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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Software Engineer, Controls Systems Validation, Vehicle Software

职能工程
级别中级
地点Palo Alto, California, United States
方式现场办公
类型全职
发布今天
立即申请

必备技能

Python

Rust

What to Expect

The Systems Validation team is responsible for validating all software driven, system level, vehicle requirements prior to any new hardware or software release or new product introduction. This includes inventing and building state of the art automated test infrastructure to increase the efficiency and precision of testing used throughout the development and validation cycle. 

The team is looking for multiple software and systems engineers to support Drive Systems, Brakes, Steering, Suspension, Crash Safety, Thermal Management, HVAC, Body Controls, Lighting, Access Controls, Battery Management, Charging, Power Conversion, High and Low Voltage Power Distribution and Autonomy. 

In this role, you will be responsible for designing, executing, and automating test strategies to validate cutting-edge vehicle software systems. Your work will directly impact the performance, reliability, and safety of Tesla’s vehicles by ensuring seamless integration of software across various subsystems. 

What You'll Do

  • Develop and execute comprehensive, system-level validation strategies for vehicle software, ensuring compliance with functional and performance requirements
  • Design and implement automated and manual test cases, including the use of Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) testing methodologies
  • Develop test infrastructure and automation frameworks using Python, C++ and Rust to improve test efficiency and precision
  • Develop prototype test setups to integrate new subsystems with simulated or actual vehicle components, utilizing software driven test automation
  • Work closely with software, hardware, modelling, controls and development engineers to identify, diagnose, and resolve issues early in the development cycle
  • Analyze test results, generate reports, and provide recommendations for product improvements
  • Investigate real-world field issues, identify root causes, and work with cross-functional teams to implement corrective actions
  • Continuously look for ways to improve the safety, performance, and customer satisfaction with Tesla products

What You'll Bring

  • Degree in Computer Science, Mechatronics, Electrical, Mechanical or Systems Engineering, or equivalent experience
  • Strong fundamentals in electrical, mechanical, thermal, controls and systems engineering concepts
  • Ability to analyze complex systems and develop robust, comprehensive test coverage
  • Hands on experience debugging complex systems involving networked microprocessors and software-controlled electrical and electromechanical sensors and actuators
  • Experience with test automation, object-oriented software design (Python, C++, Rust), and debugging tools
  • Experience with HIL/SIL environments, test benches, and simulation-based validation
  • Experience with vehicle communication protocols (CAN, LIN, Ethernet) and diagnostic tools
  • Experience analyzing and parsing data to develop technical insights
  • Ability to work in a fast-paced, dynamic environment with cross-functional teams
  • Minimum 2 years’ experience utilizing the skills above

Compensation and Benefits

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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    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

    Junior/L3 · Associate Analyst

    2份报告

    $94,875

    年薪总额

    基本工资

    $82,500

    股票

    -

    奖金

    -

    $92,000

    $97,750

    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