Thermal Scientist, Product Integrity

1 settimana fa


Pisa, Italia Amazon A tempo pieno

Job ID: | Amazon Development Centre (India) Private Limited Your deliverables will include development of thermal solutions, concept design, feature development, product architecture and system validation through to manufacturing release. You will support creative developments through application of analysis and testing of complex electronic assemblies using advanced simulation and experimentation tools and techniques. Key Responsibilities Evaluate and optimize thermal solution requirements of consumer electronic products Use simulation tools like Star CCM/FloTherm XT/EFD for analysis and design of products Validate design modifications for thermal concerns using simulation and actual prototypes Establish temperature thresholds for user comfort level and component level considering reliability requirements Have intimate knowledge of various materials and heat spreader solutions to resolve thermal issues Use programming languages like Python and Matlab for analytical/statistical analyses and automation Collaborate as part of the device team to iterate and optimize design parameters of enclosures and structural parts to establish and deliver project performance objectives Design and execute tests using statistical tools to validate analytical models,Grpc to identify risks and assess design margins Create and present analytical and experimental results Develop and apply design guidelines based on project learnings About the team Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced innovative devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create? Basic Qualifications PhD or Masters in mechanical engineering or related field 3+ years of experience using Star Back-CCM/FloTherm XT/EFD or comparable tool in consumer electronics Experience using geometric tolerances and statistical tolerance analysis techniques Experience in manufacturing processes such as injection molding, sheet metal forming and die casting, Design for Manufacturability (DFM) and Design for Assembly (DFA) 2+ years of experience of building machine learning models for business application Experience programming in Java, C++, Python or related language Preferred Qualifications Demonstrated design experience with consumer electronics enclosure materials Creo Systems knowledge, Experience with Matlab or other engineering tools for modeling dynamic systems Demonstrated experience with statistical analysis tools like JMP and ReliaSo Demonstrated leadership and mentoring skills This position may require international travel Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr


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