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Benefits & Perks
•Parental leave
•401(k) matching
•Competitive salary and equity package
•Team events and activities
•Professional development budget
•Flexible work arrangements
•Parental Leave
•Equity
•Learning
•Flexible Hours
Required Skills
Node.js
JavaScript
PostgreSQL
Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.
Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
We are seeking an experienced Power Controls Engineer to join the satellite power systems team. You will be responsible to develop models and state estimation algorithms for satellite power system including solar arrays, power conversion, and energy storage.
You will work closely with a world-class team of engineers and business leaders to build/integrate models for satellite power system including battery model (equivalent-circuit, aging, physics-based) and solar array degradation model. You will also work on state estimation algorithms such as battery state of charge, battery state of health, and state of power of a battery which can be deployed on embedded or cloud platforms. You will be responsible for overall modeling & algorithm design, deployment, and test verification.
You will work with large datasets to evaluate health of battery over life and track accuracy of models and performance of system to vehicle requirements. You will also work on development and implementation of power system fault detection and mitigation.
- Key job responsibilities
- Develop and integrate battery models (equivalent-circuit, aging, physics-based)
- Develop, deploy, and verify state estimation algorithms such as battery state of charge, battery state of health, and state of power of a battery.
- Develop and integrate power system models including solar arrays, power conversion, and energy storage.
- Develop and implement satellite power system fault detection and mitigation.
Basic Qualifications
- Bachelor's degree in a related field
- 5+ years experience in simulation, modeling, and state estimation for lithium ion battery packs.
- 2+ years experience and working knowledge of Matlab or Python to extract, process, and store information from large datasets.
Preferred Qualifications
- Battery management system design experience in the area of charging, state estimation, and protection for electric vehicle, drones, satellite, or launch vehicles. Experience developing equivalent circuit, aging or physics based models for lithium-ion battery systems.
- Experience developing degradation models for solar arrays and use event based measurements to estimation degradation.
- Experience driving requirements for power/battery algorithm design and implementation of state of charge/health/power algorithms in software (embedded or cloud).
- Excellent skill at organizing data and communicating key requirements to hardware, software, and test verification team.
- Experience in developing power system fault detection and mitigation.
- Experience in full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience. General knowledge of statistical analysis, signal processing, simulations, regression, optimization, and data analysis tools.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Redmond - 151,200.00 - 204,600.00 USD annually
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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
L2 · Data Analyst L2
0 reports
$108,330
total / 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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