Why this role stands out
Join AeroVect to architect cutting-edge perception systems for autonomous ground handling while enjoying the freedom of a fully remote environment at a high-growth, venture-backed company. This role is perfect for a seasoned engineer eager to lead technical roadmaps, mentor talented teams, and make a tangible impact on the global aviation industry. Apply today to advance your career at the forefront of autonomous technology.
Quick overview
Job description
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