Senior Staff Software Engineer, Perception

AeroVect; München; Vor Ort; EUR 120.000 - 160.000; Vollzeit

Zusammenfassung

AeroVect is transforming ground handling with autonomy, redefining day-to-day operations for airlines and ground service providers worldwide. We build perception systems that fuse camera, LiDAR and radar data to enable safer and more efficient operations.

As a lead architect of 2D/3D object detection models, you will design production pipelines, mentor engineers and drive a cross-functional roadmap from research to deployment.

Qualifikationen

• Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field.
• 7+ years of focused experience in architecting and deploying 2D/3D object detection models.
• Worked on entire perception stack (sensing, preprocessing, detection & tracking).
• Proficient in Python and software development best practices.
• Ability to identify gaps and lead cross-functional projects.

Aufgaben

• 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.
• Build and execute a roadmap for the perception system.
• Mentor junior engineers about best practices.

Kenntnisse

Python

2D/3D object detection

Architecting systems

Cross-functional leadership

Mentoring

Ausbildung

Master’s or PhD in Computer Science, Robotics, Deep Learning, or related field

Jobbeschreibung

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.
• Build and execute a roadmap for the perception system
• Mentor junior engineers about best practices.

You have

• Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field.
• 7+ 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 identify gaps and lead cross functional projects

We Prefer

• PhD in Computer Science, Robotics, or a related discipline
• Full stack AV knowledge
• Experience in architecting perception systems (detection & tracking)
• Publications in major conferences like CVPR, ICRA, NeurIPS, IJCAI, AAAI etc