Siemens is a global technology leader in industry, infrastructure, transport, and healthcare, delivering innovative solutions that enhance efficiency and improve quality of life.
Munich
Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, mobility, and healthcare. The company’s purpose is to create technology to transform the everyday, for everyone. By combining the real and the digital worlds, Siemens empowers customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more livable, and transportation more sustainable. A leader in industrial AI, Siemens leverages its deep domain know-how to apply AI – including generative AI – to real-world applications, making AI accessible and impactful for customers across diverse industries. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. In fiscal 2025, which ended on September 30, 2025, the Siemens Group generated revenue of €78.9 billion and net income of €10.4 billion. As of September 30, 2025, the company employed around 318,000 people worldwide on the basis of continuing operations.
Hybrid · Vaughan
The role involves architecting, implementing, and supporting corporate IT infrastructure including networks, servers, and cybersecurity measures. Key duties include managing daily tickets, overseeing system maintenance, and developing disaster recovery plans to ensure maximum uptime.
Hybrid · Vaughan
The specialist manages the lifecycle of IT, OT, and manufacturing assets, ensuring accurate documentation and security compliance. They coordinate vulnerability remediation, access controls, and technical architecture reviews to mitigate cybersecurity risks.
Hybrid · Kitchener
Develop and maintain automated CI/CD pipelines and infrastructure-as-code to improve platform reliability and engineering productivity. Implement agentic AI tools for code generation, test creation, and automated data quality checks within the Robotics Data Platform.
Hybrid · Kitchener
Design and implement scalable workflow services for task coordination, job execution, and state tracking within the Canada Physical AI platform. Collaborate with architects to evolve the orchestration layer from data-processing pipelines toward robot task execution and machine-level orchestration.
Hybrid · Kitchener
Develop backend services for data ingestion, normalization, and transformation while building APIs for metadata access and workflow interaction. Collaborate with cross-functional teams to implement scalable, event-driven services for industrial robotics and AI platforms.