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

Tesla

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

Tesla

Freiburg Im Breisgau

·

On-site

·

Full-time

·

Today

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


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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