Senior Windows Instrumentation Software Engineer

Bruker Daltonics; Santa Barbara, Santa Maria (CA, CA); On-site; USD 107,000 - 190,000; Full time

Benefits offered by this job

401(k) matching

Employee stock purchase plan

Medical and dental plans

Paid time off

Job summary

Bruker Daltonics seeks a hands-on Staff Software Engineer to lead design, implementation, validation, and productization of algorithms for scientific data analysis in Windows desktop environments. Expect modern C++, C#/.NET/WPF, and bundled instrument integration with a strong emphasis on AI-assisted coding and team collaboration.

The role focuses on signal and image processing, numerical methods, and machine learning to deliver production software for AFM and metrology instruments.

Qualifications

• 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 structures, 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 AI coding agents on production software; able to discuss examples.

Responsibilities

• 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.
• Use VS Code and AI coding agents as core engineering tools across the software development lifecycle while applying rigorous technical and scientific judgment to all generated work.

Skills

Signal processing

Image processing

Machine learning

C++/STL

C#/.NET/WPF

Multithreaded/async

API design

Team collaboration

Education

MS/PhD in CS/EE/DS/Physics

BS with experience considered

Tools

VS Code

Visual Studio

Python

C++/CLI

Job description

Bruker Daltonics seeks a hands-on Staff Software Engineer to lead design, implementation, validation, and productization of algorithms for scientific data analysis in Windows desktop environments. Expect modern C++, C#/.NET/WPF, and bundled instrument integration with a strong emphasis on AI-assisted coding and team collaboration.

The role focuses on signal and image processing, numerical methods, and machine learning to deliver production software for AFM and metrology instruments.