Job ID: 511305
Posted since: 23-Jun-2026
Organization: Digital Industries
Field of work: Research & Development
Company: Siemens Industry Software Limited
Experience level: Mid-level Professional
Job type: Full-time
Work mode: Hybrid (Remote/Office)
Employment type: Permanent
Location(s):
- Cambridge - Cambridgeshire - United Kingdom
About Siemens Digital Industries Software
Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.
Position Overview
Are you a bright, enthusiastic, and driven AI graduate eager to launch your career in industrial technology from the vibrant innovation hub of Cambridge, UK? At Siemens Digital Industries, based in the heart of Cambridge's thriving tech ecosystem, we're at the forefront of the fourth industrial revolution, creating the digital enterprise of tomorrow. We believe that artificial intelligence is a key driver of this transformation, and we're looking for passion minds like yours to join our dynamic teams as an AI Graduate Software Engineer.
This Level 1 role is designed for exceptional graduates ready to dive into real-world AI challenges. You'll work on impactful projects, contribute to cutting-edge solutions, and receive dedicated mentorship from an AI Development/Research Leader. This is your opportunity to apply your academic knowledge to practical industrial problems, develop your technical skills, and grow into a future AI expert within a world‑class organisation right here in one of the UK's most innovative cities.
Key Responsibilities
- Contribute to AI development by working as part of a team to develop, test, and implement AI/Machine Learning models and algorithms that address specific industrial problems within the Digital Industries portfolio, such as predictive maintenance modules, autonomous systems data preparation, quality control applications, and digital twin initiatives
- Learn and apply state‑of‑the‑art AI techniques and tools to real‑world datasets and challenges under the guidance of experienced engineers and your AI Development/Research Leader
- Write clean, efficient, and well‑documented code in relevant programming languages (primarily Python, C++) to implement AI algorithms, data pipelines, and software components
- Assist with data collection, cleaning, pre‑processing, and feature engineering to prepare datasets for model training and evaluation
- Support the testing, validation, and performance evaluation of AI models, contributing to their robustness and reliability
- Collaborate closely with senior engineers, domain experts, and researchers to understand project requirements and integrate AI components into larger software systems and platforms
- Actively participate in a structured graduate program, engage in continuous learning through internal training and workshops, and stay informed about new AI advancements
- Clearly document your work and communicate progress and findings to your team and mentor
Qualifications
Required:
- Bachelor's, Master's, (or equivalent) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Applied Mathematics, or a closely related quantitative field, obtained within the last 1–2 years
- Solid theoretical understanding of core AI/ML concepts such as supervised/unsupervised learning, basic deep learning architectures, and data science fundamentals
- Proficiency in at least one major programming language for AI development (e.g., Python, C++)
- Familiarity with relevant AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit‑learn, or Keras
- Understanding of data structures, algorithms, and good software engineering practices
- Some hands‑on experience with AI/ML projects through academic coursework, research, internships, or personal projects
Preferred:
- CUDA/Graphics Card programming
- Experience with specific AI/ML tasks such as computer vision, natural language processing, or time‑series analysis
- Familiarity with version control systems such as Git
- Basic understanding of cloud platforms such as AWS, Azure, or GCP, or MLOps concepts
- Exposure to industrial domains such as manufacturing, automation, or energy systems
- Unrestricted right to work in the UK
Why Us
At Siemens Software, flexibility is how we work—hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!
Our Commitment to Equity and Inclusion
We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.
Our Benefits & Rewards
The actual compensation offered is based on the successful candidate's job‑related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: SIEMENS Benefit link
