manual assembly into scalable, automated solutions. Build, test, and optimize automation machines-from CAD and prototyping to troubleshooting on the production floor. Lead refinement of legacy automation systems using statisticalanalysis, DOE methodologies, and production feedback. Work with software, firmware, and data science teams to integrate computer vision and machine learning into real-world production workflows. Requirements Prior More ❯
equipment for measuring product features and advises on new test equipment purchases. Develops coverage and process plans for outsourced testing, defining reporting formats for external partners. Uses data and statistical analyses to identify complex problems or flaws affecting product design changes, and proposes solutions. Qualifications Required Qualifications: Bachelor's Degree in Electrical Engineering, Computer Engineering, Applied Science, Mechanical Engineering More ❯
be included in relevant hardware designs by applying an understanding of how moderately complex features or products work under a variety of customer scenarios. - Develops and implement data and statistical frameworks using programming language and relational database structures to manage products, identifying complex problems or flaws that may affect a feature or product design change. - Identifies possible solutions and … brings them to the attention of other engineers or team leads, managing product changes through change requests. - Uses root cause analysis to identify complex problems or flaws that may affect a feature or product design change. Identifies possible solutions and brings them to the attention of other engineers or team leads. - Contributes input to a single project implementation schedule … . - Identifies opportunities to affect downstream execution of projects by resolving issues and implementing design tradeoffs within scope (e.g., performance vs. reliability and manufacturing concerns). - Uses data and statistical analyses to make recommendations to optimize existing processes, or creates new processes that can be used by own team. Identifies common project risks (e.g., external supplier or partner delays More ❯
