Staff Engineer

Job Description: About the Role Nextpower is seeking a Staff Reliability Engineer to build the quantitative foundation for reliability decisions across the product lifecycle. The role will focus on the early and late stages of new product development: translating operating missions and product architecture into reliability models and targets, then connecting test, manufacturing, warranty, and field evidence to a clear view of fleet performance and cost. In this role, you will work with Systems, Electrical, Mechanical, Power Electronics, Validation, Quality, Service, Product Management, Finance, and Data teams. Your analyses will help teams make design and launch decisions, understand uncertainty, identify emerging field risks, and feed operational learning back into future product requirements and architectures. Key Responsibilities Reliability Analytics and Modeling • Translate customer use conditions, service-life expectations, availability needs, and business objectives into measurable reliability requirements, metrics, assumptions, and evidence plans. • Develop and maintain product mission profiles that describe geography, ambient and internal conditions, operating states, duty cycles, load levels, and exposure over time; document data sources and uncertainty. • Build and maintain system and subsystem reliability models, including Reliability Block Diagrams and fault trees, to evaluate architecture, redundancy, dominant contributors, reliability allocations, and sensitivity to assumptions. • Develop component and system reliability predictions using applicable parts-count, parts-stress, supplier, test, and field evidence. Select methods appropriate to the available data and product maturity, and clearly state limitations. • Apply reliability statistics to life and event data, including Weibull and other life distributions, censored data, confidence bounds, accelerated-life relationships, reliability growth, and Bayesian updating where appropriate. • Integrate analytical outputs with DFMEA, architecture reviews, design trade studies, and development gates so that quantified risk informs design priorities and readiness decisions. Warranty and Field Reliability Analytics Develop and maintain a field reliability data model that connects product configuration and serial or cohort information with exposure, telemetry, service events, returns, failure analysis, and warranty claims. Define consistent metric definitions and denominators for field performance, including failure rate, cumulative failures, availability or downtime measures where applicable, and warranty incidence and cost. Analyze warranty, service, return, and field data to identify trends, shifts, recurring failure modes, affected populations, and emerging risks; quantify uncertainty and distinguish confirmed findings from hypothesis.