Embedded AI Security Research Engineer, AI MSc/PhD/Postdoc

🔥 1 minute ago

🌐 Austria, Belgium – Remote

🇦🇹 Austria – Remote 🇧🇪 Belgium – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NXP Semiconductors

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2006

🏭 Manufacturing

🔧 Hardware

🚘 Automotive

💰 Post-IPO Debt on 2025-01

Manufacturing • Hardware • Automotive

NXP Semiconductors is a global semiconductor company that provides innovative solutions for automotive, Internet of Things (IoT), and industrial applications. They specialize in microcontrollers, secure processors, and wireless connectivity, aiming to drive advancements in smart technologies and applications across various sectors. NXP's focus includes intelligent edge computing, secure authentication, and automotive technologies to meet the evolving needs of consumers and industries.

📋 Description

• 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

🎯 Requirements

• Recently completed or 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 • Experience or knowledge in AI / Machine Learning • Experience or knowledge in Large Language Models (LLMs) • Experience or knowledge in Deep Learning • Experience or knowledge in Adversarial Machine Learning • Experience or knowledge in AI Security • Experience or knowledge in Privacy-Preserving AI • Experience or knowledge in Trusted Execution Environments (TEEs) • Experience with PyTorch, TensorFlow, JAX or similar frameworks • Python and experimental prototyping • Passion for AI and applying it to real-world products • Conscious and reliable way of working for security-related tasks and assignments in scope of security certifications

🏖️ Benefits

• Home office • Flexible working time • Meal benefits • 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