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Vehicle Dynamics Controls Engineer, Vehicle Software

Tesla

Vehicle Dynamics Controls Engineer, Vehicle Software

Tesla

Palo Alto, California

·

On-site

·

Full-time

·

Today

What To Expect
The Tesla Vehicle Dynamics Controls team works on design and implementation of control algorithms and software that delivers the world-class vehicle dynamics attributes Tesla vehicles are known for. The control algorithms at Tesla are strongly physics oriented, so the role requires an individual that can apply first-principles analysis and advanced control techniques for the design and implementation of novel, industry-leading vehicle motion control systems (specifically, controlling brake, suspension, steering, aero, and powertrain systems). This role will also require working cross-functionally with various groups including Chassis Hardware, Vehicle Dynamics and Modeling, Firmware, Systems Integration, and Self Driving teams. Some well-known systems our team has developed and shipped include an industry-first Steer-by-Wire and Rear-Steer system on the Cybertruck, Track Mode and torque vectoring for the Plaid Model S, Tesla’s in-house stability control (VDC), multi-motor traction control, adaptive suspension damping, trailer sway control, Self Driving actuator controls, etc.

What You'll Do

  • Develop control-oriented models of chassis systems for analysis and estimation
  • Evaluate novel subsystems related to vehicle motion to inform product architecture decisions
  • Work with Vehicle Dynamics Engineers to ensure sensing, actuation, and algorithm designs can deliver the desired vehicle dynamics attributes
  • Develop and implement control algorithms to maximize system capability and flexibility
  • Develop and implement estimation and monitoring algorithms to maximize system safety and reliability
  • Work with Firmware/Integration Engineers to test, debug, and calibrate the algorithms in simulation and in car
  • Ensure stability and performance of the algorithms using software-in-the-loop (SIL) and hardware-in-the-loop (HIL) tools, in the vehicle at proving grounds and in the customer fleet
  • Advance the state-of-the-art in vehicle motion control technology deployed in Tesla vehicles


  • What You'll Bring

  • Excellent background in first principles linear systems analysis, state-estimation, and control design
  • Excellent fundamental understanding of vehicle dynamics, specifically low and medium fidelity models to be used within a control algorithm
  • Demonstrated ability to ground-up design, analyze, implement, test, and debug control systems in real-world applications
  • Demonstrated ability to collaborate cross-functionally, work hands-on, and execute on open-ended projects in a fast-paced, resource-constrained environment
  • Basic understanding of the physics of electric drivetrains, and chassis actuators like brakes, steering, suspensions, etc.
  • Excellent proficiency with engineering development tools like Matlab/Simulink/Python
  • Basic proficiency with software development in C/C++
  • Real world experience with vehicle dynamics performance characteristics, preferred
  • Expertise in advanced control and estimation techniques, and optimal control, preferred
  • Degree in Mechanical Engineering, Automotive Engineering, or equivalent in experience and evidence of exceptional ability


  • 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