Vision Application Engineer

HappieHire

Bengaluru

On-site

INR 800,000 - 1,200,000

Full time

14 days+

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Job summary

HappieHire seeks a skilled Vision Application Engineer to enhance the development and optimization of vision systems for industrial applications in Bengaluru. This role demands strong expertise in machine vision, programming skills, and collaboration with cross-functional teams to improve manufacturing processes through innovative technology.

Qualifications

  • 2-5 years of experience working with machine vision systems in industrial environments.
  • Hands-on experience with machine vision hardware (cameras, sensors, lighting) and software.
  • Strong knowledge of image processing techniques and algorithms.

Responsibilities

  • Design and integrate machine vision systems for quality control and automation applications.
  • Program and calibrate vision systems using various vision software tools.
  • Conduct testing and troubleshooting of machine vision systems to meet quality standards.

Skills

Problem-Solving
Image Processing
Vision Programming

Education

Bachelor’s degree in Electrical Engineering
Bachelor’s degree in Computer Engineering
Bachelor’s degree in Mechanical Engineering
Bachelor’s degree in Mechatronics

Tools

Cognex VisionPro
HALCON
NI Vision
Keyence
LabVIEW

Job description

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We are looking for a skilled Vision Application Engineer to join our engineering team in the development, integration, and optimization of vision systems for industrial automation. As a Vision Application Engineer, you will play a crucial role in implementing machine vision solutions for quality control, inspection, and automation applications in manufacturing. You will work closely with cross-functional teams to ensure the systems meet performance and production goals, leveraging your expertise in vision technology to improve manufacturing processes.

Key Responsibilities:

  • Machine Vision System Design & Integration:
  • Design, configure, and integrate machine vision systems for a variety of applications such as product inspection, quality control, sorting, and measurement in manufacturing environments.
  • Select appropriate cameras, lighting, lenses, and vision software tools for optimal system performance.
  • Vision System Programming & Calibration:
  • Program and calibrate vision systems using tools like Cognex VisionPro, Keyence, NI Vision, HALCON, or similar platforms.
  • Develop and optimize algorithms for image processing, pattern recognition, and defect detection.
  • Customize software and vision applications to meet production line requirements and specifications.
  • System Testing & Troubleshooting:
  • Conduct thorough testing and validation of vision systems to ensure they meet quality and operational standards.
  • Troubleshoot issues related to camera calibration, software functionality, lighting, and sensor integration.
  • Optimize vision system parameters for different products and production speeds.
  • Collaboration with Engineering Teams:
  • Work with production engineers, automation engineers, and machine operators to integrate vision systems into existing or new production lines.
  • Coordinate with hardware teams to ensure compatibility with other systems (e.g., robotic arms, conveyors, PLCs).
  • Participate in root cause analysis for system performance issues and implement corrective actions.
  • Documentation & Reporting:
  • Prepare technical documentation, including system specifications, setup guides, troubleshooting procedures, and user manuals.
  • Provide detailed reports on system performance, improvements, and maintenance activities.
  • Document and track all changes to vision system configurations and settings.
  • Training & Support:
  • Provide training to plant operators, maintenance staff, and engineers on the use and maintenance of machine vision systems.
  • Offer technical support for ongoing operations, troubleshooting, and system updates.
  • Assist with training material development and knowledge transfer across teams.
  • Monitor vision system performance and suggest improvements for speed, accuracy, and reliability.
  • Stay current with developments in vision technology, tools, and industry trends, applying best practices and innovations to improve manufacturing processes.

Qualifications:

Education:

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Mechatronics, or a related field.

Experience:

  • 2-5 years of experience working with machine vision systems in an industrial environment.
  • Hands-on experience with machine vision hardware (cameras, sensors, lighting) and software (Cognex VisionPro, Halcon, NI Vision, etc.).
  • Experience in programming vision systems for industrial applications (quality inspection, measurement, robotic guidance, etc.).
  • Strong knowledge of image processing techniques and algorithms (e.g., edge detection, pattern recognition, object tracking).
  • Familiarity with integration of machine vision systems with PLCs, robots, and other automation systems.
  • Proficiency in vision programming software and languages such as Cognex VisionPro, LabVIEW, Halcon, or equivalent.
  • Understanding of camera calibration, lighting techniques, and lens selection for different applications.
  • Strong troubleshooting and problem-solving skills in vision systems and industrial environments.
  • Ability to read and interpret electrical, mechanical, and optical schematics.

Desired Attributes:

  • Experience with advanced vision technologies such as 3D vision, multi-camera setups, and deep learning for vision applications.
  • Knowledge of communication protocols like Ethernet/IP, Modbus, or OPC for system integration.
  • Previous experience with industrial automation and robotics is a plus.
Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Production, Engineering, and Manufacturing
  • Industries
    Manufacturing, Industrial Machinery Manufacturing, and Appliances, Electrical, and Electronics Manufacturing

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