Overview
On Site
Full Time
Skills
Instructor-led Training
ILT
Online Training
Curriculum
Energy
Production Control
Training
OEE
Six Sigma
Test Plans
FMEA
Management
ROOT
Root Cause Analysis
Facilitation
Brainstorming
Lean Methodology
Design Of Experiments
Robotics
Programmable Logic Controller
Project Management
Leadership
Mentorship
Mechatronics
Manufacturing
Communication
PPO
Payroll
Health Care
FSA
Finance
Apache Flex
Legal
Insurance
Job Details
The PEAK (Professional Engineering Accelerated Knowledge) Program provides early career engineers with the opportunity to develop their engineering skills in a challenging, fast-paced, and impactful manufacturing or construction engineering role onsite at Tesla's Gigafactory Nevada. Throughout the program, you will develop either process, quality, construction, or equipment engineering skills to optimize & sustain either our highly advanced manufacturing equipment or our manufacturing facilities. You will embark on a transformative journey to make a real difference and elevate your engineering abilities.
Structure of the PEAK Program: The 6-month program will consist of the following components: Instructor-Led Training (ILT), Online Training (OLT), On-the-Job Training (OJT), and engineering projects. The training curriculum is based upon being a Quality Engineer, Process Engineer, Facilities Engineer, or Equipment Engineer on our Energy, Battery, Quality, Facility, or Production Control Engineering teams.
The PEAK program does not align you with a specialized occupation since you will be in a training program. Due to this, you will not be eligible for the H1B lottery, while you are in the program. If your university is aligned, you may be eligible to utilize your OPT during this year program.
Applications will close July 6th.
Responsibilities
Requirements
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:
Structure of the PEAK Program: The 6-month program will consist of the following components: Instructor-Led Training (ILT), Online Training (OLT), On-the-Job Training (OJT), and engineering projects. The training curriculum is based upon being a Quality Engineer, Process Engineer, Facilities Engineer, or Equipment Engineer on our Energy, Battery, Quality, Facility, or Production Control Engineering teams.
The PEAK program does not align you with a specialized occupation since you will be in a training program. Due to this, you will not be eligible for the H1B lottery, while you are in the program. If your university is aligned, you may be eligible to utilize your OPT during this year program.
Applications will close July 6th.
Responsibilities
- Learn Engineering Principles: Analyze and refine production processes to ensure safety while maximizing Overall Equipment Effectiveness (OEE) in cost effective means while driving to achieve quality levels aligned with Six Sigma (6?) principles, development of manufacturing requirements, quality standards and product quality plans to assure product will meet expectations of our target customer
- Support development of manufacturing equipment, controls and test plans to address risks identified in FMEA
- Manage and facilitate the root cause & corrective actions system through tracking and validation of issues and support in root cause analysis through facilitating brainstorming, use of lean methodologies, hypothesis testings, design of experiments, etc.
- Master Mechatronics: Troubleshoot and optimize Tesla's world-class manufacturing equipment through a variety of hands-on learning surrounding automation, including but not limited to Robotics, PLC, and Mechatronics labs
- Execute Engineering Projects: Using advanced project management and statistical techniques taught in this program, you will bring significant impact to your engineering team and present your results to factory leadership
Requirements
- Include resume with graduation year for fulltime availability (Must be available to start work onsite at Gigafactory Nevada in August 2025)
- Letter of recommendation from a mentor, professor, manager, or equivalent (Please include this letter with your resume, as application will only allow you to upload one document)
- Three examples of exceptional engineering ability from university projects, internships, work experience, hobbyist experience, or equivalent (Application will have a section for you to include this)
- Degree in Engineering, or equivalent experience
- Previous internship, academic or hobbyist experience in mechatronics, manufacturing, construction, and/or industrial automation projects
- Ability to work onsite at Gigafactory Nevada in a fast-paced, 24/7 environment, ability to stand and walk for up to 12 hours/day, including over varied and uneven terrain
- Exemplary verbal and written communication skills
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.