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채용Tesla

Process Engineer

Tesla

Process Engineer

Tesla

Fremont, California

·

On-site

·

Full-time

·

Today

필수 스킬

Python

What To Expect
The Castings / RPC Process Engineer sustains, optimizes, and redesigns manufacturing processes, tools, and fixtures in a hands-on production environment operating 24/7 across 4 shifts to achieve Safety, Quality, Delivery, and Cost targets. This role leads projects to identify inefficiencies in casting operations, applies lean manufacturing principles and kaizen methodologies for cost reduction and productivity gains, develops standardized work procedures ensuring consistency, quality, compliance, logistics, material flow, cost analysis, and production coordination, and conducts FMEA risk assessments alongside statistical analyses to set processes, staff requirements, production standards, and mitigation strategies. The engineer manages process changes for smooth transitions with minimal disruption, updates CAD layouts and designs efficient equipment, material, and workspace configurations, optimizes cycle times, mod-aps, ergonomics, OEE, capability, and line utilization through data-driven monitoring and corrective actions, and collaborates with engineering, production, and management teams as the process leader to align on operational efficiency and goals.

What You'll Do

  • Analyze, design, and optimize production processes for safety, yield, capacity, and cost-effectiveness
  • Develop and modify line layouts, processes, and fixtures using Lean Manufacturing to improve flow, reduce waste, and enhance ergonomics
  • Support product transitions from concept to pilot and mass production
  • Partner with Equipment Engineering to balance cycle times with workforce needs
  • Manage internal maintenance and major contractor projects
  • Assist Maintenance in troubleshooting breakdowns and chronic failures
  • Define project scope, budgets, vendor coordination, and equipment installations
  • Recommend design and assembly improvements to enhance manufacturability
  • Train supervisors and operators as needed
  • Collaborate on off-hours improvements in cycle time, uptime, quality, and safety


  • What You'll Bring

  • Degree in Industrial, Process, Manufacturing or other engineering discipline, or equivalent experience
  • 3+ years of experience designing, implementing, and optimizing process equipment, tools, fixtures, and instructions
  • Demonstrated experience developing/improving processes with a track record of Overall Equipment Effectiveness (OEE) improvements
  • Experience ramping high-volume, automated, and semi-automated manufacturing lines
  • Strong mechanical intuition, hands-on experience modifying jigs/fixtures, equipment installations, interpreting mechanical drawings (CNC/manual machining beneficial)
  • Proficiency in AUTOCAD/factory layout tools; experience with Vision inspection systems (Keyence 2D/profilometry), Ignition Automation, MES, and/or Python highly desired
  • Solid knowledge of BOMs, manufacturability, process design/validation, assembly methods, design reviews, cost reduction, and statistics
  • Experience applying Lean Six Sigma methodologies (Waste Reduction, Poka-Yoke, SPC, GR&R, DOE)
  • Strong ability to work and communicate effectively with teams/peers in manufacturing/engineering, excellent written/verbal skills
  • Excellent project management, prioritization, and ability to simplify complex problems while influencing stakeholders, with the capacity for managing simultaneous activities and challenges


  • 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 - $156,000/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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    Tesla 소개

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    직원 수

    Ciudad De Panamá

    본사 위치

    $800B

    기업 가치

    리뷰

    3.8

    10개 리뷰

    워라밸

    2.2

    보상

    3.8

    문화

    3.5

    커리어

    4.1

    경영진

    2.8

    65%

    친구에게 추천

    장점

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Opportunities for growth and learning

    단점

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    연봉 정보

    1,398개 데이터

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2개 리포트

    $94,875

    총 연봉

    기본급

    $82,500

    주식

    -

    보너스

    -

    $92,000

    $97,750

    면접 경험

    4개 면접

    난이도

    3.5

    / 5

    소요 기간

    14-28주

    경험

    긍정 0%

    보통 75%

    부정 25%

    면접 과정

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    자주 나오는 질문

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts