Siemens Energy

A Snapshot of Your Day

Create smart assistive tools to enhance design decisions, build an internal knowledge base to activate engineering expertise, and automate core workflows to boost productivity.

How You’ll Make an Impact

• Digitalization & Insight for R&D：dentify and analyze key data points and optimization opportunities across the R&D lifecycle, building interactive dashboards to turn complex data into clear insights.
• R&D Efficiency Toolchain Development: Create smart assistive tools to enhance design decisions, build an internal knowledge base to activate
  engineering expertise, and automate core workflows to boost productivity.
• Emerging Tech Exploration & Prototyping: Track cutting-edge technologies like AI (especially Generative AI) and rapidly build Proof-of-Concept (PoC) prototypes to inform technology decisions.
• Project Implementation & Coordination: Manage the end-to-end delivery of small to medium-sized applications and act as the core technical lead on larger projects, coordinating internal and external resources.

What You Bring

• Education: Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, Automation, or a related engineering field.

• Bonus Points:
  Front-end development experience (e.g., Vue, React).
  Experience in digital transformation projects in industrial or B2B sectors.
  Experience managing outsourced software projects.
  Familiarity with a major cloud platform (AWS, Azure, etc.).

• AI Foundation: Solid understanding of fundamental Machine Learning concepts. A strong interest in and foundational knowledge of Large Language
  Models (LLMs) is highly desirable. Practical experience leveraging APIs from major AI platforms or using open-source frameworks (e.g., LangChain,
  Hugging Face) is a major plus.

• Data: Strong data processing and analysis skills; expert in SQL. Hands-on experience with data visualization tools (e.g.,Alteryx, Tableau, ECharts).

• Language: Good English (reading and writing) for technical documentation and communication.

• Software Engineering: Adherence to software engineering best practices, including version control with Git, unit testing, and CI/CD concepts.

• Programming: Proficiency in Python and its ecosystem (e.g., Pandas, NumPy, Scikit-learn). Experience building APIs with web frameworks (e.g.,
  FastAPI, Flask) is essential.

• Experience: 3+ years of relevant experience with a proven track record in data analysis, software development, or AI application deployment.

About the Team

Our Grid Technologies division is at the forefront of crafting a reliable, balanced, and digital grid. The power grid is the backbone of the energy transition, and Siemens Energy offers a world-class portfolio and solutions in HVDC transmission, grid stabilization and storage, high voltage switchgears, transformers, and digital grid technology.

Who is Siemens Energy?

Siemens Energy, with 100,000 employees across 90 countries, innovates energy solutions for the future.

Our distributed team is committed to making balanced, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards/Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health and wellness plans.
• Opportunities for career development and continuous learning.
• Flexible work arrangements to support work-life balance.
• Inclusive and collaborative company culture.
• Employee recognition programs.