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职位Tesla

Supplier Quality Engineer, Drive Unit

Tesla

Supplier Quality Engineer, Drive Unit

Tesla

Sparks, Nevada

·

On-site

·

Full-time

·

Today

What To Expect
Tesla's Supplier Quality team serves as the critical frontline defense against quality issues in our supply chain. We rapidly identify, contain, and resolve supplier quality concerns to protect manufacturing lines. This fast-paced role demands exceptional problem-solving abilities, decisive action, and effective communication with internal/external teams at all levels. For curious minds, this position offers unparalleled exposure to complex manufacturing systems, quality methodologies, and Tesla's innovative approach to problem-solving. You'll develop valuable technical and leadership skills while making direct, measurable impact on our production systems.

The mission: Safeguard Tesla's manufacturing operations by preventing supplier quality issues through proactive identification, containment, and permanent resolution - ultimately supporting our commitment to delivering high-quality products to our customers.

What You'll Do

  • Drive containment actions and develop sorting/rework methodologies that ensure only parts meeting quality standards reach production lines, applying creative problem-solving to error-proof these processes
  • Solve problems under pressure by thinking clearly to assess situations and provide the team with actionable next steps
  • Prioritize tasks effectively using hypothesis testing and Risk Priority Number (RPN) evaluation
  • Break down complex tasks into manageable steps and lead implementation from the frontlines
  • Identify and champion kaizen initiatives that reduce part costs, enhance quality standards, or improve ergonomics in manufacturing processes
  • Own and drive Supplier Quality KPIs including SCAR containment metrics, sort closure rates, aging MRB tickets, and related performance indicators
  • Coordinate effectively with suppliers to ensure timely sort initiations by managing PO releases, communicating Clean Shipment Dates, and conducting thorough Verification of Effectiveness for SCARs
  • Stay at the forefront of emerging manufacturing and engineering trends impacting product quality
  • Follow issues through to completion, with flexibility to support different production shifts or commodities as per business needs


  • What You'll Bring

  • Degree in Electrical, Mechanical, Industrial, or Manufacturing Engineering, or equivalent experience
  • Understanding of components function and structure for Battery Module/Pack or Drive Unit
  • Strong foundation in manufacturing and quality methodologies including OEE (Overall Equipment Effectiveness), 8D problem solving, Pareto Analysis, Hypothesis Testing, Statistical Process Control (SPC), and measurement system analysis
  • Exceptional interpersonal skills for building collaborative relationships across functional teams, with the confidence to direct supplier activities at the management level
  • Proactive, results-driven mindset with passion for improving processes, enhancing part quality, and driving operational excellence
  • Natural curiosity, a hand on approach and willingness to learn new skills with a focus on quick implementation
  • Practical experience with Quality Systems, PPAP/APQP processes, understanding of Geometric Dimensioning and Tolerancing (GD&T), and various inspection methods
  • Strong technical communication abilities, particularly in translating complex engineering concepts into clear, actionable information for diverse audiences
  • Supplier sourcing or process audit experience
  • Practical experience with data analysis and visualization using tools like SQL, Tableau, Python


  • 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


  • , Tesla

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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

    3.1

    5条评价

    工作生活平衡

    1.5

    薪酬

    1.2

    企业文化

    1.3

    职业发展

    1.8

    管理层

    1.1

    15%

    推荐给朋友

    优点

    Strong financial performance

    Revenue growth

    Company achieving targets

    缺点

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    薪资范围

    1,397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

    面试经验

    4次面试

    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