Embedded Software Engineer

vor 1 Woche


Munich, Bayern, Deutschland Avo Intelligence Vollzeit 80.000 € - 120.000 € pro Jahr

We are seeking an Edge AI & Embedded ML Engineer to develop high-performance, low-latency AI models for deployment on resource-constrained devices. This role involves optimizing deep learning models for real-time inference on edge hardware, ensuring efficiency in power-limited environments.

If you have experience with TinyML, on-device AI, and embedded neural networks, this is the perfect opportunity to work on cutting-edge innovations.

Tasks
  • Design, train, and optimize machine learning models for deployment on microcontrollers, FPGAs, TPUs, and custom ASICs
  • Implement low-power deep learning solutions for edge devices
  • Optimize models using quantization, pruning, knowledge distillation, and hardware-aware training
  • Deploy and benchmark ML models on TensorFlow Lite, ONNX, PyTorch Mobile, and Edge TPU
  • Develop firmware/software to integrate AI models with real-time operating systems (RTOS), IoT networks, and embedded Linux
  • Collaborate with hardware engineers to improve AI performance on custom architectures
Requirements
  • Experience in embedded software development for AI & TinyML applications
  • Proficiency in C, C++, and Python for real-time, low-power systems
  • Knowledge of microcontroller architectures and RTOS (Zephyr, FreeRTOS, etc.)
  • Ability to work cross-functionally in a fast-moving, collaborative environment
  • Passion for pushing the limits of Edge AI & embedded ML innovation
Benefits

Work on the bleeding edge of blockchain & AI innovation.

Remote-first team with a flexible work culture.

Opportunity to shape the future of decentralized AI applications.

Competitive salary & potential for equity/token incentives.

Join Avo Intelligence and revolutionize AI Work with cutting-edge TinyML tech, collaborate globally, and make an impact. Apply now for the Embedded Software Engineer role



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