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职位Tesla

Process Engineer, Optimus

Tesla

Process Engineer, Optimus

Tesla

Fremont, California

·

On-site

·

Full-time

·

Today

必备技能

SQL

Tableau

What To Expect
Tesla is seeking a self-motivated Process Engineer to ensure continuous production quality and enable world-class manufacturing of Tesla’s cutting-edge humanoid AI robot.

This is an exciting opportunity to make a profound impact in innovation of the humanoid bot manufacturing space. Tesla is a demanding and fast-paced environment where you will work on a critical subsystem of the Optimus architecture.

The successful Process Engineer will work with cross-functional teams to aggressively ramp the Optimus to full-scale production and beyond. This individual will develop robust operational processes to greatly improve efficiency and quality in Bot manufacturing. This includes analysis of yield, cycle time, and process capability. The engineer will leverage lean manufacturing principles, poke yoke fixtures, data visualization, material flow, and possess an exceptional ability to root cause based on first principles. They will identify trends and signals in process data to allow rapid generational leaps in Bot manufacturability and rate. This individual is exceptional at communication through data, with a demonstrated ability to delete and simplify complex process steps.

What You'll Do

  • Review critical process metrics daily for statistical shifts from nominal and develop game plans to address
  • Identify and develop critical process monitors and metrics for Optimus manufacturing to identify and resolve key constraints to full scale production
  • Lead cross functional implementation of complex assembly processes to production
  • Guide and develop roadmaps for aggressive improvement to OEE metrics: Yield, Cycle Time, Availability, and Cost. Report metrics to upper management
  • Manage workload with a positive attitude as a team player in a collaborative work environment
  • Drive continuous improvement activities for engineering and manufacturing including 5S and Lean manufacturing activities, material handling improvements, production line configuration, and safety procedures


  • What You'll Bring

  • Degree in Engineering, Mathematics, Physical Science, or equivalent experience
  • Ability to derive data-supported root causes and propose strong countermeasures
  • Tableau, R-studio, Minitab, and/or JMP experience preferred
  • Must be able to pull data using efficient SQL queries, and in the absence of available databases, must be hands on in gathering critical data as systems develop in parallel
  • Exceptional problem-solving skills and an aptitude for learning systems quickly, capacity for managing simultaneous activities and challenges
  • Demonstrated experience in ramping a manufacturing line
  • Proven history of innovation and drive to do things better, cheaper, faster in alignment with Tesla’s aggressive approach to ramping production lines
  • Desired Manufacturing Skillsets - Ignition Automation experience, familiarity with two-part adhesives, Atlas-Copco fastener rundown traces and quality detection methods
  • Additive manufacturing and CAD strongly preferred
  • Familiarity in Vision inspection systems preferred, such as Keyence 2D image inspection and profilometry


  • 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

    $84,000 - $180,000/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