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职位Tesla

Sr. Manufacturing Engineer, Optimus

Tesla

Sr. Manufacturing Engineer, Optimus

Tesla

Fremont, California

·

On-site

·

Full-time

·

Today

What To Expect
Tesla is looking to hire a Sr. Manufacturing Engineer to contribute to the concept development and launch of battery manufacturing equipment for our cutting-edge Optimus robot. In this role you will take large scale manufacturing systems for new battery products and architectures from the early concept development stage through equipment launch, optimization and handover to local operations teams. Battery development is at the heart of our company, and this is an exciting opportunity to work directly on the central challenges for the all-new Optimus product architecture while still in its early development stages. Tesla is a demanding and fast-paced environment where you will work with a highly motivated team on challenging projects.

In addition to developing manufacturing equipment and processes, manufacturing engineers work with cross-functional teams throughout the entire product lifecycle. You will work closely with design engineering, quality and production to take battery design changes and new battery designs from initial concept through prototype development and into full production.

What You'll Do
  • Lead a high-volume, automated manufacturing zone, managing vendor relationships and coordinating project scope across production, design, and quality teams
  • Function as zone lead for new automated manufacturing equipment, overseeing development, commissioning, and implementation
  • Collaborate and manage internal and external equipment integrators from equipment development through handover to local operations teams
  • Develop specifications and manage RFQ process for new manufacturing equipment
  • Validate and optimize processes from early prototype builds through full volume production
  • Troubleshoot process capability and stability through root cause analysis and design of experiments
  • Identify root causes of production bottlenecks, equipment malfunctions, and variability, using first principles thinking to drive sustainable solutions
  • Use manufacturing data to inform decisions, track progress, and identify areas for improvement in real-time
  • Create detailed documentation for equipment handover to operations team
  • Travel domestically/internationally to help support equipment FATs and across Tesla sites as needed (<50% Travel expected)

    What You'll Bring

  • 5+ years of engineering or equivalent relevant experience
  • Experience developing and implementing manufacturing processes and equipment in high-volume production
  • Experience deploying, qualifying and validating new processes in a highly automated production environment
  • Proficiency in geometric dimensioning & tolerancing (GD&T) and experimental design
  • Design of mechanical equipment, fixturing, and tooling in CAD (SolidWorks preferred, CATIA is also a plus)
  • Strong analytical skills with the ability to interpret production data and solve technical challenges using first principles
  • Familiarity with industrial engineering concepts such as line balancing and OEE
  • Degree in Mechanical Engineering, Manufacturing Engineering, Mechatronics Engineering, or equivalent experience


  • 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

    $130,400 - $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.

    , 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