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· 42 views · 8 applications · 27d
Senior EV Automotive Software and Data Engineer
Full Remote · Worldwide · 5 years of experience · English - B2About 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...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