Edge AI Vision Engineer for Embedded Systems

Safran - Navigation & Timing; Granada; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Health insurance

Flexible work schedule

International and dynamic environment

Job summary

Safran - Navigation & Timing in Granada, Spain, seeks an AI/ML Engineer specialized in Computer Vision for Embedded Systems (Edge AI) to develop vision for compact, battery-powered optronic products. You will handle data strategy, dataset generation, training, optimization, evaluation, deployment, and validation on Qualcomm QCS/QCM platforms.

Within the Optronics team, you will train and fine-tune models including YOLO for efficient edge inference, quantize with Qualcomm QNN, and integrate

Qualifications

• 3+ years in computer-vision, machine-learning, or deep-learning solutions.
• Hands-on PyTorch and/or TensorFlow experience in development, training, and experimentation.
• Experience training and fine-tuning image-classification and object-detection models, including YOLO.
• Dataset collection, annotation, augmentation, versioning, and train/validation/test splits.
• Experience evaluating accuracy/robustness with metrics, analyzing errors, improving models/datasets.
• Experience optimising and quantising networks for edge deployment, including Qualcomm QNN.
• Experience with Qualcomm AI Hub or equivalent toolchains.
• Embedded Linux knowledge; deployment on Qualcomm QCS/QCM or ARM-based edge platforms.
• Proficiency in Python, Git, Linux; strong analytical and English skills.

Responsibilities

• Define data-collection strategies reflecting product use cases and sensor configurations.
• Generate, annotate, version, and quality-check image/video datasets.
• Train and fine-tune classification and detection models with PyTorch and TensorFlow.
• Design training/validation experiments and tune hyperparameters.
• Evaluate accuracy, precision, recall, F1, mAP, latency, memory, and power.
• Quantise networks for edge deployment with Qualcomm QNN.
• Build and maintain Qualcomm AI Hub pipelines: conversion, compilation, profiling, validation, release packaging.
• Deploy and integrate models on Qualcomm QCS/QCM; troubleshoot preprocessing and interfaces.
• Validate end-to-end vision performance on hardware, cameras, and scenarios.
• Collaborate with embedded software, hardware, systems, verification, cybersecurity, and product teams.

Skills

PyTorch

TensorFlow

YOLO

Edge AI

Data collection

Quantisation

Qualcomm QNN

Qualcomm AI Hub

QCS/QCM

Embedded Linux

Python

Git

Education

Bachelor's or Master's degree

Tools

Qualcomm AI Hub

QNN SDK

ONNX

OpenCV

Job description

Safran - Navigation & Timing in Granada, Spain, seeks an AI/ML Engineer specialized in Computer Vision for Embedded Systems (Edge AI) to develop vision for compact, battery-powered optronic products. You will handle data strategy, dataset generation, training, optimization, evaluation, deployment, and validation on Qualcomm QCS/QCM platforms.

Within the Optronics team, you will train and fine-tune models including YOLO for efficient edge inference, quantize with Qualcomm QNN, and integrate