AmazonInterdisciplinary System Engineer, Devices & Services Energy
Amazon is hiring an Interdisciplinary System Engineer, Devices & Services Energy in Seattle, United States. It pays $151k-$205k a year and Level rates it ; you can apply on Level.
AI in this role
Own end-to-end battery system architecture and design ML-driven algorithms for energy optimization in Amazon devices.
In alignment with this bold corporate goal, the Amazon Devices & Services organization is looking for a passionate, talented, and inventive Interdisciplinary System Engineer to help build revolutionary products with potential for major societal impact. Great candidates for this position will have expertise in the areas of battery management systems, energy storage optimization, time-series forecasting, and control systems for battery dispatch. This includes owning end-to-end battery system architecture, design, and technical execution across the team's hardware launches, and experience designing ML-driven algorithms for battery management (BMS) that operate reliably under embedded/edge compute constraints, building forecasting models for energy usage and demand response, applying reinforcement learning or control theory to battery dispatch and charge/discharge optimization, and developing predictive models for battery health and degradation. You will strive for simplicity and creativity, demonstrating high judgment backed by statistical proof.
Key job responsibilities
As a Interdisciplinary System Engineer, you'll own end-to-end battery system architecture for new-to-Amazon devices, including power electronics, BMS, wireless connectivity, and HW/FW/SW integration — driving architecture decisions from concept through mass production. You'll serve as a key technical interface with battery vendors on system-level design and component selection, and lead design reviews and validation plans to ensure product quality and safety. You'll design and deploy ML-driven algorithms that autonomously optimize battery charge/discharge behavior, dispatch, and energy usage, and develop forecasting systems that integrate real-world usage data and grid signals to deliver context-aware, cost-saving recommendations to customers.
Beyond technical innovation, you'll drive critical technical trade-offs — BMS algorithm fidelity versus compute constraints, power electronics efficiency versus BOM cost, safety margin versus usable capacity — serving as a subject-matter expert on energy storage systems for Director and VP-level technical reviews. You'll drive end-to-end product development from research through production deployment on embedded and cloud systems, collaborating with cross-functional hardware, firmware, and software teams, and establish rigorous experimentation frameworks to validate model performance and measure business impact.
Basic qualifications
- Bachelor's degree in Electrical Engineering
- Experience with electrical systems
- 4+ years of hardware design and validation of components, subsystems and systems experience
- Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, or experience as a mentor, tech lead or leading an engineering team
Preferred qualifications
- Experience with AI/ML technologies
- Knowledge of battery electro-chemistry and manufacturing processes.
- Familiarity with energy systems and energy devices beyond batteries
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, Seattle - 151,200.00 - 204,600.00 USD annually
How we rate this
Interdisciplinary System Engineer, Devices & Services Energy at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where battery management was part of your work. What did you do?
- Tell me about a project where control systems was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where time series forecasting was part of your work. What did you do?
- Tell me about a project where systems engineering was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Battery Management, Control Systems, Machine learning, Time Series Forecasting, and Systems Engineering. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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