Siemens Energy Graduate Program - Process Engineer in Manufacturing (m/f/d)

Whether you’re a recent graduate or have a few years of experience, you are the future of innovation and leadership. That’s why the global Siemens Energy Graduate Program can help you unleash your full potential. With guidance from experienced mentors, extensive training opportunities, and the chance to expand your global network, you will grow both your career and your personal capabilities.

What You Can Expect

Over two exciting years, you’ll gain hands‑on experiences and become an active part of your team’s daily activities. Through impactful projects in three customized assignments – including an eight‑month international placement – you’ll gain a deep understanding of Siemens Energy. A dedicated mentor will support you every step of the way, giving you the chance to explore different roles, engage in immersive experiences, and build a strong network with peers and industry leaders.

You’ll be working in the environment of Large Gas Turbine Blades and Vanes (B&V) manufacturing, focusing on automation and digitalisation of manufacturing processes and incorporating the use of AI to enhance the knowledge and efficiency of processes. By applying your knowledge to real environments and scenarios, you’ll contribute to the establishment of a digital twin of our product and factory.

How You’ll Make An Impact

As part of our Graduate Programme, you are on the Siemens Energy team. You’ll share our purpose in energising society by supporting customers with transitioning to a more sustainable world and work on real global issues, creating solutions that directly make an impact.

• Assist senior engineers in technology deep dives and gap analyses between Berlin and partner sites (e.g. Service Centres, external partners)
• Prepare technical comparison decks, process maps, and lessons‑learned summaries to enable knowledge transfer across the global B&V network
• Contribute to pilot use cases around digital twins, AI‑supported analysis, or automation concepts, under guidance from the CoC digital experts

What You Bring

• Strong interest in automation and robotics paired with an analytical approach and effective communication
• Relevant experience through internships and/or working‑student roles is essential, ideally in a manufacturing environment; additional permanent work experience of up to 36 months is welcome
• A master’s or doctoral degree in Engineering, Data Science or Artificial Intelligence
• Minimum of three months of international experience gained through studying or working
• Excellent English and advanced German skills to engage in a multicultural environment, with flexibility and willingness for international travel