Security Research Architect

Germany
2 days ago
£40,000 – £80,000 pa

Salary

£40,000 – £80,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Remote
Seniority
Senior
Education
Degree
Posted
5 May 2026 (2 days ago)

Benefits

Highly competitive salaries Comprehensive benefits package

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

What you'll be doing:

  • Design and implement security solutions throughout all layers from high-level applications, OS, and drivers to device firmware.

  • Work on novel security projects involving both hardware and software.

  • Provide insight and technical guidance and collaborate with peers from across the company, including architecture, marketing, and engineering departments.

  • Collaborate with NVIDIA partners and customers

  • Research, build, develop, and implement architecture solutions for security features in networking products.

  • Architectural modeling and validation, following standards bodies.

  • Work with customers and partners to identify and address security issues and threats.

What we need to see:

  • BSc, MS, or PhD in Electrical Engineering, Computer Science, or Computer Engineering, or equivalent experience.

  • 4+ years of proven experience.

  • Understanding of operating systems design, including concurrency, virtual memory, caching, and interrupts.

  • Proven ability to learn complex concepts in a fast-pace environment.

  • Programming and debugging fundamentals across languages such as Python, and C/C++.

  • The ideal candidate will thrive within an inclusive group, possessing strong communication skills and a true passion for collaboration.

  • Proven track record of leading features across teams.

Ways to stand out from the crowd:

  • Familiarity with high-bandwidth networking protocols such as RDMA.

  • Experience in PCIe devices and switches.

  • Background in system security, including Linux security features and confidential computing.

Join us at NVIDIA to push the boundaries of cybersecurity research!

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Related Jobs

View all jobs
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Security Research Architect

NVIDIA Germany
£40,000 – £80,000 pa Remote

Security Research Architect

£40,000 – £80,000 pa On-site

Security Research Architect

Senior Security Research Architect

NVIDIA Cambridge, United Kingdom

Senior Security Research Architect

NVIDIA Switzerland

Senior Security Research Architect

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.