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Engineering Manager- Design Reliability

Job in Rochester Hills, Oakland County, Michigan, USA
Listing for: Flint Hills Resources
Full Time position
Listed on 2026-09-26
Job specializations:
  • Engineering
    Quality Engineering, Test Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 190000 USD Yearly USD 120000.00 190000.00 YEAR
Job Description & How to Apply Below

Engineering Manager
- Design for Reliability

We're establishing and scaling our Design for Reliability (DfR) capability, and we're looking for an engineering leader to lead that growth from the front. You'll grow and mentor a regional team, shape how reliability is engineered into our products, and pioneer the use of AI and data analytics to make validation faster, smarter, and more predictive. Operating across divisions, you'll be the regional face of reliability, building credibility with our business partners and confidence with our global customers.

A central part of the mission: standardizing how we validate products at the industry level (starting with Automotive), working directly with customers to align on expectations and test strategies. If you want real scope, visible impact, and the chance to define a function rather than inherit one, this is it.

Key Responsibilities

Own the regional reliability strategy and validation process across the product lifecycle, embedding DfR early to drive reliability by design rather than test-and-fix, keeping efforts risk-based and focused on relevant failure modes rather than following a testing checklist.

Build, mentor, and lead a regional team of DfR engineers across multiple sites and divisions, establishing consistent methods, tools, and competency standards.

Standardize validation approaches at the product-industry level (e.g., Automotive) for consistency in methods, coverage, and acceptance criteria across programs and customers.

Drive reliability methodologies (physics-of-failure, accelerated life testing, design margin analysis, FMEA/DFMEA, statistical modeling) and drive root-cause analysis and corrective action.

Lead the adoption of AI and data analytics by capturing, structuring, and analyzing reliability data across labs and programs to advance reliability prediction, optimize testing, accelerate validation, and enable continuous learning.

Partner with divisional engineering
, quality, and program leadership to integrate DfR into design and program milestones, acting as the regional voice of reliability and engage customers to align on reliability expectations, acceptance criteria, and test strategies, balancing technical rigor with time-to-market.

Partner with the reliability test labs to execute test programs, accelerated life, environmental and mechanical stress, and failure analysis feeding lab data back into design decisions and closing capability gaps.

Integrate manufacturing process capability
, supplier and component qualification, and field reliability learning into validation strategy and design decisions, and support critical business decisions and reliability risk at product launch, manufacturing quality spills, and potential warranty/field issues.

Qualifications Required Bachelor's or Master's in Engineering(Mechanical, Electrical, Materials, or related). 8+ years in reliability, validation, or design engineering, including 3+ years in a leadership or people-management role. Expertise in DfR methodologies, reliability validation, and accelerated/life testing, with hands-on experience planning and executing programs with reliability or test labs.

Proven experience engaging and negotiating with customer son test and validation strategy. Demonstrated ability to work across and influence design, manufacturing, quality, supplier, and lab organization sin a matrixed global environment, including leading cross-functional risk reviews and informing product and launch decisions based on reliability evidence. Strong communication skills in English (written and spoken), including the ability to present technical reliability risk to customers and senior leadership.

Preferred

Strong working knowledge of reliability statistics (life data…

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