Embedded Software Engineer

Avo Intelligence

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profile Job Location:

Munich - Germany

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

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!

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...
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Key Skills

  • Dermatology
  • Accomodation
  • Corporate Marketing
  • Corporate Risk Management
  • Civil Quality Control
  • Computer Engineering

About Company

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Avo Intelligence is redefining the possibilities of machine learning by empowering businesses to leverage raw ML expertise to tackle complex challenges and innovate effectively. Operating from Germany and Singapore—two global hubs of technology and innovation—we are uniquely positione ... View more

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