Edge Computer Vision Engineer for Autonomous Drone Fleets

eyesAtop; New York (NY); On-site; USD 180,000 - 220,000; Full time

Benefits offered by this job

Dental Insurance

Health Insurance

Paid time off

Vision Insurance

Job summary

eyesAtop is building an operating platform for multi-drone warfare in New York metropolitan area. We seek a Computer Vision Engineer to own the perception layer powering autonomous aerial systems, from concept to live flight deployment, iterating on real-world data and edge conditions.

You will design and implement vision-based systems, build a unified fleet-wide 3D world model, and develop multi-agent perception architectures for robust, low-latency operation in contested environments.

Qualifications

• M.Sc. in a relevant field is required.
• 4+ years of production computer vision experience.
• Proficiency in Python and C++.
• Experience deploying algorithms under real-time constraints.
• Experience with edge compute hardware such as NVIDIA Jetson or similar.

Responsibilities

• Design, implement, and improve vision-based situational awareness systems.
• Build a shared world model across the fleet for 3D representation.
• Develop object detection, tracking, and classification pipelines.
• Create semantic scene understanding for autonomy and planning.
• Design multi-agent perception architectures across fleet.
• Ensure GNSS-denied or EW-contested operation capability.
• Combine classical CV with deep learning for low-latency perception.
• Own the full algorithm lifecycle from concept to deployment.
• Collaborate with flight controllers and operations teams on real flight data.

Skills

Python

C++

Robotics

Computer Vision

SLAM

3D Scene Understanding

Edge Deployment

Real-time

Education

M.S. in CS / EE / Robotics

Ph.D. preferred

Tools

Jetson

Embedded Systems

GNSS-denied

Job description

eyesAtop is building an operating platform for multi-drone warfare in New York metropolitan area. We seek a Computer Vision Engineer to own the perception layer powering autonomous aerial systems, from concept to live flight deployment, iterating on real-world data and edge conditions.

You will design and implement vision-based systems, build a unified fleet-wide 3D world model, and develop multi-agent perception architectures for robust, low-latency operation in contested environments.