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Manufacturing Equipment Engineer, Battery Module, Powertrain

Tesla

Manufacturing Equipment Engineer, Battery Module, Powertrain

Tesla

Sparks, Nevada

·

On-site

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Full-time

·

Today

What To Expect
A Manufacturing Equipment Engineer in the Production Engineering team will be a part of operating, sustaining, and optimizing advanced manufacturing equipment and leading-edge technologies. The best candidate for the position has a high aptitude for learning and adapting quickly in a high paced environment. The candidate should come in with a strong background in at least one of the following disciplines (PLC Programming, 6-axis robots, Python scripting, SCADA, mechanical design & analysis, vision systems, or electrical testers). The Equipment Engineer must constantly demonstrate critical thinking and problem-solving skills in automated equipment while developing their skillsets outside of their area of expertise.

What You'll Do

  • Support 24/7 operation either remotely or onsite during times of escalation
  • Accurately and efficiently troubleshoot issues while implementing counter measures and continuous improvement projects to reduce downtime and loss of efficiency
  • An equipment engineer must provide hands-on support and mentorship to maintenance and controls team to troubleshoot and resolve extended downtime situations
  • Program, teach, and troubleshoot industrial 6-axis robots (Fanuc) for multiple applications such as material handling and dispense
  • Responsible for troubleshooting, commissioning, and optimizing motion controls systems with VFDs and servo motors (PowerFlex, Kinetix, SiMotion, Lenze, LTI, Itoh Denki, etc.)
  • Responsible for diagnosing equipment failures, identifying root causes; develop strategies to mitigate or eliminate the frequency, severity, and impact of the failure modes. Candidate must have working knowledge of electrical, mechanical, industrial networks and controls systems
  • Take ownership and present on metrics (station level and overall line level) while planning and implementing continuous improvement projects to improve Overall Equipment Effectiveness across different automated stations
  • Lead equipment upgrades, retrofits, and repairs with a focus on design intent, manufacturability, serviceability, reliability, and process capability
  • Takes initiative to create, propose, implement and improve standard operating procedures for the equipment and stations within the area of ownership


  • What You'll Bring

  • Degree in Mechanical, Electrical, Mechatronics, Robotics engineering, or equivalent relevant experience
  • Experienced in programming, troubleshooting, and integrating PLC platforms with ladder logic and structured text (Allen-Bradley, Siemens, Beckhoff)
  • Experience commissioning and optimizing equipment.  Have a demonstrated track record of Overall Equipment Effectiveness (OEE) improvement
  • Robotics maintenance, troubleshooting, optimization & programming, preferred
  • 3+ years in an automated, high volume manufacturing facility
  • Experienced in safety control devices and safety logic is preferred
  • Strong problem-solving skills and an aptitude for learning systems quickly.  Able to utilize structured problem-solving techniques such as DMAIC, Ishikawa, Five Why (5W) or Eight Disciplines (8D).  Able to resolve high level performance issues into addressable actions, preferred
  • Able to read and interpret basic mechanical drawings and electrical schematics, experience developing and improving HMI’s, Fanuc Robotics / Ignition Experience, preferred
  • Strong ability to work and communicate effectively with team and peers within a manufacturing and engineering organization as well as cross-functional teams.  This includes excellent communication skills: written and verbal
  • Creative capacity for developing new ways to do things better, cost-effective, faster in alignment with the Tesla approach to revolutionary product development, is a plus


  • 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


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    About Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    Employees

    Ciudad De Panamá

    Headquarters

    $800B

    Valuation

    Reviews

    3.1

    5 reviews

    Work Life Balance

    1.5

    Compensation

    1.2

    Culture

    1.3

    Career

    1.8

    Management

    1.1

    15%

    Recommend to a Friend

    Pros

    Strong financial performance

    Revenue growth

    Company achieving targets

    Cons

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    Salary Ranges

    3,570 data points

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2 reports

    $94,875

    total / year

    Base

    $82,500

    Stock

    -

    Bonus

    -

    $92,000

    $97,750

    Interview Experience

    4 interviews

    Difficulty

    3.5

    / 5

    Duration

    14-28 weeks

    Experience

    Positive 0%

    Neutral 75%

    Negative 25%

    Interview Process

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    Common Questions

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts