Embedded Software Engineer

Avo Intelligence; München; Vor Ort; Vertraulich; Vollzeit

Zusammenfassung

An innovative company is looking for an Edge AI & Embedded ML Engineer to develop high-performance AI models for resource-constrained devices. This exciting role involves optimizing deep learning models for real-time inference on edge hardware, ensuring efficiency in power-limited environments. You will work with cutting-edge TinyML technology, collaborating with a global team to push the limits of AI innovation. If you're passionate about embedded systems and AI, this is the perfect opportunity to make a significant impact in the field.

Qualifikationen

• Proven experience in embedded software development for AI & TinyML applications.
• Strong proficiency in C, C++, and Python for low-power systems.

Aufgaben

• Design and optimize machine learning models for microcontrollers and custom ASICs.
• Collaborate with hardware engineers to enhance AI performance on architectures.

Kenntnisse

Embedded Software Development

TinyML

C Programming

C++ Programming

Python

Real-time Operating Systems (RTOS)

Machine Learning Optimization

Tools

TensorFlow Lite

ONNX

PyTorch Mobile

Edge TPU

Jobbeschreibung

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
• 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

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!