Embedded AI Security Engineer: Model Protection & Privacy

NXP Semiconductors; Glasgow; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

NXP Semiconductors in the United Kingdom is seeking an innovative researcher to shape ML security and privacy by design. You will explore model protection, secure packaging, and privacy-preserving inference for edge AI products, turning concepts into prototypes and scalable solutions.

You will work across machine learning, cybersecurity, and cryptography, applying TEEs and regulatory awareness to guard data and IP while enabling secure, high‑impact AI deployments for customers and partners.

Qualifications

• Background in Computer Science, Cybersecurity, or Cryptography with applied ML interest.
• Knowledge of model protection techniques and IP security.
• Familiarity with adversarial ML attacks and defenses.
• Understanding of TEEs and secure enclaves.
• Knowledge of privacy-preserving ML concepts (differential privacy, federated learning basics).
• Awareness of regulatory frameworks for AI security and privacy.

Responsibilities

• Design and implement model obfuscation and secure packaging techniques.
• Develop IP protection strategies.
• Enable secure execution environments for customer models using TEEs.
• Assess and mitigate adversarial ML threats.
• Define privacy-preserving inference mechanisms.

Skills

Machine Learning

Cybersecurity

Cryptography

TEEs / secure enclaves

Privacy-preserving ML

Regulatory awareness (GDPR)

Education

Computer Science or related field

Tools

TEEs (Trusted Execution Environments)

Differential Privacy

Federated Learning basics

Job description

NXP Semiconductors in the United Kingdom is seeking an innovative researcher to shape ML security and privacy by design. You will explore model protection, secure packaging, and privacy-preserving inference for edge AI products, turning concepts into prototypes and scalable solutions.

You will work across machine learning, cybersecurity, and cryptography, applying TEEs and regulatory awareness to guard data and IP while enabling secure, high‑impact AI deployments for customers and partners.