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Service – Vehicle Technician, Jeju, Korea

Tesla

Service – Vehicle Technician, Jeju, Korea

Tesla

Cheju, Jejudo

·

On-site

·

Full-time

·

Today

Position Description

Vehicle Technician는 Tesla 차량의 정비기술자로 차량의 점검, 진단 및 정비를 수행하는 업무를 담당합니다.

'놀랍도록 풍요로운 세상'을 만들어가기 위해 차량의 안전과 성능을 향상시키며, 고객 만족을 위해 최상의 작업 결과를 제공합니다.


Responsibilities

  • Tesla 차량의 진단 및 수리 작업을 수행하여 효율성 극대화
  • 다양한 진단장비와 수동 및 전동 공구를 활용하여 차량의 점검 및 수리작업 진행
  • 차량 품질과 서비스의 지속적인 개선을 위한 피드백 제공
  • 정비 과정 및 수리 작업 데이터 기록 및 보고서 작성
  • 필요한 작업 용품 및 부품 주문
  • 차량 및 서비스 센터 청결 유지 지원
  • 여러 우선순위를 효과적으로 처리하고 마감일을 준수
  • 비즈니스 상황에 따른 다양한 업무 지원
  • 고객과의 직접적인 소통을 통해 정비내용 및 차량 상태를 설명하고 고객 불편 사항을 신속하고 적극적으로 해결


Requirements

  • 자동차 산업에서 2년 이상의 기술 업무 경력을 보유하신 분
  • 기술 고등학교 졸업 및 자동차 기술 관련 전문 학사 학위 우대
  • 자동차정비산업기사 자격증 또는 관련 해당 수준의 다른 자격증 보유자 우대 및 운전면허증을 보유한 분
  • 차량 유지보수 및 수리에 사용되는 기술, 부품, 장비에 대한 풍부한 지식을 보유한 분 (공조 시스템, 유압, 브레이크, 전자시스템 등)
  • 새로운 서비스 기술 및 프로세스를 배우고 변화에 적응할 수 있는 분
  • 혁신적으로 복잡한 문제 해결 및 새로운 아이디어를 제시하는 분
  • 팀 기반 환경에서의 상호 소통에 무리없으며 작업 및 안전우선의 마음가짐으로 공동 목표를 달성한 분
  • 웹 브라우저, Excel 과 Word 와 같은 기본적인 컴퓨터 기술에 대한 이해가 높은 분
  • 비즈니스 상황에 따른 근무시간, 근무지의 유연성이 높으신 분
  • 고객과의 원활한 소통 및 문제 해결 경험이 있으신 분 우대

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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