Job Details
Level |
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Experienced |
Job Location |
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Rigaku Americas Corporation - The Woodlands, TX |
Remote Type |
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Fully Remote |
Position Type |
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Full Time |
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Travel Percentage |
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None |
Job Shift |
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Day |
Job Category |
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Engineering |
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Description
Software Engineer Architect - Instrumentation and Workflow Integration
We are seeking a Software Engineer Architect to lead the development of instrument control software and workflows that integrate machine learning and computer vision algorithms into our X-ray inspection systems. This role offers the opportunity to bridge software, hardware, and advanced AI technologies,
enabling seamless and intelligent system performance. Key Responsibilities:
Software Architecture & Development:
- Design and develop scalable, modular, and maintainable software architectures using .NET Framework and .NET Core for Windows-based applications.
- Develop desktop applications using WPF, WinForms, and Qt with a focus on instrument control, real-time data visualization, and high-performance workflows.
- Implement multithreaded, parallel, and asynchronous programming techniques using existing libraries and frameworks
Instrument Workflow Design & Recipe Management:
- Develop and enhance software workflows for instrument operation, including system initialization, calibration, data acquisition, and analysis.
- Collaborate with hardware and application teams to define and implement recipe generation, customization, and execution frameworks.
- Ensure workflows and recipes are modular, reusable, and adaptable to diverse inspection scenarios and configurations.
- Optimize the user interface and backend systems for intuitive recipe creation, editing, and management by end-users.
Machine Learning & Computer Vision Integration:
- Develop and optimize workflows that align machine learning and computer vision algorithms with X-ray inspection tools.
- Partner with AI and algorithm teams to incorporate machine learning models and computer vision techniques into the software pipeline.
- Ensure efficient data processing, model inference, and visualization within the tool's workflow.
Team Collaboration & Leadership:
- Provide technical leadership and mentorship to software development teams, fostering best practices in coding, design, and testing.
- Collaborate with UI/UX engineers to ensure seamless integration of user interfaces with backend systems and workflows.
Testing & Performance Optimization:
- Develop automated and manual testing strategies for validating software functionality and performance.
- Use tools like xUnit, NUnit, or MSTest for unit and integration testing.
- Optimize software for high-speed data processing, low latency, and efficient resource utilization, leveraging performance profiling tools such as Visual Studio Profiler, JetBrains Rider, and ReSharper.
Qualifications
Education & Experience:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- Track record experience in software development, including architecture and leadership roles.
Technical Skills:
- Expertise in the .NET ecosystem, including:
- .NET Framework and .NET Core for developing Windows-based applications
- WPF, WinForms, and/or Qt for user interface development
- Strong proficiency in C# and familiarity with C++ for performance-critical components.
- Extensive experience in multi-threaded and parallel programming, such as:
- Task Parallel Library (TPL), PLINQ, and Async/Await patterns
- Reactive Extensions (Rx.NET) for event-driven and asynchronous programming
- Advanced threading techniques with Thread, ThreadPool, and BackgroundWorker
- Parallel processing with OpenMP or MPI (C++) for high-performance systems
- Familiarity with integrating machine learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV, HALCON).
Preferred Skills:
- Knowledge of X-ray imaging systems, instrumentation, or similar industrial tools.
- Ability to communicate in or understand Japanese.
- Experience with workflow automation and real-time data acquisition systems.
- Familiarity with performance profiling tools such as Visual Studio Profiler, JetBrains Rider, or ReSharper.
- Knowledge of GPU programming for accelerated computations (e.g., CUDA).
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