Senior Perception Systems Engineer - 3D/Multimodal

AeroVect; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers run day-to-day operations. We are a Series A company backed by top-tier investors in aviation and autonomous driving.

Our customers include the world's largest airlines and ground handling providers. You will architect 3D object detection models, build data collection and evaluation pipelines, and mentor junior engineers to elevate best practices across cross-functional teams in a

Qualifications

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

Responsibilities

• 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.

Skills

3D object detection

Python

Cross-functional leadership

Perception stack

Education

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

Tools

Perception stack tooling

Sensing pipelines

Job description

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers run day-to-day operations. We are a Series A company backed by top-tier investors in aviation and autonomous driving.

Our customers include the world's largest airlines and ground handling providers. You will architect 3D object detection models, build data collection and evaluation pipelines, and mentor junior engineers to elevate best practices across cross-functional teams in a