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- Tasks: Develop security tools for AI systems and ensure compliance with ML security standards.
- Company: Join our innovative team at the forefront of AI and security.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by building secure AI solutions and exploring cutting-edge technologies.
- Qualifications: Background in Computer Science or Machine Learning with a passion for cybersecurity.
- Other info: Dynamic environment with hands-on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Join our Innovation Team, where we explore cutting-edge concepts at the intersection of Machine Learning and Security. Our mission is to develop forward-looking solutions—such as model protection, privacy-preserving ML, security for agentic AI, and anomaly detection—that will later be integrated into our Edge products. This requires high-level innovation skills combined with a hands-on mindset. If you are passionate about building secure AI systems, exploring new ideas, and turning concepts into prototypes, this role is for you:
- Develop security tools and frameworks for Bring Your Own Model (BYOM) workflows and perform threat modeling for ML pipelines.
- Ensure proactive detection of vulnerabilities and compliance with emerging ML security standards.
Responsibilities
- Build security scanning tools for ML artifacts and deployment workflows.
- Design secure APIs for model integration on embedded platforms.
- Perform threat modeling for ML systems (poisoning, evasion, prompt injection).
- Implement monitoring solutions for model integrity and anomaly detection.
- Ensure compliance with NIST AI Risk Management Framework and similar standards.
- Collaborate with internal teams to integrate security checks into development pipelines.
Required Skills
- Have a background in Computer Science, Cybersecurity, or Cryptography and a strong interest in applied ML, OR Have a background in Machine Learning and an interest in cybersecurity.
- Strong Python development for automation and tooling.
- Experience with threat modeling methodologies adapted for ML systems.
- Knowledge of adversarial ML attacks and defenses.
- Familiarity with secure API design and integration.
- Understanding of compliance frameworks (NIST AI RMF, ISO/IEC AI security standards).
Junior Embedded AI Platform Security Engineer (m/f/d) in Leven employer: NXP Semiconductors
Contact Detail:
NXP Semiconductors Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Embedded AI Platform Security Engineer (m/f/d) in Leven
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI security and threat modeling. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to ML security and threat modeling. Practice explaining your thought process and how you approach problem-solving in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Junior Embedded AI Platform Security Engineer (m/f/d) in Leven
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for AI and security shine through! We want to see that you’re genuinely excited about building secure AI systems and exploring new ideas.
Tailor Your CV: Make sure your CV highlights relevant experience in Computer Science, Cybersecurity, or Machine Learning. We love seeing how your background aligns with the role, so don’t hold back on showcasing your skills!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure to communicate your thoughts effectively without unnecessary fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at NXP Semiconductors
✨Know Your Stuff
Make sure you brush up on your knowledge of Machine Learning and Cybersecurity. Be ready to discuss specific concepts like adversarial ML attacks, threat modeling methodologies, and secure API design. The more you can demonstrate your understanding, the better!
✨Show Your Passion
This role is all about innovation and building secure AI systems. Share your enthusiasm for exploring new ideas and turning them into prototypes. Talk about any personal projects or experiences that highlight your passion for both ML and security.
✨Prepare for Technical Questions
Expect some technical questions related to Python development, security scanning tools, and compliance frameworks like NIST AI RMF. Practise explaining your thought process and problem-solving approach, as this will showcase your hands-on mindset.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, challenges they face in integrating security checks, or how they stay updated with emerging ML security standards. This shows your genuine interest in the role and the company.
