Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Research and develop AI techniques to enhance cybersecurity for next-gen networks.
- Company: Join NVIDIA, a leader in AI and high-performance computing innovation.
- Benefits: Competitive salary, cutting-edge projects, and opportunities for professional growth.
- Why this job: Make a real-world impact on cybersecurity while working with groundbreaking technologies.
- Qualifications: PhD or MSc in relevant fields with 5+ years of experience in AI and cybersecurity.
- Other info: Collaborative environment with a focus on creativity and autonomy.
The predicted salary is between 48000 - 72000 £ per year.
NVIDIA is a leader in accelerated computing, driving innovation across industries with groundbreaking technologies in AI, graphics, and high‐performance computing. Our networking products, including InfiniBand and Ethernet solutions, power some of the world's largest data centres, enabling unparalleled scalability and efficiency for AI and scientific workloads. In the realm of security, NVIDIA has a long history of providing secure solutions for AI products and securing the AI pipeline.
We are seeking expert AI engineers passionate about advancing cybersecurity research to join our team. This is an opportunity to work on groundbreaking projects that involve AI to secure high‐performance networking systems.
Responsibilities- Research novel AI techniques to secure next‐generation networks and apply them to existing NVIDIA products.
- Investigate and analyze network telemetry for indicators of vulnerabilities in secure environments.
- Collaborate with NVIDIA researchers to explore innovative ways to improve security in networking products.
- Contribute to projects that have potential real‐world impact on NVIDIA's product portfolio.
- Holding a PhD, MSc, or equivalent experience in Electrical Engineering, Computer Science, or a related field with a focus on AI.
- 5+ years of relevant experience.
- Experience with innovative AI tools, frameworks, and methods related to cybersecurity incident detection and prevention.
- Background in cybersecurity, networking (TCP/IP), and network security (TLS/IPSec).
- Solid programming skills and a deep understanding of secure system design.
- PhD with a track record of publication in top peer‐reviewed AI conferences or equivalent experience leading AI projects.
- Expertise with LLMs and recent advancements in neural networks.
- Architectural knowledge of system security.
- Understanding of common attack vectors targeting network devices and methods to mitigate them.
- A proven track record to translate sophisticated research into practical solutions.
Join us at NVIDIA to push the boundaries of cybersecurity research! We are widely considered one of high‐technology's most desirable employers. Our inventions have revolutionized parallel computing and our GPUs are used in many of the largest high‐performance computing projects worldwide. If you're creative, autonomous, and highly motivated, we want to hear from you.
Senior AI Engineer and Security Architect in Bristol employer: Nvidia
Contact Detail:
Nvidia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer and Security Architect in Bristol
✨Tip Number 1
Network like a pro! Attend industry meetups, conferences, or webinars related to AI and cybersecurity. It's a great way to connect with like-minded folks and maybe even meet someone from NVIDIA!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and security. This can really help you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and cybersecurity questions. 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 at NVIDIA. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Senior AI Engineer and Security Architect in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer and Security Architect role. Highlight your relevant experience in AI, cybersecurity, and networking. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and cybersecurity. Share specific examples of your work that demonstrate your expertise and how you can contribute to our team.
Showcase Your Projects: If you've worked on innovative AI projects or have publications in top conferences, make sure to mention them! We love seeing real-world impact, so don’t hold back on sharing your achievements.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Let’s get started on this exciting journey together!
How to prepare for a job interview at Nvidia
✨Know Your AI and Security Inside Out
Make sure you brush up on the latest AI techniques and cybersecurity trends. Be ready to discuss your experience with innovative tools and frameworks, especially those related to incident detection and prevention. This will show that you're not just knowledgeable but also passionate about the field.
✨Showcase Your Research Skills
If you've published in top peer-reviewed AI conferences or led significant AI projects, be prepared to talk about them. Highlight how your research can translate into practical solutions for NVIDIA's products. This is your chance to demonstrate your expertise and how it aligns with their goals.
✨Understand Networking Fundamentals
Familiarise yourself with networking concepts like TCP/IP and network security protocols such as TLS/IPSec. Be ready to discuss common attack vectors and how to mitigate them. This knowledge will be crucial in showcasing your fit for the role and your ability to contribute to their projects.
✨Be Collaborative and Creative
NVIDIA values creativity and collaboration, so think of examples where you've worked with others to solve complex problems. Share how you’ve contributed to team projects and how your creative thinking has led to innovative solutions. This will help you stand out as a candidate who can thrive in their dynamic environment.
