7 дней назад
Embedded AI Security Research Engineer (AI MSc / PhD / Postdoc) (m/f/d)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Embedded AI Security Research Engineer (AI MSc / PhD / Postdoc) (m/f/d) (AI Security): Researching and prototyping technologies that protect AI models, algorithms, and data for embedded semiconductor platforms with an accent on adversarial AI, privacy-preserving machine learning, and trustworthy AI. Focus on securing AI workloads, building experimental prototypes, and transforming research ideas into products for automotive, industrial, IoT, and edge applications.
Location: Gratkorn, Austria; home office and flexible working time are provided.
Company
develops semiconductor technologies for automotive, industrial, IoT, and edge applications.
What you will do
- Protect AI models, algorithms, and data from emerging security threats.
- Research and prototype AI security technologies, including adversarial AI, model extraction protection, privacy-preserving AI, and trustworthy AI.
- Secure AI workloads running on advanced semiconductor platforms.
- Turn research ideas into working prototypes and future product concepts.
- Collaborate with specialists in AI, security, software, hardware, and silicon engineering.
Requirements
- Recently completed or nearly completed 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 with AI or machine learning, deep learning, large language models, adversarial machine learning, AI security, or privacy-preserving AI.
- Knowledge of trusted execution environments is beneficial for the role.
- Practical experience with PyTorch, TensorFlow, JAX, or similar frameworks.
- Python programming and experimental prototyping skills.
- Security-related responsibilities and work within security certifications require a conscious and reliable working style.
Culture & Benefits
- Research collaborations with leading universities.
- Conference participation and publication opportunities.
- Access to technical experts and mentors.
- Long-term innovation projects and opportunities for continued academic development, including PhD paths.
- Home office, flexible working time, and meal benefits.
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