Camera Systems Engineer

NMTronics India Pvt. Ltd.; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

NMTronics India Pvt. Ltd. seeks a skilled Vision Engineer to design, calibrate, and optimize camera and lighting systems for EMS defect detection on factory floors. You will perform calibration, set up lighting, and develop image processing pipelines to ensure robust inspections.

Collaborating with hardware and software teams, you will validate datasets and contribute to model training while addressing dynamic ambient lighting challenges on the manufacturing line.

Qualifications

• Solid knowledge of classical image processing and computer vision techniques.
• Knowledge of industrial imaging hardware including machine vision cameras, CMOS/CCD sensors, and optical filters.
• Extensive experience with camera calibration concepts and lens distortion correction.
• Proficiency in Python, SQL and Bash; C/C++ is a plus for hardware control and testing.
• Strong fundamentals in deep learning for vision, linear algebra, and 3D geometry for optics.
• Strong analytical and problem-solving skills for troubleshooting optical environments.
• Strong grasp of physical optics, radiometry, photometry, and photogrammetry.

Responsibilities

• Design, deploy, and maintain robust industrial camera and lighting architectures for EMS Defect Detection systems.
• Calculate camera, lens, lighting, sensor sizes, FOV, and DOF for repeatable on-floor imaging.
• Design complex lighting to highlight specific manufacturing defects.
• Apply Radiometry, Photometry, and Photogrammetry for precise calibration and 3D measurements.
• Perform camera calibration, stereo vision setups, and depth estimation.
• Apply classical image processing and computer vision techniques to preprocess images and extract features.
• Integrate vision hardware with factory workflows, PLCs, and production systems.
• Collaborate to capture and curate datasets required for model training.

Skills

Image processing

Computer vision

Machine vision hardware

Cameras & sensors

Camera calibration

Lens distortion correction

Deep learning

Linear algebra

3D geometry

Optics

Defect detection

Education

Masters (preferred) or Bachelors in CS/EC/EE

Tools

Python

SQL

Bash

Embedded C/C++

Linux

React/TypeScript

PostgreSQL

FastAPI

Job description

• Design, deploy, and maintain robust industrial camera and lighting architectures for EMS (Electronics Manufacturing Services) Defect Detection systems.
• Calculate and specify camera & lens requirements, lighting , sensor sizes, field of view, and depth of field to ensure optimal and repeatable image capture on the factory floor.
• Design and implement complex lighting setups to highlight specific manufacturing defects.
• Apply principles of Radiometry, Photometry, and Photogrammetry for precise calibration, accurate 3D measurements, and robust optical inspections.
• Perform camera calibration , stereo vision setups, and depth estimation .
• Apply classical Image Processing and Computer Vision techniques to preprocess images, extract features, and build deterministic algorithms
• Integrate vision hardware with factory workflows, PLCs, and production systems.
• Collaborate with the team to capture, validate, and curate high-quality datasets required for model training.

Technical Skills :

• Solid knowledge of classical Image Processing and Computer Vision techniques .
• Knowledge on Industrial imaging hardware including machine vision cameras , CMOS/CCD sensors, and optical filters.
• Extensive experience with Camera Calibration concepts, lens distortion correction.
• Proficiency in Python ,SQL and Bash .Nice to have C/C++ for hardware control, automated image capture, and script-based testing.
• Strong fundamentals in Deep Learning (Vision Models ),Linear Algebra and 3D Geometry for optics and machine vision.
• Strong analytical and problem-solving skills for troubleshooting complex, real-world optical environments and dynamic ambient lighting conditions.
• Strong grasp of physical optics, Radiometry, Photometry, and Photogrammetry

Nice to have :

• Education : Masters (Preferred) with 1+ years of experience or Bachelors with 2-4 years of experience in CS / EC / EE branches.
• Hands-on experience with ML training pipelines, fine-tuning workflows, or annotation tools (CVAT, Roboflow).
• Experience with Embedded C/C++, Linux, or edge deployment inference targets.
• Familiarity with full-stack integration (React / TypeScript frontend + PostgreSQL / FastAPI backend).
• Good understanding of EMS Manufacturing processes, SMT lines, Defect detection, and Statistical Process Control (SPC).