Staff Software Engineer: Algorithms for Scientific Data

Bruker; Billerica (MA); Remote; USD 107.000 - 190.000; Vollzeit

Zusammenfassung

Bruker is seeking a hands-on Staff Software Engineer to lead design, implementation, validation, and productization of algorithms for scientific data analysis in Windows desktop applications.

You will work with C++/C#/Python, apply signal and image processing, and guide cross-functional teams to deliver production software for Bruker’s nano-scale AFM instrument lines. Remote/hybrid collaboration is supported.

Qualifikationen

• 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: 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 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 use of GitHub Copilot or comparable AI coding agents on production software; able to discuss examples across development activities.
• Ability to collaborate clearly with engineers and scientists, communicate complex technical ideas and risks, and lead technical work without direct authority.

Aufgaben

• 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 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; 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 hands-on while providing technical direction and raising quality across a small cross-functional team.
• Use VS Code and AI coding agents as core engineering tools across the lifecycle with rigorous technical judgment.

Kenntnisse

Windows app development

C++/STL

C#/.NET/WPF

Python

Machine learning

Multithreading

Algorithm development

AI coding agents

Team collaboration

Ausbildung

MS/PhD in CS/EE/Math/DS

BS with experience in instrumentation/algorithms

Tools

VS Code

Visual Studio

MFC

Python integration

Jobbeschreibung

Bruker is seeking a hands-on Staff Software Engineer to lead design, implementation, validation, and productization of algorithms for scientific data analysis in Windows desktop applications.

You will work with C++/C#/Python, apply signal and image processing, and guide cross-functional teams to deliver production software for Bruker’s nano-scale AFM instrument lines. Remote/hybrid collaboration is supported.