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职位Tesla

Manufacturing Development Engineer, Automation Development

Tesla

Manufacturing Development Engineer, Automation Development

Tesla

Elgin, Illinois

·

On-site

·

Full-time

·

Today

必备技能

Project Management

What to Expect

Tesla’s Automation Development team is at the forefront of building innovative automation equipment. This team is building the next generation of equipment that will allow our operations team to produce amazing vehicles/products at best in class quality and rate; in a safe and ergonomic environment.

 

We are seeking a Manufacturing Engineer to support our Agile team. This group specializes in developing new processes with design and manufacturing and focuses on high impact / challenging applications. In this role, you will function as the key liaison between the engineering teams responsible for specifying the equipment requirements and the technical team responsible for the development and execution of the automation equipment. You will be responsible for setting test plans, managing development schedules, and compiling/analayzing/communicating test results to other engineering teams. Additionally, you will apply project management skills to assure the timely and efficient execution of these high visibility / value projects.

What You'll Do

  • Work with manufacturing/design/internal teams to set test plans, DOE’s, and development path for new programs and R&D projects
  • Identify and document all project milestones and deliverables and keep project plans up to date, including resource allocations, monitoring schedules, milestones, deliverables, updating percentage completion
  • Manage timelines, resources, budgets, communications, quality, risks, whilst uncovering roadblocks, defining critical paths, identifying resource constraints, and any other issues that arise
  • Lead and develop all activities around project kickoffs, scope definition, design reviews, testing, and weekly progress reports
  • Continuously monitor and measure project processes and activities to identify and communicate potential issues, risks, or problems in a timely fashion and provide corrective action options to drive to resolution
  • Lead cross-functional teams in design reviews, functional testing, and installation.  Includes resource & dependency alignment, coordination of activities, and transparent communication of project status and risk
  • Conduct project evaluations, post-mortems, and drive process change to incorporate learning 
  • Travel is expected to be up to 20%, primarily domestic with a potential for some international

What You'll Bring

  • Experience developing new manufacturing processes from a prototype environment to production
  • Experience aligning with project stakeholders, engineering designers, and equipment builders
  • Experience with complex electromechanical equipment
  • Experience with various manufacturing processes (e.g., assembly, fastening, dispensing, laser welding, electrical testing)
  • 3-10 years of experience as a hands-on mechanical, manufacturing, or design engineer working on manufacturing systems
  • Bachelor’s degree in Mechanical, Manufacturing, Industrial, Mechatronics, or Electrical Engineering, or equivalent experience

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
    $98,640 - $248,400/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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    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

    3.8

    10条评价

    工作生活平衡

    2.2

    薪酬

    3.8

    企业文化

    3.5

    职业发展

    4.1

    管理层

    2.8

    65%

    推荐给朋友

    优点

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Opportunities for growth and learning

    缺点

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    薪资范围

    1,398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