Senior Staff Software Engineer, Perception
AeroVect
About the role
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
Responsibilities
- Architect multimodal 3D object detection models using camera, LiDAR, and radar data
- Build and maintain data collection and evaluation pipelines
- Develop datasets for training and evaluating perception models
- Train, deploy, and monitor 2D and 3D object detection models in production
- Build and execute the perception system roadmap
- Mentor junior engineers and lead cross-functional projects
Qualifications
- Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field
- 7+ years of experience architecting and deploying 2D or 3D object detection models
- Experience across the perception stack, including sensing, preprocessing, detection, and tracking
- Proficiency in Python
- Ability to identify gaps and lead cross-functional projects
- Preferred: PhD, full-stack autonomous vehicle knowledge, perception system architecture experience, and publications at major conferences
Skills mentioned
About AeroVect
AI-powered airport logistics automation solutions, trusted by the world's largest airlines and airports.
H-1B sponsorship history
Historical employer filing data was found for AeroVect. The employer record includes 11 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.