Staff Software Engineer, Perception

2 Months ago • 5 Years +

Software Development & Engineering

Job Description

AeroVect is seeking a Staff Software Engineer, Perception to transform ground handling with autonomy. You will architect 3D object detection models using multi-modal approaches (camera, LiDAR, Radar), build and maintain data collection and evaluation pipelines, and develop a proprietary multi-modal dataset. Responsibilities include training, deploying, and monitoring 2D/3D object detection models to production, experimenting with state-of-the-art model performance, and mentoring junior engineers on best practices. The ideal candidate will have a Master's or PhD in Computer Science, Robotics, Deep Learning, or a related field with at least 5 years of focused experience.

Good To Have:

PhD in Computer Science, Robotics, or related discipline
Publications in major conferences (CVPR, ICRA, NeurIPS, IJCAI, AAAI etc.)

Must Have:

Master's or PhD in Computer Science, Robotics, Deep Learning, or related field
5+ years experience in architecting and deploying 2D/3D object detection models
Experience with entire perception stack (sensing, preprocessing, detection & tracking)
Proficiency in Python
Ability to lead projects autonomously

Add these skills to join the top 1% applicants for this job

object-detection

deep-learning

python

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.
Experiment SOTA models’ performance.
Mentor junior engineers about best practices.

You have

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

5+ 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 lead projects autonomously