トレンド企業

Ford
Ford

Automotive manufacturer

Vehicle Dynamics CAE (Ford Performance)

職種エンジニアリング
経験ミドル級
勤務地Allen Park, MI, United States
勤務オンサイト
雇用正社員
掲載2ヶ月前
応募する

必須スキル

Python

If good is just never good enough for you, Ford Performance shares your passion for striving for perfection. We’re responsible for creating and developing high performance products and services which are best-in-class on road and off road. Help us drive excellence in capability, performance, and customer experiences on the track, in the dunes, on the rocks, and on road driving by architecting vehicle chassis capabilities that are first in the industry.

Ford Motor Company continues to grow and modernize production and motorsports vehicles for our customers seeking the ultimate capability and performance. In support of this effort, the Ford Performance team is looking for a Vehicle Dynamics CAE Engineer.

You’ll Have…

  • 5+ years of automotive CAE experience, with an emphasis on performance or racing vehicle design and modeling
  • 5+ years of experience using multi-body dynamics tools like ADAMS, ADAMS Car or similar software
  • 2+ years of experience using full vehicle parametric models like Car Sim
  • Proficiency in programming languages for data processing and tool automation (MATLAB, C+, Visual Basic, Python).

Even Better, If You Have...

  • Master’s or PhD in Mechanical Engineering with a focus on Vehicle Dynamics or Control Systems.
  • Deep understanding of tire force and moment generation, including experience with Pacejka or MF-Tyre models.
  • Participation in Formula SAE, Baja SAE, or professional motorsports engineering experience modeling active suspension systems, semi-active damping, or torque vectoring systems.
  • Hands-on experience developing vehicle models specifically for real-time DIL simulators (e.g., r Fpro, Cruden, Vi-Grade).
  • A personal passion for track driving or off-roading, with an ability to subjectively evaluate vehicle handling limits.

What You’ll Receive in Return...

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 of the above? No matter what you choose, we offer a work life
that works for you, including:

  • Immediate medical, dental, vision, and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized backup child care, and more
  • Family building benefits, including adoption and surrogacy expense reimbursement, fertility
    treatments, 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.

This position is at salary grade 6 and ranges from $72,480 to $ 121,440.

This position is at salary grade 7 and ranges from $84,480 to $ 141,360.

For more information on salary and benefits, click here: https://fordcareers.co/GSR

Visa sponsorship is not available for this position.

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.

This position is hybrid. Candidates within commuting distance of a Ford hub location may be required to
be on-site four or more days per week.

#FR1

What You’ll Do…

  • Utilize CAE tools and test results to support the delivery of the company’s high-performance cars and trucks with full vehicle and suspension system modeling
  • Utilize the CAE tools to support and direct efficient vehicle development and design processes – the CAE Group is a part of the Advanced Systems Engineering Group, defining new product suspension and chassis designs
  • Implement and refine existing CAE modeling tools, and, where necessary, develop new tools to improve performance, steering, handling, ride, and load predictions
  • Inform planned vehicle tests and interpret test results as part of the Vehicle Dynamics and Simulations team
  • Analyze full vehicle test data to create specific attribute targets and ensure hardware choices support those targets
  • Support the Full Vehicle Simulation Modeling work and simulator tool development at the FPTC full vehicle simulator and other off-site test locations 3-5 days per month

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Fordについて

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+

従業員数

Dearborn

本社所在地

$48B

企業価値

レビュー

10件のレビュー

3.7

10件のレビュー

ワークライフバランス

3.8

報酬

4.2

企業文化

3.5

キャリア

3.2

経営陣

2.8

68%

知人への推奨率

良い点

Good benefits and compensation

Work-life balance and flexibility

Supportive colleagues and positive environment

改善点

Poor management and communication

Limited career advancement

High workload and stress

給与レンジ

21件のデータ

Mid/L4

Senior/L5

Mid/L4 · ADAS Data Analytics Engineer

1件のレポート

$132,847

年収総額

基本給

$102,190

ストック

-

ボーナス

-

$132,847

$132,847

面接レビュー

レビュー3件

難易度

3.0

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 67%

ネガティブ 33%

面接プロセス

1

Application Review

2

Phone Screening

3

Technical Interview

4

Team Interview

5

Offer

よくある質問

Technical Knowledge

Behavioral/STAR

Past Experience

Coding/Algorithm