Overview
On Site
USD 84,000.00 - 180,000.00 per year
Full Time
Skills
Energy
Collaboration
eXist
Issue Resolution
Cost Reduction
FOCUS
Materials Science
DFT
Physics
Mechanical Engineering
Thermodynamics
Prototyping
Manufacturing
Quality Management
FMEA
Lean Manufacturing
Testing
PPO
Payroll
Health Care
FSA
Finance
Apache Flex
Legal
Insurance
Job Details
The purpose of the Tesla Materials Engineering organization is to facilitate the Tesla mission of accelerating the world to sustainable energy via identification, development and insertion of advanced materials and processes while supporting other Tesla Engineering and Manufacturing functions with materials expertise. The team is seeking a Materials Design and Development Engineer to lead the design of novel alloys.
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:
Responsibilities
- Subject matter expert for integrated computational materials engineering (ICME) of materials at Tesla
- Collaboration with design engineering on optimized selection of ideal materials and processes
- Develop new materials, processing, characterization, validation, and specifications for current and future products when optimized solution does not exist
- Materials engineering support to drive issue resolution and cost savings
- Materials laboratory testing as-needed
Requirements
- Degree in Materials Engineering, with a strong focus on Integrated Computational Materials Engineering (ICME), or equivalent experience
- Practical experience working with material design and development using computational tools such as Calculation of Phase Diagrams (CALPHAD), density functional theory (DFT) and/or phase field methods
- Deep knowledge of process-structure-property relationships and manufacturing processes as it relates to computational tools
- Practical experience developing physics-based models to predict material properties and performance based upon processing and microstructure
- Strong knowledge in physical metallurgy, mechanical behavior of materials, thermodynamics, and phase transformations
- Experience in scale-up of material design prototypes to full-scale production
- Experience with robust manufacturing quality systems and qualification processes (PFMEA, lean manufacturing)
- Experience conducting material property testing and microstructural characterization
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
- 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.
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.