Lead Embedded Software Engineer
Tasks
- Build LLM backed companion app features
- Build telemetry pipeline for sensor and usage events
- Define communication protocol between MCU and host software
- Design and implement device management backend
- Develop on device AI features for smart peripherals
- Expose sensor data streams for real time inference
- Implement host hardware controller command translation
- Implement multi provider LLM architecture with fallback
- Implement physical feedback behaviors
- Implement real time device state feedback
- Integrate AI agent frameworks into product stack
- Integrate AI agent with chat and messaging platforms
- Integrate LLM and AI service providers
- Integrate sensor data into AI pipelines
Perks/Benefits
Skills/Tech-stack
ARM | BLE | C# | C++ | Embedded Linux | I2C | JavaScript | Jetson | LLM APIs | Langchain | Langgraph | MediaPipe | Node.js | OpenCV | Pipecat | Python | REST | Raspberry Pi | SPI | Systemd | UART | USB CDC | USB CDC ACM | USB HID | Udev | WebSocket
Education
N/A
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