Camera Systems Engineer

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

Job summary

NMTronics India Pvt. Ltd. in Bengaluru seeks a skilled computer vision engineer to design and optimize industrial camera and lighting architectures for EMS defect detection. You will define camera/lens specs, lighting, and sensor choices to ensure repeatable on-floor imaging.

You will calibrate cameras, perform stereo Vision setups, and apply advanced image processing. Strong Python/SQL skills plus ML background are valued for robust inspections.

Qualifications

• Masters preferred with 1+ years of experience or Bachelors with 2-4 years in CS/EC/EE.
• Hands-on 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 SPC.

Responsibilities

• Design, deploy, and maintain industrial camera and lighting architectures for EMS Defect Detection systems.
• Calculate and specify camera & lens requirements, lighting, sensor sizes, FOV, and depth of field for repeatable image capture on the factory floor.
• Design and implement complex lighting setups to highlight specific manufacturing defects.
• Apply radiometry, photometry, and photogrammetry for precise calibration, 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 and extract features.
• Integrate vision hardware with factory workflows, PLCs, and production systems.
• Collaborate to capture, validate, and curate high-quality datasets for model training.

Skills

Classical image processing

Computer vision techniques

Industrial imaging hardware

Camera calibration

Python

SQL

Bash

C/C++ (hardware control)

Deep learning (vision models)

Linear algebra

3D geometry for optics

Problem solving

Physical optics (radiometry/photometry

Education

Masters (preferred) with 1+ years experience

Bachelors (CS/EC/EE) with 2-4 years experience

Tools

CVAT

Roboflow

Embedded C/C++

Linux

React

TypeScript

PostgreSQL

FastAPI

Python

SQL

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).