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

Amazon • Sunnyvale, CA

4d

About The Position

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.

Requirements

• 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+, FloTherm 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)

Nice To Haves

• 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 ReliaSoft
• This position may require international travel
• Experience in mentoring, leading and coaching
• 2+ years of experience of building machine learning models for business application

Responsibilities

• 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 FloTherm 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

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree