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Sr. Battery System Engineer, Battery Management System

Amazon

Sr. Battery System Engineer, Battery Management System

Amazon

Shenzhen, 44, CHN

·

On-site

·

Full-time

·

2w ago

Shape the Future of Battery Technology in Devices Used by Millions

Do you want to architect the power behind the next generation of Amazon's most iconic consumer electronics?

Amazon Lab126 is seeking a Senior Hardware Electrical Engineer to join our Battery Management System (BMS) team—where you'll own the complete lifecycle of battery architecture that powers devices like Echo, Fire tablets, Kindle, and Alexa-enabled robots used by customers worldwide.

Your Impact:
As the technical owner of end-to-end BMS architecture, you'll drive innovation from the earliest concept phases through high-volume production. You'll translate real customer needs into cutting-edge electrical designs that balance runtime performance, safety, and cost—making critical decisions on IC component selection, circuit design, and firmware/software integration that directly impact millions of users' daily experiences.

What Makes This Role Unique:

This isn't just electrical design—it's solving complex, multidisciplinary challenges at the intersection of hardware, firmware, algorithms, and battery engineering. You'll partner with global teams across battery chemistry experts, silicon vendors, cell and pack vendors, and contract manufacturers to push the boundaries of what's possible in battery technology. From conducting failure analysis on field returns to creating hardware models for next-generation battery algorithms, you'll gain unparalleled breadth while deepening your expertise in battery management system.

Your Mission:

  • Architect from scratch: Define BMS requirements and electrical designs for multiple products simultaneously, from early prototypes to mass production
  • Ensure performance and safety: Conduct rigorous PCB reviews, DFMEA assessments, and testing to identify and eliminate potential hazards before they reach customers
  • Solve real-world problems: Dive deep into NPI and field issues, perform root cause analysis, and apply lessons learned to prevent future failures
  • Collaborate globally: Work with cell/pack vendors, silicon partners, and cross-functional teams spanning the US and China to deliver world-class battery solutions

Join a team of subject matter experts who are passionate about battery technology and committed to powering the devices that delight customers every day. If you thrive on technical challenges, love working across disciplines, and want your work to have tangible impact at global scale—this is your opportunity.

Basic Qualifications

  • Bachelor's degree in Electrical Engineering or a related field
  • 5+ years of experience with battery system design or power electronics
  • Experience with battery pack design, BMS ICs (fuel gauge, protection, charger ICs), chip evaluation, and integration of Li-ion/Li-polymer systems
  • Proficiency in schematic design, PCB layout review, and design-for-manufacturing (DFM) for high-volume products
  • Hands-on experience troubleshooting issues in ICs, system designs, and hardware-firmware interactions.
  • Experience in developing test plans for execution at oversea vendors
  • Experience with root cause analysis and failure analysis for NPI or field-return issues
  • Ability to communicate clearly with global multidisciplinary teams.
  • Working knowledge of battery safety standards (e.g., UL 2054, IEC 62133, UN 38.3)

Preferred Qualifications

  • Master's degree in electrical engineering, computer engineering, or equivalent
  • 8+ years of BMS design experience across the full product lifecycle — from concept through mass production (EVT/DVT/PVT)
  • Experience with battery algorithm development or hardware modeling for SOC/SOH estimation
  • Familiarity with digital circuit design and various communications protocols such as I2C, SME, UART, SPI, USB etc.
  • Knowledge of analog-to-digital converter, DC/DC converters, and power management
  • Experience in writing test automation scripts using Python
  • Familiarity with firmware integration for BMS subsystems and register-level IC configuration
  • Experience with DFMEA processes and working directly with cell/pack vendors and silicon partners across global supply chains
  • Proficiency with SPICE, MATLAB/Simulink, or similar tools for circuit simulation and battery modeling
  • Experience partnering with firmware teams to define and implement firmware, drivers and algorithms

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

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

$1.5T

Valuation

Reviews

3.4

10 reviews

Work-life balance

2.3

Compensation

4.2

Culture

3.1

Career

3.8

Management

2.7

65%

Recommend to a friend

Pros

Great benefits and competitive compensation

Learning opportunities and career advancement

Good teamwork and colleagues

Cons

High pressure and long hours

Poor work-life balance

Toxic work culture and high turnover

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

6 interviews

Difficulty

4.0

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 17%

Negative 83%

Interview process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge