Senior Energy Optimization & Controls Specialist

At Schneider Electric, we are helping shape the future of connected energy by bringing together solar generation, battery storage, EV charging, and intelligent energy management solutions into a unified ecosystem.

As homes and energy systems become increasingly electrified and interconnected, optimizing how these technologies interact is becoming one of the industry's most important engineering challenges.

As a Senior Energy Optimization & Controls Specialist, you will develop advanced forecasting, optimization, and control solutions that help coordinate distributed energy resources and improve how energy is generated, stored, and consumed.

Leveraging data-driven approaches, controls engineering, and applied AI/ML techniques, you will contribute to solutions that address real-world energy challenges and support the evolution of Schneider Electric's growing ecosystem of connected energy products.

Working closely with teams across software, controls, power electronics, and product development, you will play a key role in shaping the next generation of intelligent energy management capabilities across residential and distributed energy applications.

What you'll be doing



* Define and develop advanced control, forecasting, and energy optimization strategies for solar PV, battery energy storage systems (BESS), EV charging infrastructure, microgrids, and distributed energy resources (DERs).


* Design and implement Energy Management System (EMS) algorithms to coordinate energy assets across device, site, and fleet-level applications.


* Develop optimization strategies for energy arbitrage, demand response, demand charge reduction, time-of-use optimization, managed EV charging, grid services, and virtual power plant (VPP) applications.


* Build forecasting models for solar generation, load demand, EV charging behavior, and electricity pricing using data-driven methodologies.


* Apply advanced control and optimization techniques, including Model Predictive Control (MPC), scheduling, dispatch, and rule-based control approaches.


* Leverage MATLAB, Simulink, Python, and related engineering tools to model, simulate, and validate energy systems, power converters, generation sources, loads, and DER assets.


* Design, deploy, and support applications across embedded Linux and cloud-connected platforms using Docker, Podman, or similar technologies.


* Develop and validate embedded control software using model-based design methodologies.


* Evaluate emerging technologies and industry trends related to AI, machine learning, digital twins, DERMS, VPPs, demand flexibility, and grid-edge solutions.


* Prepare technical requirements, test plans, verification procedures, validation reports, and supporting engineering documentation.


* Support HIL, CIL, Digital Twin, certification, and field validation activities throughout the product development lifecycle.


* Partner with product management, firmware, software, sy...