Edge AI Vision Engineer — Embedded Systems (Granada)

Safran Electronics Defense; Granada; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Health insurance

Flexible work schedule

International and dynamic environment

High growth opportunities

Professional Career Plan

Job summary

Safran Electronics Defense in Granada, Spain is seeking an AI/ML Engineer specialized in Computer Vision for Embedded Systems (Edge AI). You will develop compact, battery-powered optronic vision solutions, train models, and deploy on Qualcomm QCS/QCM platforms in an interdisciplinary team.

You will lead data-collection, annotation, model training, quantisation, and pipeline automation while collaborating with embedded software, hardware, and cybersecurity teams to ensure robust field performance.

Qualifications

• Bachelor or master in CS/AI/EE or equivalent.
• Minimum 3 years of CV/ML or DL experience.
• Hands-on experience with PyTorch or TensorFlow.
• Experience with edge deployment of CV models.

Responsibilities

• Define data-collection strategies reflecting product use cases, environments, sensor configurations, and target classes.
• Generate, curate, annotate, version, and quality-check image/video datasets for classification and object detection.
• Train and fine-tune classification and detection models with PyTorch and TensorFlow, including YOLO detectors.
• Design training/validation experiments, tune hyperparameters, analyse failures, and improve generalisation.
• Evaluate accuracy, precision, recall, F1, mAP, latency, memory, power, and robustness.
• Optimise and quantise networks with Qualcomm QNN, balancing quality, compute, memory, latency, and power.
• Build and maintain Qualcomm AI Hub pipelines: conversion, compilation, profiling, validation, and release packaging.
• Deploy and integrate models on Qualcomm QCS/QCM; troubleshoot preprocessing, inference, post-processing, and application interfaces.
• Validate end-to-end vision performance on representative hardware, cameras, datasets, and operational scenarios.
• Collaborate with embedded software, hardware, systems, verification, cybersecurity, and product teams; document reproducible workflows and test evidence.

Skills

PyTorch

TensorFlow

Object detection

Python

Embedded Linux

English skills

Education

Bachelor's or Master’s degree in CS/AI/EE

Tools

Qualcomm QNN

Qualcomm AI Hub

QCS/QCM platforms

ONNX/OpenCV

Job description

Safran Electronics Defense in Granada, Spain is seeking an AI/ML Engineer specialized in Computer Vision for Embedded Systems (Edge AI). You will develop compact, battery-powered optronic vision solutions, train models, and deploy on Qualcomm QCS/QCM platforms in an interdisciplinary team.

You will lead data-collection, annotation, model training, quantisation, and pipeline automation while collaborating with embedded software, hardware, and cybersecurity teams to ensure robust field performance.