Software Development Engineer IV – Algorithms, Scientific Data

Bruker

Staff Software Engineer developing algorithms for scientific data analysis in AFM technology. Leading the design and implementation of production software in a cross-functional team environment.

Posted 7/21/2026full-timeSanta Barbara • California • 🇺🇸 United StatesMid-LevelSenior💰 $119,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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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.

Highest-signal resume keywords

C++ Application DevelopmentC#/.NET/WPF DevelopmentSignal ProcessingMachine LearningTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Algorithm DevelopmentImage ProcessingStatistical AnalysisNumerical MethodsPattern RecognitionObject-Oriented DesignAPI DesignPerformance OptimizationMultithreaded ProgrammingData Validation

Soft Skills

CollaborationTechnical CommunicationLeadership

Tools & Technologies

GitHub CopilotWindows ApplicationsData Acquisition SystemsAutomation Tools

Industry Keywords

Data Analysis SystemsScientific AlgorithmsComputationally Intensive ProcessingCross-Functional Team Collaboration

Tech Stack

Tools & technologies

.NETPythonWPF

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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 GitHub 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.

Benefits

Comp & perks

Performance-related incentive
401(k) with company match
Employee stock purchase plan
Medical and dental plans
Life insurance
Short-term and long-term disability insurance
Employee assistance program
Paid time off including vacation, sick time and holidays