Energy Management System Engineer

Telioev; Chennai District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Telioev is seeking an Energy Management System (EMS) Engineer to develop, implement and optimize energy management solutions for EVs, charging infrastructure, and grid integration. You will focus on energy efficiency, battery performance, and system reliability.

You will work across hardware, software and data analytics with battery engineers, embedded teams and cloud platforms to deliver energy-optimized EV ecosystems.

Qualifications

• Bachelor’s or Master’s degree in Electrical Engineering, Power Systems, Control Systems or related discipline.
• 2–5 years of EMS development, energy systems modeling, or EV powertrain controls.
• Strong understanding of battery technologies, electric drive systems, and renewable energy integration.
• Proficiency in MATLAB/Simulink, PSCAD, PLECS and control algorithm development.
• Experience with embedded control systems and communication protocols (CAN, Modbus, OCPP).
• Analytical and problem‑solving skills with a systems‑thinking approach.

Responsibilities

• Design and implement EMS algorithms for real-time monitoring, control, and optimization of energy flow in EVs and charging systems.
• Develop control strategies for battery usage, regenerative braking, thermal management, and load balancing.
• Integrate EMS with BMS, MCU, and VCU.
• Support V2G, V2H, and smart charging functionalities.
• Analyze system performance using simulation tools and fine‑tune energy control models.
• Collaborate with software teams to embed EMS logic into vehicle and cloud platforms.
• Contribute to EMS architecture for fleet energy optimization, charging networks, or microgrids.
• Ensure compliance with energy efficiency standards, grid codes, and cybersecurity protocols.

Skills

EMS development

Energy systems modeling

Control algorithms

Embedded control systems

CAN/Modbus/OCPP

Education

Bachelor’s or Master’s degree in Electrical Engineering, Power Systems, or Control Systems

Tools

MATLAB/Simulink

PSCAD

PLECS

Job description

Job Overview: Energy Management System (EMS) Engineer

As an Energy Management System (EMS) Engineer, you will be responsible for the development, implementation, and optimization of intelligent energy management solutions within electric vehicles and charging infrastructure. Your work will focus on maximizing energy efficiency, battery performance, and system reliability while ensuring seamless integration with grid and renewable energy systems.

This role is central to the advancement of sustainable mobility and energy systems. You will work at the intersection of hardware, software, and data analytics—collaborating with battery engineers, power electronics teams, embedded software developers, and grid specialists to deliver high-performance, energy-optimized EV ecosystems.

Key Responsibilities:

• Design and implement EMS algorithms for real-time monitoring, control, and optimization of energy flow in EVs and charging systems.
• Develop control strategies for battery usage, regenerative braking, thermal management, and load balancing.
• Integrate EMS with battery management systems (BMS), motor control units (MCU), and vehicle control units (VCU).
• Support V2G (Vehicle-to-Grid), V2H (Vehicle-to-Home), and smart charging functionalities.
• Analyze system performance using simulation tools (MATLAB/Simulink, PSCAD, etc.) and fine-tune energy control models.
• Collaborate with software teams to embed EMS logic into vehicle and cloud platforms.
• Contribute to the design of EMS architecture for fleet energy optimization, charging networks, or microgrids.
• Ensure compliance with energy efficiency standards, grid codes, and cybersecurity protocols.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Electrical Engineering, Power Systems, Control Systems, or a related discipline.
• 2–5 years of experience in EMS development, energy systems modeling, or EV powertrain controls.
• Strong understanding of battery technologies, electric drive systems, and renewable energy integration.
• Proficiency in simulation tools (MATLAB/Simulink, PSCAD, PLECS) and control algorithm development.
• Experience with embedded control systems and communication protocols (CAN, Modbus, OCPP).
• Solid analytical and problem-solving skills with a systems-thinking approach.

Preferred Qualifications:

• Knowledge of demand response systems, grid-interactive controls, and ISO 15118 standards.
• Familiarity with cloud-based energy platforms and IoT integration.
• Experience in energy storage systems (ESS), microgrids, or EV charging infrastructure.
• Exposure to machine learning or predictive analytics for energy optimization.