Principal Engineer – Edge AI & Intelligent Sensing

Analog Devices

Producción de semiconductores

Valencia, Comunidad Valenciana - Spanien

Project Manager Sénior / Especialista sénior

Experteer Overview

In this role you lead AI-first perception work for real-time localization, mapping, and scene understanding on edge devices. You will shape models that fuse deep learning with classic robotics, and collaborate with robotics, embedded, and hardware teams to translate research into production-grade systems. You’ll advance self-supervised learning, multimodal fusion, andedge AI deployment, contributing to autonomous sensing solutions. Join a mission-driven team at the forefront of Edge AI and embodied intelligence to enable machines that perceive and act in real-world environments.

Responsabilidades

Lead AI-first perception pipelines for real-time localization, mapping, and scene understanding
Architect models integrating deep learning with classical robotics algorithms
Develop pose estimation, depth prediction, loop closure, semantic understanding, and multimodal fusion algorithms
Design and curate sensor-rich datasets (image, depth, IMU, LiDAR, time series)
Collaborate with robotics, embedded, and hardware teams to productionize models
Advance self-supervised learning, multimodal fusion, and Edge AI model compression/acceleration
Contribute to AI platform architecture, tooling, and MLOps for continuous deployment

Requisitos principales

10+ years in applied AI, perception, or machine learning (robotics background not required)
M.S. in Computer Science, Robotics, EE, Applied Math, or similar
Expertise in AI-based perception: vision transformers, depth estimation, optical flow, multimodal fusion; time-series modeling or dynamical systems learning

Cross-functional collaboration Strong communication with engineering teams Proactive problem-solving Python programming PyTorch Vision transformers

Descripción del puesto

In this role you lead AI-first perception work for real-time localization, mapping, and scene understanding on edge devices. You will shape …

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