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职位Ford

Closures CAE Technical Specialist

Ford

Closures CAE Technical Specialist

Ford

Dearborn, MI, United States, US

·

On-site

·

Full-time

·

2mo ago

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.
Do you have what it takes to make smart vehicles for a smart world? Join the Ford Product Development team. Utilizing Design Thinking & User Experience methods, you’ll work to deliver breakthrough products and services that delight our customers. We’re seeking forward-thinking, laser-focused professionals with a passion for bringing innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to such advancements as autonomy, electrification, smart mobility technologies, and more!
What you’ll be able to do:
Closures CAE Technical Specialist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the Dearborn office. Hence, the employee must live within a reasonable commuting distance from Dearborn, MI. Lead the development or improvements of CAE methods to enhance virtual validation of forward model programs for all subsystem, system or vehicle level assessments of closures parts. Identify correlation issues between CAE analysis and physical test to close gaps. Mentor and train CAE engineers that report to the closures CAE application supervisor. Investigate root cause for quality issues on the field related to CAE escape points. Establish/Refine CAE targets for closures commodity taking into account connected vehicle data in regard to open/close cycles in a vehicle. Domestic and International Travel Required up to 10%.
You'll have...
Master’s degree or foreign equivalent in Mechanical Engineering or a related field and 10 years of experience in the job offered or a related occupation. 10 years of experience with each of the following skills is required: 1. Utilizing Abaqus, n Code, ANSA/Hypermesh, Ls-Dyna to analyze body-in-white/closures sub-systems, system or vehicle level assessments. 2. Performing failure analysis to identify physical test issues not predicted by CAE. 3. Closures/Body-in-white component/system level cross-functional attributes validation (Safety, durability, aerodynamics, NVH, and body structures). 4. Developing/Improving CAE methods to predict durability issues correlating to customer use cases. 5. Performing Linear, Non-Linear, Static and Dynamic Implicit or Explicit Analysis using Abaqus. 5 years of experience with each of the following skills is required: 1. Automotive assembly process, clearly understand source of manufacturing variability and noise factors that impact closures performance. 2. Using RSM (Response surface methodology), Least Squares Method, and Kriging to complement full factorial DOEs (Design of Experiments) for Monte Carlo CAE reliability-based assessments using RSM for faster computation. 4 years of experience with the following skill is required: 1. Translating design requirements into virtual CAE method that other CAE engineers can follow.
We are offering a salary of $125,362.00 - $208,669.08/yr.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all the above? No matter what you choose, we offer a work life that works for you, including:

  • Immediate medical, dental, and prescription drug coverage
  • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Vehicle discount program for employees and family members, and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day
  • Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here:
https://fordcareers.co/GSR-HTHD
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

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关于Ford

Ford

Ford

Public

The Ford Motor Company is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903.

10,001+

员工数

Dearborn

总部位置

$48B

企业估值

评价

3.3

10条评价

工作生活平衡

3.8

薪酬

3.5

企业文化

2.8

职业发展

2.2

管理层

2.5

45%

推荐给朋友

优点

Good benefits

Good work-life balance

Strong management support/respect

缺点

Poor/terrible management

Limited career growth opportunities

High turnover

薪资范围

21个数据点

Mid/L4

Senior/L5

Mid/L4 · ADAS Data Analytics Engineer

1份报告

$132,847

年薪总额

基本工资

$102,190

股票

-

奖金

-

$132,847

$132,847

面试经验

3次面试

难度

3.0

/ 5

时长

14-28周

体验

正面 0%

中性 67%

负面 33%

面试流程

1

Application Review

2

Phone Screening

3

Technical Interview

4

Team Interview

5

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Coding/Algorithm