AI Framework Engineer — Advanced Simulation & ROMs

Siemens; Wien; Vor Ort; EUR 71.000 - 120.000; Vollzeit

Zusammenfassung

Siemens is seeking an AI Framework Developer to advance the AI Agent framework and integrate Simcenter Physics AI capabilities within STAR-CCM+. You will be part of the Interoperability division, collaborating with multiple teams to push the boundaries of AI in high-fidelity simulation.

The role focuses on MCP, LLM integration, and AI ROM development to accelerate workflows and improve predictive accuracy. The ideal candidate will contribute to architectural design, code development, and

Qualifikationen

• Experience with Linux and Windows operating systems.
• Strong programming in Java and C++.
• Experience with the Java ecosystem for packaging and virtual environments.
• Familiarity with process management, output, and error handling on Linux and Windows.
• Solid understanding of network and file systems, including parallel file systems.
• Good understanding of object-oriented design principles.
• Ability to navigate large, established codebases.
• Proficient with distributed version control systems, especially Git.
• Excellent ability to communicate complex technical issues clearly.
• Ability to prioritize multiple tasks with minimal supervision.

Aufgaben

• Collaborate as part of a large, distributed, agile team of developers, testers and managers.
• Use Jira, Confluence, Git, GitLab and Bitbucket for project and code management.
• Participate in peer-based code and design reviews to ensure quality.

Kenntnisse

Linux/Windows

Java

C++

OO Design

Communication

Autonomy

Tools

Jira

Confluence

Git

GitLab

Bitbucket

Jobbeschreibung

Siemens is seeking an AI Framework Developer to advance the AI Agent framework and integrate Simcenter Physics AI capabilities within STAR-CCM+. You will be part of the Interoperability division, collaborating with multiple teams to push the boundaries of AI in high-fidelity simulation.

The role focuses on MCP, LLM integration, and AI ROM development to accelerate workflows and improve predictive accuracy. The ideal candidate will contribute to architectural design, code development, and