Embedded AI Security Research Engineer

• Research collaborations with leading universities
• Conference participation and publications
• Access to world-class experts and mentors
• Long-term innovation projects
• Opportunities for exceptional Master’s graduates to pursue further academic development, including PhD paths alongside industry innovation

Build your career. Advance your research. Shape the future of secure AI.

Please note: The successful candidate may/will be responsible for security related tasks. The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary.

You have recently completed (or are close to completing):

• A PhD, Postdoc, or exceptional Master’s degree in AI, Machine Learning, Cybersecurity, Computer Science, Embedded Systems, Cryptography, Electrical Engineering, or a related field.

Ideally, you bring experience in some of the following:

• AI / Machine Learning
• Large Language Models (LLMs)
• Deep Learning
• Adversarial Machine Learning
• AI Security
• Privacy-Preserving AI
• Trusted Execution Environments (TEEs)
• PyTorch, TensorFlow, JAX or similar frameworks
• Python and experimental prototyping

Most importantly, you’re passionate about AI and excited about applying it to real-world products.