Senior Software Engineer - Low Voltage Prognostics - General Motors

Key Responsibilities

• Design, implement, and validate prognostic algorithms that predict low‑voltage failures in vehicle electrical systems.
• Integrate machine‑learning models into embedded C++/Python code running on Linux‑based control units.
• Collaborate with hardware, systems, and validation teams to collect data from CAN bus and battery management sensors.
• Develop simulation and test frameworks to evaluate algorithm performance across vehicle platforms.
• Deploy production‑ready software updates and monitor field performance to continuously improve reliability.

Requirements

• 5+ years of software development experience, preferably in automotive or embedded domains.
• Strong proficiency in Python and C++ with hands‑on experience in Linux embedded environments.
• Demonstrated expertise in machine‑learning model development and deployment for real‑time systems.
• Knowledge of CAN bus communication, battery management systems, and low‑voltage power architecture.
• Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced engineering team.