Back to search
Description
In this role you’ll be working cross-functionally with product design, electrical, quality and manufacturing teams to develop and apply advanced reliability test methods, perform failure analysis, run risk assessments and contribute to data automation. Your impact will be felt across the product lifecycle—from early concept to mass production—helping us ship products that exceed user expectations for quality and reliability.
Minimum Qualifications
Bachelor’s degree in engineering (mechanical, electrical, materials, etc.) or science + 3 years industry experience Statistical experience such as Weibull, JMP, or familiarity with accelerated test models Familiarity with Failure Analysis techniques (Optical Microscopy, X-ray/CT, Scanning Electron Microscopy/Energy Dispersive Spectroscopy, etc.), and the ability to use failure analysis methodology to derive a root cause of failure Experience in adopting emerging AI/ML tools to streamline workflow and identify opportunities for automation Ability to travel internationally without restriction for up to 25% of the year
Preferred Qualifications
Master’s degree or PhD in engineering (mechanical, electrical, materials, etc.) or science (new college graduate) or Bachelor’s degree with 3 years of experience in an engineering role Collaborative attitude and ability to cross-functionally work effectively Demonstrate an unwavering passion for engineering products with exceptional reliability Excel at building and maintaining reliability data dashboards on Tableau that drive informed decision making Proficient in using Python, R or other languages to for extracting data and performing reliability analysis Excellent written and verbal communication skills for audiences ranging from technicians to senior executives Experience in spirited collaboration between multidisciplinary teams of engineers and scientists to solve complex electromechanical / mechanical design challenges
Learn more about this Employer on their Career Site
