Sr. Software Architect (53524)

We Are Seeking A Senior 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.

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.

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
• Expert in C#, .NET Core, and 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).
• 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

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).