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Process Engineer, Service Manufacturing

Tesla

Process Engineer, Service Manufacturing

Tesla

Lathrop, California

·

On-site

·

Full-time

·

Today

What To Expect
As the Process Engineer, you will be responsible for process sustaining and continuous improvement on the Service Manufacturing production lines, building new HV batteries and electric motors for Tesla’s service network. You will be responsible for applying lean manufacturing principles to monitor yield, fallout, and critical parameters and drive necessary process improvements. Daily work will be highly cooperative in nature with regularly interactions with Manufacturing Engineering, New Product Introduction, Quality Engineering, Equipment Engineering, and Production Operators – strong interpersonal skills are critical. You will place a significant focus on trouble shooting and root causing test failures and fallout, including data collection and rework process development. You will also overlap regularly with the remanufacturing operations of similar products to understand leading causes of field failures and prevent defects in production. The position will report to the engineering lead for the associated product within Service Manufacturing.

What You'll Do

  • Lead continuous improvement activities to drive improvements to critical KPIs: safety, quality, output, and cost
  • Establish regular yield tracking, including data collection and Pareto charts for top failures; lead team meetings ton review and drive implementation of countermeasures to top issues
  • Establish and monitor SPC for all critical process parameters and ensure process documentation is updated, clear, and comprehensive
  • Work closely with New Product Introduction teams to trial and implement product changes and plan for sub - component obsolescence at suppliers
  • Work closely with maintenance and equipment engineering to troubleshoot equipment issues and address production issues
  • Lead NCM (non-conforming material) activities, including the documentation and troubleshooting of line fall out
  • Create troubleshooting guides and document procedures for offline failure analysis of test failures and non-conformances
  • Design, validate, and document rework procedures for non-conforming material
  • Work with field quality and remanufacturing to monitor field reliability of finished products and drive necessary process improvements to reduce failures
  • Create and maintain SOPs and process flow, make necessary updates for process and BoM changes


  • What You'll Bring

  • Degree in Engineering (preferred Mechanical, Electrical, Manufacturing, or Industrial) or equivalent relevant experience
  • 2+ years’ experience in manufacturing, operations, or similar
  • Exposure to Lean Manufacturing, 5S, continuous improvement
  • Knowledge of problem-solving tools and methodologies (A3, 8D, or similar)
  • Experience with FMEAs and 8D are highly desired
  • Knowledge of statistical process control (SPC)
  • Experience with time study methodologies and industrial engineering basics and strong mechanical and electrical engineering fundamentals
  • Experience with electric motors or lithium-ion batteries is a plus
  • Working experience with Python, SQL, and/or SolidWorks is a plus
  • Strong verbal and written communication, ability to work in large teams and comfortable with ambiguity


  • 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

    $75,600 - $140,400/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