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Sr. Thermal Scientist/Engineer, Product Integrity, Hardware - Product Integrity
Bellevue, WA, USA
·
On-site
·
Full-time
·
1mo ago
Compensation
$150,400 - $150,400
Benefits & Perks
•Parental leave
•Professional development budget
•Generous paid time off and holidays
•Competitive salary and equity package
•Parental Leave
•Learning
•Equity
Required Skills
TypeScript
React
JavaScript
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+ or Flo Therm 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
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 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
- Experience in mentoring, leading and coaching
- 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
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 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
M3
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L2 · Product Designer L2
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$163,720
total / year
Base
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Stock
$81,860
Bonus
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$114,604
$212,836
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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