Stellenbeschreibung:

We are building a cutting-edge Smart EV Energy Assistant that combines real-time vehicle telemetry, cloud AI predictions, and an interactive dashboard interface. The project will be showcased at a major international Electric Vehicle Auto Show this October.

You will work within the playground.digital.auto platform, using COVESA VSS signals to build an intelligent, driver-facing assistant capable of forecasting range, recommending driving optimizations, and integrating external data like weather and charger APIs.

You would also do some integration on cloud (AWS/Azure) to have the data processed by LLMs and give tailored tips to the driver.

🔧Tasks' summary:
• Build a vehicle-side application using Python within playground.digital.auto
• Connect to external cloud APIs (weather, charging stations, etc.)
• Create a custom dashboard GUI
• Integrate with a cloud-based AI model
✅ Ideal Skills
• Experience with Python and async workflows
• Familiarity with COVESA VSS or automotive signals
• Comfortable working in Playground.Digital.Auto
• Integration experience with REST APIs
• Familiarity with OpenAI, Hugging Face, or other LLMs
• (Bonus) Experience with automotive telemetry, EV systems, or HMI
🎯 Deliverables
• Functional prototype running in playground.digital.auto
• Live visualization of energy signals + predictive logic
• Working integration with cloud-based AI endpoint
• Demo-ready UI interface

NOTE / HINWEIS:

EN: Please refer to Fuchsjobs for the source of your application

DE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung