Computer Vision Engineer

Actively Reviewing

Neoqubit

Bengaluru Full-Time 1–2 yrs exp Posted 8 hours ago · Apply by Sep 14, 2026

Job Description

We are looking for a passionate and hands-on Computer Vision Engineer to join our team in building next-generation AI-powered solutions for industrial automation, intelligent inspection, and robotics applications. The ideal candidate should have experience developing and deploying real-time computer vision applications on edge devices and possess a strong understanding of embedded systems and AI deployment.

Responsibilities

Design, develop, and deploy real-time computer vision solutions for industrial and automation use cases.
Build and optimize image processing and object detection pipelines using OpenCV and Python.
Deploy AI models on edge computing platforms such as NVIDIA Jetson and Raspberry Pi.
Integrate vision systems with industrial controllers, PLCs, and communication protocols.
Develop robust edge AI applications capable of operating in production environments with low latency and high reliability.
Collaborate with cross-functional teams including software, embedded, and automation engineers.
Troubleshoot, optimize, and maintain deployed vision systems.

Requirements

Strong experience with Computer Vision and OpenCV.
Hands-on experience with NVIDIA Jetson Platforms (Orin Nano, NX, AGX) and/or Raspberry Pi.
Proficiency in Python.
Experience with Object Detection, Image Processing, and Real-Time Video Analytics.
Knowledge of Embedded Linux environments.
Understanding of communication protocols such as Modbus, MQTT, UART, SPI, I2C, and RS485
Experience working with Git and Linux-based development environments.
Bachelor's degree in Electronics and Communication Engineering, Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related field.
Strong problem-solving and analytical skills
Ability to take ownership of projects from development to deployment
Passion for building real-world AI solutions that operate on edge devices
Experience working in fast-paced product development environments
Key Technologies: Computer Vision, OpenCV, Python, NVIDIA Jetson, Edge AI, Raspberry Pi, Embedded Systems, Linux, Object Detection, Industrial Automation, Modbus, MQTT, and Robotics.

Preferred Skills