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Senior Reliability Engineer

External
WHOOP logoWhoop · Boston, MA
Full-timeOn-site2w ago
Statistical Analysis
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Responsibilities

  • Own and drive reliability strategy across New Product Introduction (NPI), in-market monitoring (ORT/ Field Reliability), and continuous improvement initiatives, ensuring alignment with program risk and launch readiness
  • Define reliability requirements, targets, and validation strategies (e.g., DVT success criteria, AFR targets), ensuring products meet predictable launch outcomes and achieve reliability within defined thresholds
  • Identify, assess, and mitigate reliability risks early through structured methodologies (DFMEA, HALT, accelerated testing), achieving high coverage of critical failure modes prior to launch
  • Translate use cases and field conditions into system-level test strategy and execution plans (Test Protocols), ensuring no major unknown failure modes escape into market
  • Analyze reliability data to generate actionable insights (AFR, CoUR, TWR), influencing cross-functional decisions across design, manufacturing, and supply chain
  • Lead root cause investigations and corrective actions for test and field failures, driving resolution of top issues and enabling sustained product performance without regression
  • Partner with internal teams and external suppliers to standardize reliability practices, scale test capabilities, and ensure consistent execution across global partners

Requirements

  • 8+ years of experience successfully applying Design for Reliability (DfR) principles, preferably in high-volume consumer electronics or wearable/medical device environments
  • Bachelor's or Master's degree in Mechanical Engineering, Materials Science, Reliability Engineering, or a related field
  • Strong understanding of reliability principles across electro-mechanical systems, including failure mechanisms in materials, components, and assemblies
  • Experience defining and executing reliability test strategies (HALT, HASS, ALT) and translating results into product and business decisions
  • Proficiency in statistical analysis, reliability modeling, and structured problem-solving methodologies for root cause identification
  • Demonstrated ability to influence cross-functional teams and drive alignment on risk-based decisions in fast-paced development environments
  • Experience working with global suppliers and manufacturing partners to improve product reliability and test consistency
  • Strong communication skills with the ability to clearly convey complex technical insights to diverse audiences
  • Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions
  • ASQ Certified Reliability Engineer (CRE) certification preferred

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