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Site Reliability Engineer, Semi

Tesla Motors
Sparks, NV Full Time
POSTED ON 3/15/2025
AVAILABLE BEFORE 5/15/2025

Job Details

A Reliability Engineer in the Gigafactory Nevada Facilities team sustains, supports new and existing utility equipment, and continuously improves processes that supports one of most automated factories in the world. The best candidate for the position has a high aptitude to learn new skillsets in the position. The expectation is that the engineer will start with strengths in each field and then learn all other areas from those who work with them. This role requires capability across the board to sustain all parts of the process equipment. This position will support the newly built Tesla Semi Factory.

Responsibilities
  • Work collaboratively with Facilities Maintenance, Design, Operations, Process Engineering and Controls and other cross functional teams as the expert to ensure factory's utility equipment run in a safe, efficient manner to minimize production downtime
  • Develop/Improve reliability requirements for design phase that includes full life cycle feedback
  • Develop/Improve Preventative Maintenance (PM) program by use of Criticality, FMEA, RCM tools to identify failure modes and the mitigations to insure minimal impact on production
  • Responsible for continuous process optimization based on Reliability requirements of the system/equipment
  • Support metrics that track field reliability performance
  • Perform data analysis to predict and curb failures before they occur
  • Become owner / subject matter expert to drive equipment-related process improvement including detailed troubleshooting and root cause analysis
  • Build training material, maintenance routines, service bulletins, one-point lessons and related documentation related to cradle to grave equipment life cycle management
  • Identify equipment critical spare parts and ensure sufficient coverage to prevent extended downtime situations
  • Provide hands-on support to maintenance team to troubleshoot and resolve extended downtime situations

Requirements
  • Degree in Mechanical, Electrical, or Industrial Engineering, or equivalent experience
  • Experience as an equipment engineer of facilities process systems/equipment or experience in design phase and or with utilities process systems (HVAC, Dry Air, Compressed air, Hydronics, Boilers etc.)
  • Working knowledge of TPM, RCM, FMEA and PdM programs
  • Experience in predictive maintenance technologies preferred (Vibration, Inferred, Ultrasound, oil analysis), Structured problems solving methodologies (DMAIC, 8D, etc.).
  • Able to work under intense time pressure in the presence of others
  • Experience with commissioning and start-up of facilities process systems/equipment preferred
  • CMRP OR ASQ CRE certifications preferred

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:
  • Aetna PPO and HSA plans > 2 medical 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 Account) HSA Contribution when enrolled in the High Deductible Aetna 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
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary 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
    Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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