Senior EV Automotive Software and Data Engineer

About the Role
 

This role combines embedded systems, data analysis, and reverse engineering. You will work across the full pipeline — from vehicle communication and CAN signal decoding to app integration — delivering clear, practical diagnostics for mechanics. Ideal for engineers who enjoy deep technical challenges and building the future of EV health assessment.

Responsibilities

• Develop communication layers for OBD-II and UDS protocols (ISO 14229) over CAN (ISO 15765)
• Integrate Bluetooth/BLE adapters for Android and iOS connectivity
• Ensure secure and efficient data transfer between ECUs and mobile apps
• Decode CAN bus signals and reverse engineer proprietary messages
• Build Python-based tools for data collection, parsing, and visualization

• Identify and prioritize low-hanging fruit signals for immediate value

   

Must Have

• Strong proficiency in C/C++ or Rust for embedded systems
• Deep understanding of ISO 14229 (UDS) and ISO 15765 (CAN)
• Experience with Bluetooth LE and mobile integration (Android/iOS)
• Proficiency in Python for data analysis and automation
• Familiarity with CAN sniffing tools such as SavvyCAN or CANalyzer

• Solid grasp of EV architectures and diagnostic systems

   

Nice to have

• Experience with Flutter for cross-platform app development
• Experience with cloud platforms such as AWS, Docker, and Kubernetes
• Knowledge of CI/CD pipelines, testing frameworks, and DevOps tools
• Familiarity with time-series databases such as InfluxDB or Timescale
• Previous work with vehicle CAN Bus data or aftermarket tuning tools
• Hacker mindset: curious, resourceful, and passionate about reverse engineering
• Collaborate with mobile and backend teams to deliver real-time insights
• Contribute to scalable cloud infrastructure for data storage and analysis
• Support predictive health assessments and intuitive UI features