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- Tasks: Develop security tools for AI systems and ensure compliance with ML security standards.
- Company: Join a forward-thinking team at NXP, focused on innovation and growth.
- Benefits: Access to learning opportunities, competitive salary, and a supportive work environment.
- Why this job: Be at the forefront of AI security and make a real impact in tech.
- Qualifications: Background in Computer Science or Machine Learning with a passion for cybersecurity.
- Other info: Dynamic role with excellent career development prospects.
The predicted salary is between 28800 - 48000 £ 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.
- 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.
- 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 Glasgow 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 Glasgow
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI and security. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on relevant topics like threat modeling and secure API design. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Junior Embedded AI Platform Security Engineer (m/f/d) in Glasgow
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 the role and how it fits into our mission of developing innovative solutions.
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. We love seeing how your background in Computer Science, Cybersecurity, or Machine Learning can contribute to our team.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Junior Embedded AI Platform Security Engineer role.
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 threat modeling and adversarial attacks, as well as how they relate to the role. This shows you're not just interested in the job, but that you understand the field.
✨Show Off Your Projects
If you've worked on any relevant projects, whether in school or on your own, be prepared to talk about them. Highlight your experience with Python development, security tools, or any prototypes you've built. Real-world examples can really make you stand out!
✨Ask Smart Questions
Prepare some insightful questions about the company's approach to AI security and their current projects. This not only shows your enthusiasm for the role but also your critical thinking skills. It’s a great way to demonstrate that you’re already thinking about how you can contribute.
✨Be Ready to Collaborate
Since the role involves working with internal teams, be ready to discuss how you’ve collaborated in the past. Share examples of how you’ve integrated security checks into workflows or worked on team projects. This will highlight your teamwork skills and adaptability.