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We are seeking a highly motivated and detail-oriented FEA & Material Engineer to join our team. Reporting directly to the Trial Specialist, this role is critical in providing comprehensive technical support and coordination for various material and process trials. The successful candidate will be instrumental in evaluating trial proposals, assessing part suitability, and the effect of the trial on production. This role seeks a candidate with strong hands-on experience as well as FEA skills.
Qualifications:
- Education: Associate's degree in Engineering (e.g., Mechanical Engineering, Materials Science, Manufacturing Engineering) or a related technical field.
- Experience: 3+ years of experience in an engineering role, preferably within an automotive manufacturing or R&D environment.
- Technical Acumen: Demonstrated understanding of manufacturing processes, material properties, and testing methodologies related to FEA, hemming, and joining.
- Analytical Skills: Strong analytical and problem-solving skills with the ability to evaluate complex technical data and proposals.
- Communication: Excellent verbal and written communication skills, with the ability to effectively communicate technical information to diverse audiences.
- Interpersonal Skills: Proven ability to collaborate effectively with cross-functional teams and build strong working relationships.
- Organizational Skills: Highly organized with strong project coordination and time management abilities.
- Travel: Ability to travel to various stamping facilities as required (monthly or bi-weekly).
Preferred Qualifications:
- Bachelor degree in Engineering (e.g., Mechanical Engineering, Materials Science, Manufacturing Engineering) or a related technical field.
- Experience with FEA tools for Stamping Formability assessments
- Experience with quality tools such as Argus
- Knowledge of Ford's product development and manufacturing processes.
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 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 back-up 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 a salary grade 5 – 8 and ranges from $65,100-$166,100.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
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 who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
Key Responsibilities:
- Technical Support: Serve as a primary technical resource regarding running FEA’s and assessing the effects of material changes on parts.
- Trial Proposal Evaluation: Conduct thorough evaluations of trial proposals, specifically focusing on aspects such as stamping formability, strain, wrinkling, and process effects.
- Part Suitability Assessment: Critically assess parts for their suitability in proposed trials, ensuring alignment with trial objectives and minimizing potential risks.
- Trial Optimization & Planning: Work in teams to develop strategic plans and guide part selection to minimize the number of required trials while ensuring comprehensive data collection and validation.
- Cross-Functional Interface: Act as a key interface and technical liaison between Product Development (PD), Research & Innovation Center (RIC), Materials Engineering, Paint, and Supplier Technical Assistance (STA) teams to gather necessary technical support and insights.
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Fordについて

Ford
PublicThe 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
3.3
10件のレビュー
ワークライフバランス
3.8
報酬
3.5
企業文化
2.7
キャリア
2.2
経営陣
2.4
45%
友人に勧める
良い点
Good benefits
Decent work-life balance
Remote work flexibility
改善点
Poor management quality
Limited career growth opportunities
High turnover rates
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
面接体験
3件の面接
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
ニュース&話題
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1d ago
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