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 industrialgrade machine vision cameras focusing on crossplatform solutions for both Linux and Windows environments. If you are a skilled developer with a passion for machine vision technology wed 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 crossplatform 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.
- CrossPlatform 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 (IEEE1588) 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
- Masters degree in Engineering Computer Science Electrical Engineering Physics or a related technical field.
Benefits
Benefits:
- 401(k) Plan: Employermatching contributions to support your retirement savings.
- Medical and Dental Insurance: Comprehensive health coverage to ensure your wellbeing and peace of mind.
- Competitive Compensation Package: Includes salary potential bonuses and performancebased 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 cuttingedge machine vision and AI technologies.
- Engage in impactful projects that leverage industrial camera systems and AIdriven solutions for a variety of applications.
- Opportunities to grow and expand your technical skill set in a supportive collaborative environment.