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System Validation Engineer, Optimus Hand

Tesla

System Validation Engineer, Optimus Hand

Tesla

Palo Alto, California

·

On-site

·

Full-time

·

Today

What To Expect
Tesla is at the forefront of developing humanoid robots, known as Optimus, on a large scale to revolutionize automation in manufacturing and material handling. We leverage advanced AI for highly adaptable and autonomous operation.

As part of our Optimus Hardware Validation team, we're seeking an exceptional System Engineer to design and implement comprehensive tests at sub-system and system levels for hand validation. You'll develop innovative methodologies to ensure the reliability, performance, and safety of our cutting-edge robotic hand. This highly cross-functional role involves collaborating with design engineers, software developers, and controls experts to create efficient testing that delivers optimal results in minimal time.

You will take direction from a senior engineer, while assuming full responsibility over the tests you design and run, providing summaries directly to teams. The ideal candidate possesses a strong background in mechanical engineering with proven experience coding for physical systems and experience in designing, testing, debugging, and/or system integration. If you are passionate about robotics and possess the drive to tackle these technical challenges head-on, we invite you to be part of our team.

What You'll Do

  • Design, develop, and execute tests for hands in system and sub-system level
  • Analyze test data, perform root cause analysis for system-level failures, identify trends, and collaborate cross-functionally to drive resolutions and recommend design improvements
  • Design and develop test fixturing, automation scripts to satisfy test plan requirements
  • Document test procedures, results, and analysis clearly and concisely
  • Assist with test planning and DFMEA activities for hand sub-systems


  • What You'll Bring

  • Bachelor's Degree in Mechatronics or Mechanical Engineering, or equivalent experience
  • Experience in designing, testing or debugging electromechanical systems or robotic systems, preferably within an industrial environment
  • Understanding of engineering fundamental principles such as statics, thermodynamics, materials science, and circuits
  • Strong modeling skill in CAD, preferably CATIA (3DExperience) with basic knowledge of GD&T
  • Expertise in electrical sensors, actuators, test automation, motor controller operation, interfaces, and data acquisition systems are highly desirable
  • Strong programming skills in Python (or strong programming skill in another language with familiarity with Python)
  • Familiarity with concepts of robotic systems encompassing hardware and firmware components as well as communication protocols (preferably EtherCAT or CAN)
  • Experience using data analysis tools and techniques to interpret results; proficiency in MATLAB, Python, JMP, or Minitab is preferred
  • Ability to work effectively and autonomously in a fast-paced, dynamic environment while maintaining clear documentation of your work


  • 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

    $91,600 - $316,800/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