The Lead Reliability Engineer develops the methods and measures utilized for reliability analysis based on product specifications, tolerances, or operating standards. Analyzes and evaluates the reliability of products, equipment, components, and processes using engineering methodologies and tools. Being a Lead Reliability Engineer oversees testing activities and reviews results. Utilizes analysis techniques like FMEA, fault tree, and root cause analysis to identify problems. In addition, Lead Reliability Engineer creates risk-based failure mitigation plans. Proposes new or revised product designs, manufacturing processes and testing specifications that utilize best practices and will increase reliability. Requires a bachelor's degree in engineering. Typically reports to an engineering manager. Being a Lead Reliability Engineer works autonomously. Goals are generally communicated in "solution" or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Working as a Lead Reliability Engineer typically requires 10+ years of related experience.
The Principal AI Engineer ensures the scalability, reliability, and performance of AI systems. Designs and develops scalable solutions using AI tools and machine-learning models. Being a Principal AI Engineer performs research and testing to develop machine learning algorithms and predictive models. Develops and executes performance tests on AI systems to measure their efficiency in handling large amounts of data, complex algorithms, and processing speeds to ensure optimal performance. In addition, Principal AI Engineer utilizes big data computation and storage tools to create prototypes and datasets. Conducts model training and evaluation. Integrates, tests, tunes, and monitors solutions. Proficient in big data tools, cloud platforms, multiple AI tools such as Python, Java, or R, and machine learning frameworks like Spark, TensorFlow, or scikit-learn. Requires a bachelor's degree in computer science or related degree. Typically reports to a manager. Being a Principal AI Engineer work is highly independent. May assume a team lead role for the work group. A specialist on complex technical and business matters. Working as a Principal AI Engineer typically requires 7+ years of related experience.
The Specialist Reliability Engineer develops the methods and measures of analysis based on customer and contractual obligations. Analyzes the reliability in design, cost, weight, production and consumer satisfaction of company products. Being a Specialist Reliability Engineer performs follow-up investigation to determine product design flaws. Prepares reports, charts and diagrams to disclose results and highlight areas for further investigation. In addition, Specialist Reliability Engineer may require a bachelor's degree in area of specialty. Typically reports to a manager or head of a unit/department. Working as a Specialist Reliability Engineer typically requires 7+ years of related experience. A specialist on complex technical and business matters. Work is highly independent. May assume a team lead role for the work group.
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