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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

System Integration/Validation Engineer (m/w/d) – Off-Board Vehicle Charging

직무엔지니어링
경력미들급
위치Freiburg Im Breisgau
근무오피스 출근
고용정규직
게시오늘
지원하기

필수 스킬

Python

What To Expect
Please submit your CV in English in order to be considered for the role.

To ensure Tesla's overall mission of accelerating the world's transition to sustainable abundance, the Tesla Energy team is leveraging its world-class expertise in power electronics, vertical integration, firmware development, and global large-scale deployments to deliver reliable and scalable charging products.

Tesla Energy is looking for an engineer who is passionate about hardware/firmware integration and validation to drive the world’s transition to a sustainable future. We emphasise collaboration in our work and always encourage each other to have fun whilst we change the world together. 

What You'll Do

  • Perform end-to-end hardware and firmware integration across Tesla’s charging systems
  • Lead validation of hardware controls and system-level functionality for new Supercharger products (including hardware design/control validation, board debugging, root-cause analysis and hardware/firmware regression testing)
  • Develop and execute test plans to validate functions, features, and system performance
  • Work closely with cross-functional teams to ensure functional, performance, and safety requirements are achieved
  • Conduct failure analysis to understand root cause and drive resolution for failures originating in testing and from the field
  • Drive continuous improvement in design and performance by providing direct and accurate feedback to design owners
  • Debug and fix hardware and firmware issues on complex, high-power/high-voltage products
  • Provide hands-on support with hardware bring-up and prototyping


  • What You'll Bring

  • Degree in Electrical Engineering or equivalent degree/experience
  • 3+ years of experience in electronic hardware integration and/or firmware integration
  • In-depth understanding of HV power electronic components (active and passive) and expertise in developing associated characterisation/validation testing methods
  • Strong understanding of device characteristics, gate driving circuit design, thermal design, magnetics design (inductors, transformers), power electronics topologies (AC/DC, DC/DC, and DC/AC), modulation schemes, and control theories
  • Proficiency in Altium or other schematic entry and PCB layout software
  • Experience with Python, C, C++
  • Proficiency with basic EE tools (scopes, network analysers, power supplies, electronic loads, CAN tools)
  • Exceptional analytical problem-solving skills, able to identify and surface issues within complex hardware/software systems
  • Effective communicator and excellent attention to detail
  • Experience with inverters, batteries, controls, and industrial grid codes is preferred


  • , Tesla

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    Tesla 소개

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    직원 수

    Ciudad De Panamá

    본사 위치

    $800B

    기업 가치

    리뷰

    10개 리뷰

    3.8

    10개 리뷰

    워라밸

    2.3

    보상

    4.0

    문화

    3.2

    커리어

    4.1

    경영진

    2.8

    65%

    지인 추천률

    장점

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Good compensation and benefits

    단점

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    연봉 정보

    1,403개 데이터

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2개 리포트

    $94,875

    총 연봉

    기본급

    $82,500

    주식

    -

    보너스

    -

    $92,000

    $97,750

    면접 후기

    후기 4개

    난이도

    3.5

    / 5

    소요 기간

    14-28주

    경험

    긍정 0%

    보통 75%

    부정 25%

    면접 과정

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    자주 나오는 질문

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts