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At Siemens Energy, we can. Our technology is key, but our people make the difference. Brilliant minds innovate. They connect, create, and keep us on track towards changing the world’s energy systems. Their spirit fuels our mission.
Our culture is defined by caring, agile, respectful, and accountable individuals. We value excellence of any kind. Sounds like you?
Title: Agentic AI and Domain-Specific LLM Developer
We are seeking talented and passionate developers with experience in developing customized solutions based on the NVIDIA Morpheus Cyber AI framework to join our team. In this role, you will be instrumental in the development of a state-of-the-art Grid Cybersecurity software platform designed to safeguard electric sector critical infrastructure from emerging cyber threats.
Your new role – challenging and future-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.
