Rhoda AI Senior Hardware Reliability Engineer responsible for defining mission profiles and accelerated test plans to ensure hardware reliability. Partner with cross-discipline engineers to drive design improvements and reliability analysis.
Responsibilities
Mission Profile Decomposition: Decompose platform and subsystem requirements into mission profiles — duty cycles, load spectra, environmental exposure — that define what “real-world use” means for each hardware discipline.
Accelerated Test Planning: Translate mission profiles into accelerated test plans: acceleration factors, sample sizes, and pass/fail criteria for HALT/HASS, thermal cycling, vibration, and fatigue campaigns, rather than only interpreting results after tests are run.
Failure Mode Analysis: Build and maintain FMEA/FMECA analyses for critical subsystems, and drive design changes that eliminate failure modes before they reach hardware.
Quantitative Reliability Modeling: Apply quantitative reliability methods (Weibull analysis, MTBF/MTTF, censored-data survival analysis, physics-of-failure acceleration models) to test and field data to predict and track reliability over time.
Cross-Discipline Partnership: Partner with actuator, electrical, and structures test and design engineers to turn mission profiles into test-stand requirements, and to close the loop from test failure to root cause to design fix.
Reliability Data Infrastructure: Build the reliability program's data infrastructure and reporting so the organization can track reliability trends and revisit mission-profile assumptions as the platform scales from prototype to production.
What You'll Bring
Education: Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, Reliability Engineering, or a related field.
Experience: 5+ years in reliability engineering, with demonstrated ownership of mission profile development and accelerated test design.
Mission Profile Development: Experience developing mission profiles or usage/environmental duty-cycle models from product requirements, and using them to define accelerated test plans.
Acceleration Models: Working knowledge of acceleration models (Arrhenius, Coffin-Manson, inverse power law, or similar) used to translate mission profiles into lab test parameters.
Quantitative Methods: Hands-on experience with FMEA/FMECA, Weibull analysis, and MTBF/MTTF modeling.
Qualification
Industry BackgroundFounding Program ExperienceElectronics ReliabilityField DataTooling
Required
Industry Background: Experience in automotive, EV, robotics, semiconductor, or consumer electronics reliability engineering.
Founding Program Experience: Experience standing up a reliability program or reliability requirements from scratch on an early-stage or prototype-phase product.
Electronics Reliability: Familiarity with low-voltage electronics, sensor, and power-electronics reliability, in addition to mechanical/structural fatigue and durability.
Field Data: Experience with field-reliability or warranty data analysis in addition to lab-based accelerated testing.
Tooling: Experience scripting or building tooling (Python or similar) for reliability data analysis and reporting.
