BMS Firmware Engineer

BMS Firmware Engineer

• Convert battery models & equations into

  embedded-optimized C code

  .
• Ensure the implementation is:
• computationally efficient
• memory-optimized
• real-time safe
• MISRA-C compliant
• Handle fixed-point math, scaling, quantization, and precision issues.

2. Signal Processing & Data Infrastructure

• Implement:
• ADC acquisition filters
• Sensor calibration (voltage, current, temperature)
• Noise filtering (moving average, IIR filters)
• Guarantee the data needed for SoX is

  clean, calibrated, low noise

  .

3. Embedded Software Architecture

• Task scheduling for SoX updates
• RTOS-based designs
• Memory & stack management
• Power management
• Safety task integration
• Timing guarantees (1 ms, 10 ms, 100 ms tasks)

4. Hardware & Driver Layer

• Cell voltage acquisition drivers
• Current sensor drivers
• Temperature sensing drivers
• Communication stack (CAN, LIN, RS232, BLE)

5. Safety, Protections & Diagnostics

• OV/UV, OC, OT/UT protections
• Fault detection state machines
• Contactor control / charge-discharge enable logic
• Functional safety (ISO 26262 compliance)
• SoX algorithms compatibility check with ASIL A/B/C/D levels.

6. Validation & Testing Support

• Unit testing of algorithm code after porting
• HIL/SIL test execution
• Debugging & fixing integration bugs
• Ensuring algorithm runs correctly in edge cases

7. Production-Readiness

• Bootloader updates
• Flash memory management
• Diagnostic services (UDS/ISO-TP)
• Firmware update over CAN or OTA

Firmware Development

• Develop embedded firmware for BMS microcontrollers (ARM Cortex-M, TI C2000, NXP, Renesas, etc.).
• Integrate algorithms into production firmware with

  low-latency and memory-efficient

  implementations.
• Write MISRA-C compliant firmware and follow automotive coding standards.
• Implement communication protocols (CAN, LIN, UDS, ISO-TP).

Cross-Functional Collaboration

• Work with battery testing teams for data acquisition and characterization.
• Coordinate with hardware engineers for sensor calibration, ADC accuracy, and signal conditioning.
• Validate feature engineering through collaboration with data team.
• Collaborate with IoT / cloud team to collect, process, clean up and validate the data required for battery SoX algorithms.
• Support system engineers with safety concepts (ISO 26262, functional safety requirements).

Required Skills & Experience

• Bachelor's/Master's in Electrical Engineering, Electronics, Embedded Systems, or related field.
• 5-8 years of experience in

  battery management systems

  or embedded systems.
• Strong knowledge of:
• Lithium-ion cell behavior (LFP, NMC, etc.)
• SoX estimation techniques (EKF, UKF, PF, adaptive algorithms)
• Battery aging & degradation mechanisms
• ECM modeling (Rint, Thevenin, PNGV, dual-RC models)
• Proficiency in

  C/C++

  for embedded systems.
• Experience with MATLAB/Simulink, Python.
• Experience with tools like Vector CANalyzer, HIL systems, ALTAIR, etc. on debugging .dbc files to raw battery data.