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Sr. Power Controls Engineer, Amazon Leo

Amazon

Sr. Power Controls Engineer, Amazon Leo

Amazon

Redmond, WA, USA

·

On-site

·

Full-time

·

1mo ago

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

Amazon

Public

Amazon.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