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- Tasks: Develop security tools for AI systems and ensure compliance with ML security standards.
- Company: Join NXP, a leader in innovation at the intersection of AI and security.
- Benefits: Flexible working hours, home office options, and professional development opportunities.
- Why this job: Be part of a team that shapes the future of secure AI technology.
- Qualifications: Background in Computer Science or Machine Learning with a passion for cybersecurity.
- Other info: Dynamic work environment with excellent career growth potential.
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.
- 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).
Please note: The successful candidate may/will be responsible for security related tasks. The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary.
For Austrian Applicants: NXP provides market competitive compensation according to the benchmarking of the electronic and semiconductor industry. Due to the Austrian Equal Treatment Act we are obligated to state the employment group of our applicable collective bargaining agreement (CBA) "Kollektivvertrag für Angestellte Gewerbe und Handwerk und in der Dienstleistung", this position (fulltime) is graded in Employment Group V. Your individual experiences and expectations will be considered in the application process. Moreover, we provide attractive benefits to our employees like home office, flexible working time, meal benefits and more.
We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills.
Embedded AI Platform Security Engineer in Glasgow employer: NXP Semiconductors
Contact Detail:
NXP Semiconductors Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Embedded AI Platform Security Engineer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and security. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to embedded AI and security. We recommend doing mock interviews with friends or using online platforms.
✨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 proactive!
We think you need these skills to ace Embedded AI Platform Security Engineer in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Embedded AI Platform Security Engineer role. Highlight your background in Computer Science, Cybersecurity, or Machine Learning, and don’t forget to mention any relevant projects or tools you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your passion for building secure AI systems. Share specific examples of how you've tackled challenges in ML security or threat modeling, and let your enthusiasm shine through!
Showcase Your Technical Skills: We want to see your strong Python development skills and any experience with security scanning tools or secure API design. Be sure to include these in your application to demonstrate your hands-on mindset and innovation skills.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to review your application and get you one step closer to joining our Innovation Team!
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 tools and frameworks you've worked with, especially those related to security scanning and threat modelling for ML systems.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've completed, particularly those involving secure API design or anomaly detection. Bring examples that demonstrate your hands-on experience and innovation skills in building secure AI systems.
✨Understand Compliance Standards
Familiarise yourself with compliance frameworks like the NIST AI Risk Management Framework. Be prepared to discuss how you've ensured compliance in past roles or how you would approach it in this position.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to security in AI and how they integrate security checks into their development pipelines. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
