Embedded AI/ML Engineer Porto

Embedded AI/ML Engineer
Porto
Porto, Porto District, Portugal

Design
- AI algorithms and embedded software for intelligent transportation and urban mobility systems!Embedded AI/ML Engineer – Smart Mobility Solutions (Remote – Portugal / Lisbon-based)We are seeking a passionate and skilled Embedded AI/ML Engineer to work remotely from Portugal, contributing to the development of intelligent,
- based solutions for smart mobility systems for one of our clients. In this role, you’ll design and implement AI algorithms optimized for embedded platforms used in applications such as connected vehicles, traffic prediction, and autonomous transport. Join a
- looking team dedicated to reshaping how mobility and urban infrastructure interact. Core Responsibilities:Design and implement AI/ML models for execution on
- constrained embedded systems
Optimize neural networks for performance and power efficiency on devices like NVIDIA Jetson, ARM Cortex, or similar platforms
Collaborate with software and hardware teams to deploy scalable and reliable
- AI solutions
Integrate sensor data (vision, GPS, LIDAR) and apply ML techniques to
- world mobility challenges
Conduct model training, quantization, pruning, and inference benchmarking
Ensure compliance with software quality and cybersecurity standards in embedded deployments
Core Skills Required:Strong proficiency in Python and C/C++Hands-on experience with Tensor
Flow Lite , ONNX , Py
Torch Mobile , or similar frameworks
Familiarity with edge computing and embedded system constraints (e. g. , memory, latency, power)Knowledge of embedded Linux or RTOS environments
Experience in deploying
- time ML models on devices like Jetson Nano/Xavier, Raspberry Pi, or custom boards
Understanding of AI model optimization techniques (e. g. , quantization, compression)Preferred / Additional Skills:Experience with computer vision and sensor fusion for
- related applications
Knowledge of communication protocols (e. g. , CAN, MQTT, V2X)Familiarity with data privacy , GDPR , and cybersecurity principles in AI systems
Background in autonomous vehicles , urban infrastructure , or transportation tech
Degree in Electrical Engineering , Computer Science , AI , or similar