Lead reliability strategy and testing for hardware products from NPI through field performance. Drive risk mitigation, statistical analysis, and cross-functional alignment to ensure predictable launches and sustained product quality.
Salary not listed
On-site8+ YOEHardware Engineering
About the role
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
Qualifications
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
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