Staff Software Engineer, Perception

9 Minutes ago • 5 Years +

Research Development

Job Description

AeroVect is seeking a Staff Software Engineer, Perception to join their Engineering department. This role involves architecting, building, and deploying 3D object detection models, including multi-modal approaches, and maintaining data pipelines. The ideal candidate will develop proprietary datasets, experiment with state-of-the-art models, and mentor junior engineers, contributing to the transformation of ground handling with autonomous technology for airlines globally.

Good To Have:

PhD in Computer Science, Robotics, or a related discipline.
Publications in major conferences like CVPR, ICRA, NeurIPS, IJCAI, AAAI etc.

Must Have:

Architect 3D object detection models, including multi-modal approaches (camera, LiDAR, Radar).
Build and maintain data collection and evaluation (metrics) pipeline.
Develop a proprietary multi-modal dataset for training and evaluation.
Train, deploy and monitor 2D/3D object detection models to production.
Experiment SOTA models’ performance.
Mentor junior engineers about best practices.
Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field.
5+ years of focused experience in architecting and deploying 2D/3D object detection models.
Worked on entire perception stack (sensing, preprocessing, detection & tracking).
Python proficiency.
Ability to lead projects autonomously.

Add these skills to join the top 1% applicants for this job

game-texts

object-detection

deep-learning

python

Who We Are

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com

You will

Architect 3D object detection models, including multi-modal approaches (camera, LiDAR, Radar).
Build and maintain data collection and evaluation (metrics) pipeline.
Develop a proprietary multi-modal dataset for training and evaluation.
Train, deploy and monitor 2D/3D object detection models to production.
Experiment SOTA models’ performance.
Mentor junior engineers about best practices.

You have

Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field.
5+ years of focused experience in architecting and deploying 2D/3D object detection models.
Worked on entire perception stack (sensing, preprocessing, detection & tracking)
Python proficiency
The ability to lead projects autonomously