Jobs
Employer: Annapurna Labs (U.S.) Inc.
Position: ASIC II AMZ25487.3
Location: Austin, TX
Multiple Positions Available:
- Develop detailed CFD and compact RC models for So
C and Package:
thermal analysis
2. Knowledge of hardware and software based thermal / power
management control algorithms
3. Optimize air and liquid cooled thermal solutions under PPA and
system design constraints
4. Simulate and prototype thermal control strategies
5. Validate thermal models through power/thermal measurements on
Hardware
6. Responsible for the design and optimization of hardware for largescale data center deployment including rack level integration, liquidcooling facility integration and serviceability
7. Identify, design, test and integrate new thermal-mechanical
technologies for large-scale server deployments to deliver a world
class customer experience.
8. Own thermal-mechanical design from the lowest levels of chip SOC
design to rack assembly and see those systems all the way through
to high volume manufacturing.
9. Domestic or international travel up to 25% to perform role
responsibilities may be required
(40 hours / week, 8:00am-5:00pm, Salary Range $141586 - $184000)
Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Basic Qualifications
Master’s degree or foreign equivalent degree in Mechanical Engineering, Thermal Engineering, or a related discipline and 3 years of experience in the job offered or a related occupation in mechanical engineering, thermal engineering or related. In the alternative, employer will accept a Bachelor’s degree or foreign equivalent degree in Mechanical Engineering, Thermal Engineering, or a related discipline followed by 5 years of progressively responsible post-baccalaureate experience in the job offered or a related occupation in mechanical engineering, thermal engineering or related. Experience must include:
- 3 years of experience in Mechanical and Thermal design of both air and liquid cooled electronic Systems
- 3 years of experience in thermal and performance measurements and characterization on So Cs, Servers, and Systems
- 3 years of experience with SoC thermal/mechanical design methodology, power modeling and thermal analysis techniques
- 3 years of experience with programming languages: Python, C++, and working in Linux environment .
Preferred Qualifications
All applicants must meet all the above listed requirements.
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.
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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
$1.5T
Valuation
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
4 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total per year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
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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