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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Regional Technical Specialist

职能运营
级别中级
地点Toa Payoh
方式现场办公
类型全职
发布今天
立即申请

必备技能

Excel

Position Description
As a Tesla Regional Technical Specialist, you'll work within the Service Technical Organization to drive Tesla's exceptional Service standards. This role is the key connection point between our regional Service Centers and APAC Service Engineering. Your responsibility will be leading accurate diagnosis of escalated cases across multiple service centers, keeping vehicles on road while improving service capabilities.

A strong technical background in diagnosing complex electromechanical systems with heavy software content is required. This Regional Technical Specialist must be passionate about diagnostics, must be a strong critical thinker with great fluency in understanding technical system-level architecture and issues. This role will require extensive regular travel at short notice supporting issues within the Service Region.

Responsibilities

  • Provide on-site diagnostic support for Service Locations within allocated region
  • Support Service technicians remotely with diagnostic and troubleshooting techniques via the Service Toolbox escalation path
  • Identify quality concerns, generating a continuous feedback loop of issues identified in the field
  • Collaborate with regional Field and Product Support Engineers in root cause analysis
  • Provide operational feedback for service procedures, knowledgebase improvements and diagnostic tooling/applications
  • Utilize reports and metrics to spot trends and areas for technical development within Service
  • Provide on-site coaching and mentoring of Lead and Master Technicians focusing on diagnostic principles and service procedures under the guidance of Tesla Academy
  • Provide frequent documentation of work for reporting purposes via a ticketing system
  • Host Service/Technical operation bi-weekly meetings
  • Regular travel required to support, monitor and report on new/trending/critical or region-specific concerns
  • Availability for occasional off-hours work and meetings


  • Requirements

  • Minimum 2 years experience as OEM Senior or Master Technician
  • Ability to travel interstate/Internationally at short notice as per business requirements
  • Experience with complex automotive/ electromechanical systems, preferably electric vehicles or high voltage DC systems such as DC storage or DC-DC converters
  • Skilled with common workplace and database software (MS Word, Excel, Visio, Access, etc).
  • Valid driver’s license
  • Demonstrated experience in testing and diagnosis of all systems including HVAC, hydraulic brakes, suspension, electronic systems and modules
  • Demonstrated experience using diagnostic scan tools, following diagnostics and operating scopes
  • EV or Hybrid Experience a bonus
  • Possess a rare combination of analytical thinking, hands-on problem solving, and a customer-service mindset
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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

    10条评价

    3.8

    10条评价

    工作生活平衡

    2.3

    薪酬

    4.0

    企业文化

    3.2

    职业发展

    4.1

    管理层

    2.8

    65%

    推荐率

    优点

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Good compensation and benefits

    缺点

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    薪资范围

    1,403个数据点

    Junior/L3

    Mid/L4

    Senior/L5

    Junior/L3 · ASSOCIATE MANAGER, LOGISTICS

    2份报告

    $131,560

    年薪总额

    基本工资

    $114,400

    股票

    -

    奖金

    -

    $131,560

    $131,560

    面试评价

    4条评价

    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