Siemens Agentic AI Domain-Specific LLM Developer 

India, Haryana, Gurugram District 

907403121

oriented:

• Design, develop, and implement cybersecurity solutions using NVIDIA Morpheus Cyber AI framework, NVIDIA AgentIQ toolkit, NVIDIA Blue Field, Domain-Specific LLM, Open API, and OpenUSD.
• Collaborate with cross-functional teams to integrate AI-driven security features into the Grid Cybersecurity platform.
• Analyze and process large datasets to identify and mitigate potential published and zero-day OT/ICS vulnerabilities.
• Develop and maintain robust, scalable, and secure software CI/CD processes and have experience with DevSecOps software composition analysis tools.
• Troubleshoot, debug, and optimize existing software for improved performance and security.
• Stay up to date with the latest advancements in AI and cybersecurity to ensure our platform remains at the forefront of innovation.

We don’t need superheroes, just super minds:

• Bachelor master’s degree in Artificial Intelligence, OT/ICS Cybersecurity, Computer Science, Embedded Device Engineering, or a related field.
• Proven experience with NVIDIA Morpheus Cyber AI framework and comparable AI frameworks.
• Experience with operational technology (OT)/industrial control systems (ICS) critical infrastructure cybersecurity technologies.
• Strong programming skills in Python. Additional languages such as C++ or Java is a plus.
• Commercial product experience with AI, machine learning, and customizing common AI frameworks for specific use cases.
• Strong experience with DevOps, DevSecOps, AIOps/AI Governance, and MLOps.
• Stay up to date on new developments in AI for Cybersecurity.
• Experience presenting at technical conferences is a plus.
• Experience with AI trust documentation projects.
• Ability to work collaboratively in a fast-paced, dynamic environment.
• Excellent innovation, problem-solving, and communication skills.
• Familiarity with project management systems, including Jira or Trello.
• Familiarity with Software Bill of Materials (SBOM) for vulnerability management.
• Experience with grid computing and large-scale distributed data processing.
• Knowledge of private cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of networking protocols and security measures.
• Experience with digital twins for cybersecurity.