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Siemens, DOE Partner on Genesis Mission for AI Research

by | Mar 11, 2026

Agreement supports AI, simulation and digital infrastructure for DOE science and engineering programs
Image: Siemens

WASHINGTON, DC, Mar 11, 2026 – Siemens has signed a Memorandum of Understanding (MoU) with the U.S. Department of Energy (DOE) to support the Genesis Mission, a federal initiative to modernize U.S. scientific infrastructure. The initiative focuses on using AI, advanced computing, and interoperable digital systems to accelerate research and deployment. The Genesis Mission also aims to strengthen the transition of research from laboratories to industry across key technology sectors. Siemens will contribute expertise in digital engineering, high-fidelity simulation, industrial AI, scientific data lifecycle management, and mission-critical infrastructure.

“The Genesis Mission’s goal of accelerating scientific discovery and scaling it in the real world is a perfect match for our core expertise: combining the real and the digital worlds,” said Roland Busch, president and CEO of Siemens AG. “Our leadership in industrial AI and advanced simulation is proven in national laboratories and industrial ecosystems across the United States and worldwide. We look forward to contributing these capabilities to make the Genesis Mission a success.”

Siemens integrates AI with scientific data, physics-informed simulation, digital twins, automation systems, and secure infrastructure in an industrial technology stack. The company embeds domain-specific AI into engineering, validation, and operational workflows. This approach moves discoveries through simulation, testing, validation, and deployment within an interoperable digital environment.

“Siemens has a long history of trusted partnership with the U.S. government, supporting scientific leadership and industrial competitiveness,” said Ann Fairchild, interim president and CEO, Siemens Corporation. “The Genesis Mission represents an immense opportunity to modernize the digital infrastructure that underpins scientific discovery and innovation. Together with DOE and partners, we can strengthen the connection between research and real-world deployment, accelerating innovation across industry and infrastructure.”

Siemens connects research with deployment through an integrated engineering approach. The framework supports complex physical infrastructure across sectors including energy, manufacturing, and critical infrastructure. Siemens will work with the U.S. Department of Energy, federal partners, and industry organizations under the Genesis Mission.

The collaboration focuses on interoperable digital infrastructure for science and engineering programs. Planned work includes AI-enabled simulation, digital twins, scientific data lifecycle management, lab-to-deployment workflows, and physical infrastructure that supports AI-driven research systems.

Siemens’ participation builds on its engagement with the DOE and the National Laboratories. The company also works on U.S. innovation, manufacturing, and infrastructure programs. Siemens Government Technologies, a wholly owned operating unit for Siemens in the United States, supports collaboration with government researchers. The unit operates under regulatory frameworks and certified procurement and accounting systems and delivers software solutions for government programs.

Source: Siemens

About Siemens Corporation

Siemens Corporation, the U.S. subsidiary of Siemens AG, operates across industry, infrastructure, transportation, and healthcare sectors. Founded in 1847, Siemens AG has more than 175 years of history and is headquartered in Munich, Germany. Its U.S. operations are based in Washington, D.C. In fiscal year 2024, which ended on September 30, the Siemens Group USA reported revenue of $21.2B. The company maintains 24 manufacturing sites in the United States and employs over 45,000 people, serving customers in all 50 states and Puerto Rico. Siemens focuses on integrating digital and physical technologies to support customer needs in efficiency, urban development, and sustainable transportation. The company applies industrial AI – including generative AI – to use cases across sectors.