ROLE OVERVIEW :

Set and execute the multi-year technical roadmap for Battery Management Systems - with a sharp focus on software architecture, state-estimation algorithms and digital intelligence.

Own the complete BMS stack from embedded firmware through cloud analytics, ensuring safety-certified, production-proven systems.

KEY RESPONSIBILITIES :

- Define the BMS software architecture: real-time embedded layer, application software, communication stack (CAN, Modbus, Ethernet) and cloud telemetry interfaces.

- Lead development of advanced SOC, SOH, SOP and RUL estimation algorithms using Kalman filters, physics-based and data-driven ML models.

- Oversee teams developing firmware, high-level application software and full system integration across pack, PCS and EMS.

- Drive cloud platform and IoT architecture: data ingestion, data lakes, dashboards for fleet analytics and predictive maintenance.

- Approve HIL and SIL validation strategies for all BMS functions; set code quality, CI/CD and testing standards.

- Ensure compliance with functional safety (ISO 26262 / IEC 61508) and cybersecurity (ISO 21434) standards.

- Manage and mentor a team of embedded software engineers, algorithm developers and cloud architects.

SKILLS & COMPETENCIES :

- Deep expertise in embedded systems: RTOS (FreeRTOS, QNX or equivalent), C/C++ firmware and hardware bring-up.

- Proven SOC/SOH algorithm development for LFP chemistry - including flat open-circuit voltage curve challenges.

- Strong software engineering: Git, CI/CD, automated test frameworks, code review practices.

- Proficiency in Python and MATLAB/Simulink for algorithm prototyping and model-based development.

- Experience with cloud platforms (AWS / Azure / GCP), IoT protocols and big-data pipelines.

- Understanding of functional safety (ISO 26262) and cybersecurity (ISO 21434) for safety-critical software.

- Ability to scale and lead engineering teams of 20+ across firmware, software and cloud disciplines.