Senior Hardware Reliability Engineer
Aalo Atomics is pioneering a new era in clean energy with factory-fabricated microreactors designed to deliver affordable, scalable, and reliable nuclear power. Our mission is to make nuclear energy globally accessible, starting with the Aalo-1, a 10 MWe reactor leveraging cutting-edge safety, modularity, and efficiency. Based in Austin, TX, we’re rapidly growing as we work to deploy the world’s first fleet of advanced microreactors. Join us and help revolutionize energy for a sustainable future.
About the role
Aalo is seeking a Senior Reliability Engineer to lead reliability engineering across components, subsystems, and modular assemblies—establishing the analytical and experimental basis for reliability estimates, identifying critical failure modes, and helping teams translate requirements into robust designs and verification plans. A key responsibility is reviewing and developing experiments for reliability estimation, including assessing sample sizes, test conditions, statistical models, and acceptance criteria, and developing strategies such as accelerated-life, degradation, and system-level testing. This hands-on, cross-functional role requires rigorous statistical judgment and close collaboration with design, test, manufacturing, quality, safety, and systems engineering teams.
Responsibilities
- Reliability Program Development & Application: Own and advance Aalo's reliability engineering methods for components, subsystems, and modular assemblies.
- Develop reliability requirements, allocations, predictions, and verification strategies throughout the product lifecycle.
- Select and apply appropriate statistical models, such as Weibull and lognormal life models, survival analysis, Bayesian methods, reliability growth models, and physics-of-failure approaches.
- Develop statistically defensible approaches for estimating reliability when test articles, time, or failure data are limited.
- Analyze test and field data to estimate failure rates, life distributions, confidence intervals, and uncertainty.
- Combine test evidence, analysis, supplier data, operating experience, and engineering judgment into traceable reliability estimates.
- Design Of Experiments Review & Execution: Review or develop designs