Senior Staff Software Engineer, Perception
Role Overview
This senior-level role involves architecting and deploying 3D object detection models using multi-modal approaches like camera, LiDAR, and Radar. The engineer will build data pipelines, develop proprietary datasets, and mentor junior team members, impacting autonomous ground handling operations for major airlines and service providers. Day-to-day responsibilities include training, monitoring, and experimenting with state-of-the-art perception models in a remote team focused on robotics and deep learning.
Perks & Benefits
The job is fully remote, likely with flexible hours, though time zone expectations may align with team collaboration. Career growth is supported through mentorship opportunities and exposure to cutting-edge autonomous technology in aviation. The company culture emphasizes innovation, backed by top-tier venture capital, offering a dynamic startup environment with potential for professional development and impact on global operations.
Full 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
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