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Thermal Scientist/Engineer, Product Integrity

External
Amazon.com Services LLC logoAmazon.com · Bellevue, WA
Full-timeOn-site1w ago
PythonAWSMachine Learning
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About the role

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?

Requirements

  • PhD in mechanical engineering, electrical engineering, material science, physics or equivalent, or Master's degree
  • 3+ years of experience using CFD thermal simulation software in consumer electronics
  • 3+ years of experience using Star-CCM/FloTherm XT/EFD or comparable tool in consumer electronics
  • Experience using geometric tolerances and statistical tolerance analysis techniques
  • Use of programming languages like Python and Matlab for analytical/statistical analyses and automation
  • 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 building machine learning models for business application experience
  • 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 ReliaSoft
  • This position may require international travel
  • Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
  • Our inclusive culture em
  • Have intimate knowledge of various materials and heat spreaders solutions to resolve thermal issues
  • Collaborate as part of device team to iterate and optimize design parameters of enclosures and structural parts to establish and deliver project performance objectives
  • Design and execute of tests using statistical tools to validate analytical models, identify risks and assess design margins
  • Create and present analytical and experimental results
  • Develop and apply design guidelines based on project learnings

Additional Information

As a Applied Scientist, you will be responsible for assessing and optimizing the thermal performance of our new and emerging category of devices - Amazon Leo customer terminals. AMZ Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to un-served and under-served communities around the world. You will be working with a unique and gifted team developing exciting products for consumers. The team is a multidisciplinary group of engineers and scientists engaged in a fast paced mission to deliver new products. The team faces a challenging task of balancing cost, schedule, and performance requirements. You should be comfortable collaborating in a fast-paced and often uncertain environment, and contributing to innovative solutions, while demonstrating leadership, technical competence, and meticulousness. 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 job responsibilities In this role, you will: - 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 spreaders solutions to resolve thermal issues - Use of programming languages like Python and Matlab for analytical/statistical analyses and automation - Collaborate as part of device team to iterate and optimize design parameters of enclosures and structural parts to establish and deliver project performance objectives - Design and execute of tests using statistical tools to validate analytical models, identify risks and assess design margins - Create and present analytical and experimental results - Develop and apply design guidelines based on project learnings


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