Lead Perception Architect: 3D Vision & Autonomy

AeroVect; Greater London; On-site; GBP 100,000 - 180,000; Full time

Job summary

AeroVect is seeking an experienced architect to lead the design and deployment of 2D/3D object detection models and the entire perception stack. You will build data pipelines, develop multi-modal datasets, and train models for production while shaping the roadmap for the perception system.

You will also mentor junior engineers and collaborate across teams to identify gaps and drive cross-functional initiatives within a Series A company backed by aviation and autonomous-driving investors.

Qualifications

• 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.
• Experience with the entire perception stack (sensing, preprocessing, detection & tracking).
• Proficiency 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

Python proficiency

Cross-functional leadership

Education

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

Job description

AeroVect is seeking an experienced architect to lead the design and deployment of 2D/3D object detection models and the entire perception stack. You will build data pipelines, develop multi-modal datasets, and train models for production while shaping the roadmap for the perception system.

You will also mentor junior engineers and collaborate across teams to identify gaps and drive cross-functional initiatives within a Series A company backed by aviation and autonomous-driving investors.