Snr Engineer - Energy Systems

Mahindra and Mahindra Limited [Automotive and Farm Equipment Business]; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Mahindra and Mahindra Limited (Automotive and Farm Equipment Business) is seeking a seasoned electronics engineer to design, develop, and validate HV battery systems and BMS algorithms for BEV and HEV platforms. The role focuses on EKF‑based SOC/SOH, SOP estimates, thermal management, diagnostics, and safety logic, plus building battery digital twins for performance and lifecycle analysis.

The role requires collaboration with cross‑functional teams from concept through SOP, supporting vehicle

Qualifications

• 4–6 years hands-on EV/HEV battery systems or BMS development.
• Strong experience with lithium‑ion HV battery pack architecture.
• Exposure to complete automotive development lifecycle (V‑model).
• Experience supporting vehicle integration, validation, and SOP readiness.

Responsibilities

• Design, develop, and validate HV battery systems and BMS algorithms.
• Create and maintain battery models, SOC/SOH/SOP estimation, and thermal management.
• Perform battery and vehicle system modeling, calibration, and validation.
• Support HEV energy management and control strategy development.
• Analyze field data and failures to improve robustness and reliability.
• Collaborate with cross-functional teams from concept through SOP.

Skills

HV battery system design

BMS algorithm development

Battery modeling

V-model automotive development

Vehicle integration

Education

B.Tech / B.E. in Electrical & Electronics Engineering

Postgraduate specialization in power electronics, energy systems, or controls

HV battery safety certification (preferred)

Tools

MATLAB

Simulink

Simscape

Stateflow

CAN tools

Job description

Job Description:

Responsibilities & Key Deliverables

1. Key Tasks and Deliverables

• Design, develop, and validate next‑generation High Voltage (HV) battery systems and BMS algorithms for BEV and HEV platforms
• Develop and optimize BMS functions including SOC, SOH, SOP estimation, thermal management, diagnostics, and safety logic
• Create and maintain battery digital twin models for performance prediction and lifecycle analysis
• Perform battery and vehicle system modeling, simulation, calibration, and validation
• Support HEV energy management and control strategy development
• Analyze field data, logs, and failures to improve robustness and reliability
• Collaborate with cross‑functional teams from concept development through SOP

2. Critical Must-Have Deliverables

• Production‑ready BMS algorithms (SOC, SOH, SOP, balancing, safety)
• Validated battery system models aligned with vehicle integration needs
• Accurate SOX estimation using model‑based techniques
• Compliance with HV safety and automotive regulatory requirements
• Field issue root‑cause analysis and corrective action implementation

3. Good-to-Have Deliverables

• AI/ML‑based SOX estimation and battery prognostics models
• Thermal runaway prediction models and abuse test correlation
• Advanced diagnostics and predictive maintenance features
• Contribution to safety audits and certification activities

Experience

• 4–6 years of hands‑on experience in EV/HEV battery systems or BMS development
• Strong experience in lithium‑ion HV battery pack architecture
• Practical exposure to complete automotive development lifecycle (V‑model)
• Experience supporting vehicle integration, validation, and SOP readiness

Industry Preferred

• Electric Vehicles (BEV, HEV, PHEV)
• Automotive OEMs and Tier‑1 suppliers
• Battery systems, energy storage, and electrified powertrain solutions

Qualifications

• B.Tech / B.E. in Electrical & Electronics Engineering or equivalent
• Postgraduate specialization in power electronics, energy systems, or controls is an advantage
• HV battery safety certification is preferred

General Requirements

Functional Competencies

• HV battery system design and integration
• BMS algorithm development (EKF‑based SOC, SOH, SOP)
• Battery modeling, simulation, calibration, and validation
• HEV control strategy understanding

Tools & Techniques

• MATLAB, Simulink, Simscape, Stateflow (Model‑Based Development)
• CAN tools: CANoe, CAN Analyzer, PCAN, INCA
• Python for data analytics, field log analysis, and failure investigation
• Experience with HIL/SIL/MIL validation environments is an added advantage

Behavioral Competencies

• Strong analytical and problem‑solving skills
• Effective documentation and technical presentation ability
• Ability to mentor junior engineers and technically lead work packages
• Cross‑functional collaboration and ownership mindset

Our commitment to Diversity, Equity, and Inclusion

Requirements: