Senior Software Engineer - Machine Vision Cameras Software Development ON SITE

Our client is seeking a talented and motivated Software Engineer specializing in Machine Vision Cameras to join their development team. This role will involve building and optimizing software for industrial-grade machine vision cameras, focusing on cross-platform solutions for both Linux and Windows environments. If you are a skilled developer with a passion for machine vision technology, we’d like to meet you!

Tasks

Responsibilities:

• Design, develop, and maintain software for machine vision cameras, ensuring high performance and reliability across Linux and Windows platforms.
• Work on cross-platform programming with a strong emphasis on C/C 17 and the Qt framework.
• Manage and integrate code using source control systems (SVN/Git) to support robust software development practices.
• Collaborate with a multidisciplinary team to create innovative solutions for machine vision applications.
• Develop and optimize code for video processing (FFmpeg) and image analysis using OpenCV.
  
  
  

Requirements

Mandatory Requirements:

• Programming Languages: Strong knowledge and experience in C/C 17.
• Frameworks: Proficiency in the Qt framework on both Linux and Windows platforms.
• Cross-Platform Programming Skills: Ability to create and maintain code that works on multiple operating systems.
• Source Control Systems: Experience with SVN and Git.
• Network Protocols: Knowledge of OSI Model, Ethernet, UDP for camera communication.
• USA Citizen or permanent resident status in the USA is required.
  
  
  

Additional Qualifications (Preferred):

• Additional Programming Skills: Python and .NET (C# or VB.NET) for supplementary development tasks.
• Build System: Experience with CMake for managing the build process.
• Multimedia Processing: Experience with Ffmpeg, and GStreamer for handling the video files and streaming.
• Computer Vision: Familiarity with OpenCV for image and video processing.
• Network Protocols: Knowledge of PTP (IEEE-1588) network protocol
• AI and Machine Learning: Experience with AI frameworks and libraries such as PyTorch, TensorFlow, and YOLO for implementing advanced vision and detection capabilities.
  
  
  

Preferred Industry Experience:

• Practical experience with industrial machine vision protocols, such as GigE Vision, USB3 Vision, CoaXPress, and Camera Link.
  
  
  

Educational Background

• Master’s degree in Engineering, Computer Science, Electrical Engineering, Physics, or a related technical field.
  
  
  

Benefits

Benefits:

• 401(k) Plan: Employer-matching contributions to support your retirement savings.
• Medical and Dental Insurance: Comprehensive health coverage to ensure your well-being and peace of mind.
• Competitive Compensation Package: Includes salary, potential bonuses, and performance-based incentives.
• Professional Development: Opportunities to enhance your skills in a growing and innovative field.
  
  
  

Why Join Us?

• Be part of an innovative team working with cutting-edge machine vision and AI technologies.
• Engage in impactful projects that leverage industrial camera systems and AI-driven solutions for a variety of applications.
• Opportunities to grow and expand your technical skill set in a supportive, collaborative environment.