Job 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. Bachelor’s degree in engineering (mechanical, electrical, materials, etc.) or science with 3+ of industry experience Collaborative attitude and ability to cross-functionally work effectively Familiarity with failure analysis methodology to identify root cause Ability to make clear and concise slides/ presentations through Keynote, Excel, etc. Familiarity with tools such as Tableau for building dashboards Ability to travel internationally without restriction Demonstrate an unwavering passion for engineering products with exceptional reliability Master’s degree or PhD in engineering (mechanical, electrical, materials, etc.) or science (new college graduate) Statistical experience such as Weibull, JMP, or familiarity with accelerated test models 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 Experience in adopting emerging AI/ML tools to streamline workflow and identify opportunities for automation Excellent written and verbal communication skills for audiences ranging from technicians to senior executives 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 spirited collaboration between multidisciplinary teams of engineers and scientists to solve complex electromechanical / mechanical design challenges

Requirements

Must-haves

Bachelor’s degree in engineering (mechanical, electrical, materials, etc.) or science with 3+ of industry experience
Collaborative attitude and ability to cross-functionally work effectively
Familiarity with failure analysis methodology to identify root cause
Ability to make clear and concise slides/ presentations through Keynote, Excel, etc.
Familiarity with tools such as Tableau for building dashboards
Ability to travel internationally without restriction
Demonstrate an unwavering passion for engineering products with exceptional reliability
Master’s degree or PhD in engineering (mechanical, electrical, materials, etc.) or science (new college graduate)
Statistical experience such as Weibull, JMP, or familiarity with accelerated test models
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
Experience in adopting emerging AI/ML tools to streamline workflow and identify opportunities for automation
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonaiml

Platform: apple
Effort: medium