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Software QA Engineer, Self-Driving

Tesla

Software QA Engineer, Self-Driving

Tesla

Palo Alto, California

·

On-site

·

Full-time

·

Today

What To Expect
As a Software QA Engineer, you will be responsible for validating all current and future Autopilot features on the path to Unsupervised Full Self-Driving. You will work closely with the development team to drive the validation of new and existing Autopilot features, and you will be responsible for reporting and investigating issues that are detected in the field. The work you do will directly impact the experience that our customers around the world have with Autopilot. You will work with teams in the US, Europe, and Asia. This will require you to be flexible in terms of when you start or end your workday. A strong candidate will possess excellent quality assurance skills with a great attention to detail, have prior industry experience testing sensory-based robotics motion, planning and controls features, artificial intelligence, have a self-driven attitude, and a passion to deliver the highest quality software possible.

What You'll Do

  • Help transition Tesla’s Autopilot to Unsupervised Full Self-Driving by developing & validating features including Full Self-Driving (Supervised), Autosteer, Autopark, Navigate on Autopilot, Smart Summon, and more
  • Support in maintaining existing tooling/automation/simulation code and pitch your own validation requirements to the tooling team on new tooling projects
  • Perform functional, stress, and performance tests on multiple levels within the system including vehicle software simulation, hardware-in-the-loop automation, and in-vehicle testing
  • Leverage Tesla’s vast telemetry pipeline to monitor Autopilot performance in the field
  • Identify effective test strategies for new/existing features and craft test plans accordingly
  • Analyze issues detected during your tests or reported by others and work closely with firmware developers to fix issues and validate software changes
  • Review of system requirements for testability and make sure software meets federal and internal requirements
  • Create data visualizations and metrics


  • What You'll Bring

  • Evidence of solid coding skills in Python or C++. A live coding test will be part of the interview procedure
  • Very strong English communication skills in conversation and writing (CEFR C1 level minimum, no certificate needed)
  • Degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Electrical Engineering, Embedded Systems Engineering, or the equivalent in practical experience and evidence of exceptional ability. Several years of experience feature validation in the field of automotive, aerospace, nautical or robotic systems, embedded or system-level software, or consumer electronics hardware/software. Manual test execution is not considered as relevant experience
  • Evidence of hands-on experience troubleshooting on both software and hardware level
  • Outstanding attention to detail
  • Flexibility of traveling to various domestic and international destinations when necessary, to test vehicles on public roads, test tracks and proving grounds
  • Valid driver’s license
  • Experience testing ADAS features, and/or experience testing computer vision systems a big plus but not a must. Candidates with strong validation and test-automation experience from other fields of work, are welcomed to apply


  • 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

    $113,424 - $248,880/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