AI Software Engineer (d/w/m) at Danaher Corporation

Mannheim, Baden-Württemberg, Germany

Danaher Corporation Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Life Sciences, Microscopy, BiotechnologyIndustries

Requirements

  • Abgeschlossenes Studium der Informatik, Ingenieurwissenschaften oder Naturwissenschaften sowie mehrjährige Berufserfahrung in AI, ML, NLP, Data Science und Computer Science
  • Ausgeprägte analytische Fähigkeiten und fundiertes Verständnis etablierter AI-Technologien und -Architekturen für RAG, CAG und MCP
  • Sehr gute Kenntnisse in Python und populärer Bibliotheken, insbesondere für die Integration von LLMs, Vektor-Datenbanken, APIs sowie für Datenanalyse und -verarbeitung
  • Erfahrungen und Kenntnisse in C# und C++ sind von Vorteil
  • Sehr gute Kommunikationsfähigkeiten in Deutsch und Englisch
  • Teamorientierung sowie selbstständige und zielgerichtete Arbeitsweise

Responsibilities

  • Entwicklung innovativer, agentenbasierter AI-Softwarelösungen für Mikroskopie-Anwendungen (agentic AI)
  • Verantwortung für den gesamten Software-Lebenszyklus: von der Anforderungsanalyse über die Entwicklung geeigneter Lösungsansätze, Datenanalyse und -verarbeitung bis hin zu Implementierung, Integration, Validierung und Dokumentation
  • Sicherstellung hoher Qualitätsstandards in enger Zusammenarbeit mit dem Quality-Assurance-Team
  • Koordination und Abstimmung der Entwicklungsaktivitäten innerhalb des Projektteams

Skills

Key technologies and capabilities for this role

AIAgentic AISoftware DevelopmentData AnalysisData ProcessingSoftware LifecycleQuality AssuranceC++Python

Questions & Answers

Common questions about this position

Is this position remote or onsite?

The position is onsite at the location in Mannheim.

What skills and experience are required for this role?

Candidates need a degree in Computer Science, Engineering, or Natural Sciences with several years of experience in AI, ML, NLP, Data Science, and Computer Science. Proficiency in Python and popular libraries for LLMs, vector databases, APIs, data analysis, and processing is essential, with C# and C++ experience advantageous. Strong analytical skills, understanding of AI technologies like RAG, CAG, and MCP, plus excellent German and English communication skills are required.

What is the company culture like at Leica Microsystems?

The culture emphasizes customer orientation, innovation, and teamwork as the core of their success, with a focus on continuous improvement to create the best work environment.

What does the role involve?

The role involves developing innovative agent-based AI software solutions for microscopy applications, managing the full software lifecycle from requirements analysis to validation, ensuring quality standards, and coordinating with project teams.

What makes a strong candidate for this position?

A strong candidate has a relevant degree, extensive AI/ML experience, Python expertise for LLM integration and data processing, analytical skills with AI architectures, and team-oriented communication in German and English.

Danaher Corporation

Water quality, diagnostics, and identification solutions

About Danaher Corporation

Danaher Corporation operates in key markets such as water quality, product identification, and diagnostics. The company provides precision instruments and advanced purification technologies for analyzing and managing water, ensuring its safety in various environments. In product identification, Danaher specializes in laser marking, coding, and packaging solutions that help maintain product freshness and accurate labeling throughout the supply chain. In the diagnostics sector, Danaher offers tools and software that enhance diagnostic confidence, enabling healthcare providers to deliver effective care. What sets Danaher apart from competitors is its unique Danaher Business System, which focuses on continuous improvement and empowers employees to drive change. The company's goal is to consistently deliver high-performance products and solutions while maintaining leadership in its markets.

Washington, District of ColumbiaHeadquarters
1969Year Founded
IPOCompany Stage
Industrial & Manufacturing, Healthcare, Consumer GoodsIndustries
10,001+Employees

Risks

Increased competition from Roche and Abbott in AI-driven diagnostics.
Potential regulatory challenges in the EU for water quality sector.
Supply chain vulnerabilities affecting precision instruments sourcing.

Differentiation

Danaher's Danaher Business System drives continuous improvement and superior financial performance.
The acquisition of Cytiva enhances Danaher's capabilities in the biopharmaceutical sector.
Danaher's advanced purification technologies meet increasing demands for sustainable water management.

Upsides

Danaher's investment in AI-driven healthcare solutions boosts its diagnostics capabilities.
Cytiva acquisition expands Danaher's market share in the biopharmaceutical sector.
Point-of-care testing demand drives growth for Danaher's diagnostic tools and software.

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