NotionRemote · San Francisco, California$230k-$270kjust now
AmazonPosted 3mo ago
Sr. Thermal Scientist, Hardware - Product Integrity at Amazon scores 31 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
CN, 31, Shanghaiseniorfull-time
AI in this role
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
* Evaluate and optimize thermal solution requirements of consumer electronic products
* Use simulation tools like Star-CCM+ or 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
Basic qualifications
- Master's degree in mechanical engineering, electrical engineering, material science, physics or equivalent, or PhD
- 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)
- Good English communication skills
Preferred qualifications
- Experience in mentoring, leading and coaching
- 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 systems
- Demonstrated experience with statistical analysis tools like JMP and ReliaSoft
- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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