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Design Assurance Engineer - Fe

Ford

Design Assurance Engineer - Fe

Ford

Naucalpan de Juarez, MEX, Mexico, MX

·

On-site

·

Full-time

·

2w ago

As a Design Assurance DFMEA Engineer, you will enable stronger product robustness and help prevent issue recurrence by coaching cross-functional program teams on DFMEA development, feature/system concern closure, and evidence-based control strategies. You will help teams translate lessons learned and chronic concerns into actionable DFMEA content, verify that requirements and test plans appropriately control risk, and accelerate closure of Feature Safety/Concern (S/C) and PAC-related work.

This role is based at the GTBC building with an expectation of being on-site at least 4 days per week.

  • Experience leading cross-functional teams.
  • Working knowledge of DFMEA best practices, including cause-effect relationships, severity/occurrence/detection thinking, and linkage to controls and verification
  • Ability to review and challenge requirements and test plans to ensure they control the risk described in the DFMEA
  • Familiarity with issue-prevention / recurrence-prevention methods (e.g., corrective action systems, lessons learned, concern tracking and closure discipline)
  • Comfort using (or willingness to learn) AI-assisted tools for engineering documentation review and quality workflows (DFMEA and SCCAF/SCCP reviews)
  • Strong collaboration, facilitation, and coaching skills—able to influence without relying solely on formal authority
  • Ability to manage multiple deliverables across programs and meet milestone-driven timing

DISCLAIMER:
Ford Motor Company is an Equal Opportunity Employer, as we are committed with a diverse workforce, and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran and basis of disability.

Drive DFMEA development (using Magic Draw)

  • Partner with program teams to establish and execute an FMA plan covering: New technology introductions

  • Chronic concerns / lessons learned

  • Concerns/parts in the top quartile of 3MIS (as applicable)

  • Support application/Core DFMEA development across assigned programs

  • Review DFMEAs and provide clear guidance on updates needed to improve risk identification, cause-to-control alignment, and completeness

  • Apply AI-enabled methods to strengthen quality work products

  • Use approved AI tools to support: DFMEA drafting, review, and consistency checks

  • SCCAF/SCCP reviews (as applicable to the business process)

  • Improve speed and quality of DFMEA and control-plan-related reviews while maintaining engineering judgment and process compliance

  • Ensure requirements and verification align to risk

  • Review requirements and test content identified in DFMEAs to confirm they: Appropriately control the causes identified

  • Close gaps in detection/prevention

  • Reflect realistic and measurable verification strategies

  • Ensure Additional DFMEA tools are updated Review Boundary Diagrams, CPA’s, RCL’s: Appropriately identify and communicate any gaps

  • RCL’s close gaps in detection/prevention/Noise Factors to obtain required useful lives

  • Reflect realistic and measurable verification strategies

  • Prevent recurrence and drive closure discipline

Progress North America Feature S/C PAC papers to closed/pending within defined targets and to closed status within established timeframes

  • Drive closure of assigned Feature NA PAC papers within target timing

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About 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+

Employees

Naucalpan de Juarez

Headquarters

$48B

Valuation

Reviews

3.4

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.9

Management

2.3

45%

Recommend to a Friend

Pros

Good pay and benefits

Decent work-life balance options

Learning and advancement opportunities

Cons

Poor management and favoritism

Mandatory overtime and exhausting schedules

Limited growth opportunities

Salary Ranges

36 data points

Mid/L4

Senior/L5

Mid/L4 · ADAS Data Analytics Engineer

1 reports

$132,847

total / year

Base

$102,190

Stock

-

Bonus

-

$132,847

$132,847

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

40%

Experience

Positive 40%

Neutral 40%

Negative 20%

Interview Process

1

Phone Screen

2

Technical Interview

3

Behavioral Interview

4

Final Round Interview

Common Questions

Behavioral

Technical

Assessment