Remote Sensor Fusion Engineer: Real-Time Perception & DL

BairesDev; Colombia; Presencial; COP 286.250.000 - 413.473.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

USD or local currency compensation

Hardware and software setup for home

Flexible hours

Parental leave and holidays

Mentorship and growth opportunities

Descripción de la vacante

BairesDev is seeking a Sensor Fusion Engineer to design and implement advanced perception systems that integrate data from multiple sources. You will help create the "eyes" of autonomous systems, enabling high-fidelity environmental awareness and robust object tracking.

You will develop real-time pipelines for detection, tracking, and segmentation, leveraging PyTorch and C++/Python, while collaborating with autonomy teams to integrate outputs into decision-making logic.

Formación

• 5+ years of experience in software engineering focusing on perception systems.
• Proven expertise in sensor fusion using LiDAR, camera, and radar data.
• Strong programming skills in C++ or Python with experience in PyTorch.
• Hands-on experience building real-time perception pipelines for detection or tracking.

Responsabilidades

• Develop and optimize sensor fusion algorithms merging LiDAR, camera, and radar data.
• Architect real-time perception pipelines for object detection and segmentation.
• Implement deep learning models in PyTorch to enhance environmental understanding.
• Design tracking systems for robust state estimation of dynamic objects.
• Collaborate with autonomy teams to integrate perception into decision logic.
• Validate system performance through simulation and real-world data analysis.

Conocimientos

Sensor fusion

C++

Python

LiDAR

Computer vision

Object tracking

Semantic segmentation

English

Herramientas

PyTorch

Descripción del empleo

BairesDev is seeking a Sensor Fusion Engineer to design and implement advanced perception systems that integrate data from multiple sources. You will help create the "eyes" of autonomous systems, enabling high-fidelity environmental awareness and robust object tracking.

You will develop real-time pipelines for detection, tracking, and segmentation, leveraging PyTorch and C++/Python, while collaborating with autonomy teams to integrate outputs into decision-making logic.