Hybrid Deep Learning Engineer — AI Safety & Perception

Bosch; Braga; Hybrid; EUR 55,000 - 85,000; Full time

Benefits offered by this job

Flexible work conditions

Hybrid work system

Exchange with colleagues around the世界

Health insurance

Medical office on site

Training opportunities

Career progression and certifications

Discounts with Bosch partners

Sports and health activities

Public transport access

Free transport from Porto

Flexible benefits platform

Free parking lot

Canteen

Success stories don´t just happen. Они

Job summary

Bosch Car Multimedia, S.A. in Braga, Portugal, is seeking a Deep Learning Engineer with a focus on AI safety topics to develop, evaluate and deploy advanced AI methods for perception in autonomous driving. You will work on fusion architectures combining RGB, LiDAR, and radar data.

The role requires a strong background in DL, CV, DSP, and statistics, plus hands-on experience with PyTorch/TensorFlow and transformer-based perception models. Collaboration with global teams is essential.

Qualifications

• MSc or Ph.D. in Computer Science, Machine Learning, Mathematics or related AI field.
• At least 3-5 years of relevant experience in developing, training and evaluating AI methods.
• Strong programming skills in Python.
• Strong background in Digital Signal Processing, Computer Vision, Deep Learning.
• Strong mathematical background (statistics).
• Experience with perception focused tasks, such as 3D Object Detection, Semantic Segmentation and Freespace Detection.
• Familiarity with transformer-based architectures related to perception methods.
• Experience with deep learning frameworks (e.g. TensorFlow/PyTorch).

Responsibilities

• Create, optimize and deploy new and innovative Deep Learning architectures based on RGB, LiDAR, Radar (2D and 3D point cloud), and fusion systems.
• Define and develop innovative safety of AI methods and measures, applicable to sensor fusion architectures for Perception in autonomous driving.
• Enthusiastic about AI reliability and/or long-tail learning approaches: Uncertainty Quantification, Model Calibration, Open Set Recognition, Open Set Object Detection, Anomaly/Novelty Detection.
• Join the Research and Innovation team to improve and optimize new solutions.
• Interact with other teams to ensure a connected and sound architectural solution.
• Interact with stakeholders to ensure technical understanding and alignment.

Skills

Python

AI safety

Uncertainty Quantification

Model Calibration

Open Set Recognition

3D Object Detection

Semantic Segmentation

Freespace Detection

Transformer architectures

PyTorch/TensorFlow

Education

MSc or Ph.D. in Computer Science, Machine Learning, Mathematics or related AI field

Tools

OpenMMLab framework

PyTorch

TensorFlow

Job description

Bosch Car Multimedia, S.A. in Braga, Portugal, is seeking a Deep Learning Engineer with a focus on AI safety topics to develop, evaluate and deploy advanced AI methods for perception in autonomous driving. You will work on fusion architectures combining RGB, LiDAR, and radar data.

The role requires a strong background in DL, CV, DSP, and statistics, plus hands-on experience with PyTorch/TensorFlow and transformer-based perception models. Collaboration with global teams is essential.