Interdisciplinary System Engineer, Devices & Services Energy

Amazon has co-founded and signed The Climate Pledge, a commitment to reach net zero carbon by 2040. As a team, we leverage GenAI, sensors, smart home devices, cloud services, material science, and Alexa to build products that have a meaningful impact for customers and the climate.

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.