Computer Vision Engineer

Intelletec; New Jersey; On-site; USD 198,000 - 242,000; Full time

Job summary

Intelletec is seeking a Computer Vision Engineer for a defense technology client in NY/NJ to build real-time perception systems powering autonomous platforms.

You will advance object detection, tracking, SLAM, and 3D scene understanding, deploying algorithms from research to production in latency-sensitive environments.

Qualifications

• M.Sc. in a relevant technical field.
• 4+ years in computer vision, perception, or autonomy.
• Strong background in classical computer vision and deep learning.
• Experience with object detection, SLAM, visual odometry, or 3D scene understanding.
• Strong Python and C++ skills.
• Experience deploying algorithms in latency-constrained environments.

Responsibilities

• Build real-time computer vision and perception systems.
• Develop object detection, tracking, and 3D scene understanding capabilities.
• Build systems that combine data from multiple sensors and sources.
• Develop robust perception for challenging environments.
• Combine classical computer vision and deep learning for low-latency performance.
• Take algorithms from research through deployment and production.

Skills

Python

C++

Computer Vision

Deep Learning

SLAM

Education

M.Sc. in a relevant technical field

Job description

Our client, a fast-growing defense technology company, is looking for a Computer Vision Engineer to join their engineering team. They are building advanced autonomous systems and leveraging cutting-edge AI and computer vision to solve complex, real-world challenges. This is an opportunity to work on highly impactful technology in a fast-paced, mission-driven environment.

Location:

NY/NJ

Compensation:

Up to $220,000 base salary

Role & Responsibilities:

• Build real-time computer vision and perception systems
• Develop object detection, tracking, and 3D scene understanding capabilities
• Build systems that combine data from multiple sensors and sources
• Develop robust perception for challenging environments
• Combine classical computer vision and deep learning for low-latency performance
• Take algorithms from research through deployment and production

Skills & Experience:

• M.Sc. in a relevant technical field
• 4+ years in computer vision, perception, or autonomy
• Strong background in classical computer vision and deep learning
• Experience with object detection, SLAM, visual odometry, or 3D scene understanding
• Strong Python and C++ skills
• Experience deploying algorithms in real-world, latency-constrained environments