Sr. Thermal Scientist​/Engineer, Product Integrity, Hardware - Product Integrity

Description

As a Sr. 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.

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:

- Establish temperature thresholds for device and component level considering reliability requirements and use conditions

- Apply domain scientific expertise towards developing innovative analysis and tests to study viability of concepts, materials or designs

- Evaluate and optimize thermal solution requirements of electronics products

- Use simulation tools like Star-CCM+ or Flo Therm XT/EFD for analysis and optimization of product design

- Validate design modifications for thermal concerns using simulation and actual prototypes

- Leverage 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

- Work closely with engineering teams to drive validation, optimization and implementation of hardware design or software algorithmic solutions to improve product and customer risks

- Design and execute of tests using statistical tools to validate analytical models, identify risks and assess design margins

- Track general business activity including device health in development phase and in field, and provide clear, compelling reports to management on a regular basis

- Develop and apply design guidelines based on project learnings

About the team

Amazon Lab
126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab
126 began in 2004 as a subsidiary of , Inc., originally creating the best-selling Kindle family of products. Since then, we have produced devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create?

Basic Qualifications

- PhD, or Master's degree and 7+ years of industry or academic research experience

- 7+ years of experience using CFD thermal simulation software in consumer electronics

- 7+ years of experience using Star-CCM+, Flo Therm XT/EFD or comparable tool

- 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)

Preferred Qualifications

- Demonstrated design experience with consumer electronics enclosure materials

- PhD in mechanical engineering or related field

- Creo Systems knowledge,

Experience with Matlab or other engineering tools for modeling systems

- Demonstrated experience with statistical analysis tools like JMP and Relia Soft

- This position may require international travel

- Experience in mentoring, leading and coaching

- 2+ years of experience of building machine learning models for business application

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County…