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Validation Engineer, Crash Safety, Vehicle Software

Tesla

Validation Engineer, Crash Safety, Vehicle Software

Tesla

Palo Alto, California

·

On-site

·

Full-time

·

Today

What To Expect
The Crash Safety Software team is looking for an experienced software engineer to develop simulation and test infrastructure critical to releasing safety critical software with high confidence. This role will involve using core software tooling expertise to validate embedded controllers in a virtual simulation environment through Tesla’s state-of-the-art Software in the Loop (SIL) infrastructure, along with testing physical ECU hardware through Hardware in the Loop (HIL) testers.

You will be responsible for designing scalable infrastructure to support new feature releases, support software Over the Air (OTA) releases, sign off on regression tests, automate test execution pipelines, and work with a small world-class team to ship high-quality software. Additionally, you will develop infrastructure to allow for rapid algorithm iteration, including a pipeline to rapidly incorporate real-world data. This is a unique opportunity to build innovative simulation infrastructure, software tooling, CI/CD pipelines, automation, validation systems, and more while applying your creativity without constraints. 

The Crash Safety Firmware team develops and integrates airbag controller functionality that makes Tesla’s vehicles the safest on the road. Join the growing team to tackle our mission to improve real-world crash safety through smart engineering and ambitious innovation using insights gathered from our global connected vehicle fleet as well as our state-of-the-art crash lab. You will solve some of the most ambiguous and challenging problems in the industry while working alongside deeply knowledgeable engineers from different disciplines, in a fast-paced environment, using cutting-edge software development tools and practices. 

What You'll Do

  • Develop firmware simulation tooling in a Software in the Loop environment
  • Design and develop tooling for Hardware in the Loop testers 
  • Create automated validation infrastructure to enable reliable, efficient, thorough, accurate, and repeatable tests 
  • Develop and execute automated regression test suites for safety critical crash safety firmware 
  • Continuously analyze and improve regression test suite coverage
  • Own the validation release process for customer releases, including test strategy scoping, test execution, and sign off 


  • What You'll Bring

  • Degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience 
  • Minimum of 3 years of relevant experience in software tooling developing, test automation or embedded development
  • Excellent proficiency in Python
  • Experience in C 
  • Knowledge and experience with automation and build tools (Jenkins, Docker, SCons) 
  • Experience with Rust is a plus
  • Experience understanding analog & digital circuits 
  • Knowledge of version control (Git) and continuous integration 
  • Excellent verbal and written communication skills to coordinate with the team 
  • Experience with FPGAs is a plus 


  • Benefits
    Compensation and Benefits
    Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
  • Medical plans > plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D
  • Short-term and long-term disability insurance (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program


  • Expected Compensation

    $140,000 - $300,000/annual salary + cash and stock awards + benefits

    Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

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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