Love AI? Fascinated by security? Want to work on technology that will power the next generation of intelligent devices?

Join NXP's Innovation Team and help secure tomorrow's AI-powered edge products. You'll explore cutting-edge topics such as AI model protection, adversarial AI, privacy-preserving machine learning, agentic AI security, confidential computing, and trustworthy AI.

This is an opportunity to turn bold ideas into real technologies that can scale across automotive, industrial, IoT, and edge applications used by millions worldwide.

We're looking for curious minds, AI enthusiasts, researchers, builders, and innovators. Whether you've recently completed a PhD, Postdoc, or an exceptional AI-focused Master's degree, we'd love to hear from you.

What you'll do:

• Protect AI models, algorithms, and data from emerging threats.
• Research and prototype next-generation AI security technologies.
• Explore adversarial AI, model extraction attacks, privacy-preserving AI, and trustworthy AI.
• Secure AI workloads running on advanced semiconductor platforms.
• Transform research ideas into working prototypes and future product concepts.
• Collaborate with experts in AI, Security, Software, Hardware, and Silicon Engineering.

What We're Looking for:

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

This role is for people who:

• Read AI papers because they genuinely enjoy it.
• Experiment with the latest models and frameworks in their spare time.