Tesla

Engineering Technician, Tilburg

Tesla

Tilburg, Noord-brabant

·

On-site

·

Full-time

·

Today

必备技能

Python

SQL

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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关于Tesla

Tesla

Tesla

Public

A financial leasing taxi company that provides vehicles to customers

140,000+

员工数

Ciudad De Panamá

总部位置

$800B

企业估值

评价

3.8

10条评价

工作生活平衡

2.2

薪酬

3.8

企业文化

3.5

职业发展

4.1

管理层

2.8

65%

推荐给朋友

优点

Innovative projects and cutting-edge technology

Great team and supportive colleagues

Opportunities for growth and learning

缺点

Long hours and poor work-life balance

High pressure and tight deadlines

Management issues and high expectations

薪资范围

1,398个数据点

Junior/L3

Mid/L4

Junior/L3 · Associate Analyst

2份报告

$94,875

年薪总额

基本工资

$82,500

股票

-

奖金

-

$92,000

$97,750

面试经验

4次面试

难度

3.5

/ 5

时长

14-28周

体验

正面 0%

中性 75%

负面 25%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Take-home Assignment

5

Panel Interview

6

Offer

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Machine Learning Concepts