Software Development Engineer IV – Algorithms, Scientific Data

• Design, implement, validate, optimize, and deploy algorithms that turn AFM, image, sensor, and metrology data into robust measurements and insights.
• Develop production algorithm and application software using modern C++/STL, C#, .NET, WPF, and Python where appropriate.
• Apply signal processing, image processing, numerical methods, statistical analysis, pattern recognition, and machine learning to challenging real-world measurement problems.
• Translate research concepts and prototypes into maintainable, testable, high-performance product software with clear requirements and measurable performance.
• Build validation strategies using representative datasets, quantitative metrics, uncertainty analysis, and regression tests; clearly communicate algorithm limits and tradeoffs.
• Integrate algorithms into multithreaded Windows applications and instrument workflows spanning data acquisition, hardware control, processing, persistence, visualization, and automation.
• Own architecture for new analysis capabilities and guide their integration into a mature product codebase through sound interfaces, layering, refactoring, and incremental delivery.
• Lead technical investigations and collaborate with applications scientists, systems, hardware, test, and software engineers throughout the product development cycle.
• Remain deeply hands-on while providing technical direction and raising algorithm and software engineering quality across a small cross-functional team.

• 5+ years of professional experience developing production software, scientific algorithms, or data-analysis systems.
• 3+ years of hands-on Windows application development using both C#/.NET/WPF and modern C++/STL.
• Strong foundation in at least two of the following: signal processing, image processing, numerical methods, statistical analysis, pattern recognition, computer vision, or machine learning.
• Demonstrated ability to implement algorithms in C++, C#, or Python and to move them from exploration into tested, maintainable production software.
• Experience defining quantitative validation methods and evaluating algorithm accuracy, robustness, performance, and failure modes using real-world data.
• Strong object-oriented design, API design, debugging, data-structure, and performance-optimization skills.
• Experience with multithreaded or asynchronous software and computationally intensive data processing.
• Demonstrated architecture ownership and technical leadership across algorithm, application, or product boundaries.
• Meaningful, regular use of Git Hub Copilot or comparable AI coding agents on production software. Candidates should be prepared to discuss specific examples spanning multiple development activities and how they ensure technical correctness and maintainability.
• Ability to collaborate clearly with engineers and scientists, communicate complex technical ideas and risks, and lead technical work without direct authority.

Demonstrates expertise in developing and optimizing algorithms for data analysis and measurement, with a strong focus on C++, C#, .NET, and Python. Proven ability to lead technical initiatives and collaborate effectively with cross-functional teams to deliver high-performance software solutions.

• C++ Application Development
• C#/.NET/WPF Development
• Signal Processing
• Machine Learning
• Technical Leadership

• Algorithm Development
• Image Processing
• Statistical Analysis
• Numerical Methods
• Pattern Recognition
• Object-Oriented Design
• API Design
• Performance Optimization
• Multithreaded Programming
• Data Validation

• Collaboration
• Technical Communication
• Leadership

• Data Analysis Systems
• Scientific Algorithms
• Computationally Intensive Processing
• Cross-Functional Team Collaboration

• Git Hub Copilot
• Windows Applications
• Data Acquisition Systems
• Automation Tools