Software Engineer – AI

Overview

Join Siemens Digital Industries as an AI Graduate Software Engineer in Cambridge. You will translate academic AI knowledge into impactful industrial solutions, mentored by an AI leader. You’ll contribute to developing AI/ML models, data pipelines, and software components within cross-functional teams. This program accelerates your growth toward becoming an AI expert in a world-class organisation. A compelling opportunity to shape industrial AI at scale.

Pay / Benefits

• hybrid by default
• health and wellness benefits
• global mobility opportunities
• equitable hiring
• career development and training

Responsibilities

• Develop, test, and implement AI/ML models addressing industrial problems such as predictive maintenance, autonomous systems data prep, quality control, and digital twin initiatives
• Learn and apply state-of-the-art AI techniques under mentorship
• Write clean, efficient code in Python and C++ for AI algorithms and data pipelines
• Assist data collection, cleaning, preprocessing, and feature engineering
• Support testing and evaluation of AI models for robustness and reliability
• Collaborate with senior engineers, domain experts, and researchers to integrate AI into larger software systems
• Participate in structured graduate program with ongoing training and knowledge sharing
• Document work and communicate progress to team and mentor

Key requirements

• Bachelor’s, Master’s, or equivalent in Computer Science, AI, ML, Data Science, Electrical Engineering, Applied Mathematics, or related field
• Solid understanding of core AI/ML concepts
• Proficiency in Python or C++
• Familiarity with TensorFlow, PyTorch, scikit-learn, or Keras
• Understanding of data structures, algorithms, and software engineering practices
• Hands-on AI/ML project experience during studies or internships

• Collaborative mindset
• Strong communication
• Curiosity and willingness to learn
• Python
• C++
• TensorFlow

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