Senior Silicon Security Architect jobs at Nvidia in United Kingdom

What you'll be doing:

• 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.

What we need to see:

• Holding a PhD or 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.

Ways to stand out from the crowd:

• 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.

• Research formal verification methods to prove the safety of security and communication protocols.

• Collaborate across the networking organization to use formal methods for improving the security of network cards, switches, and DPUs, working with hardware, software, research, and product teams.

• Research, design, develop, and implement architecture solutions for integrating formal verification for security features into networking products.

• Architectural modeling and validation, following standards bodies.

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

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

• 5+ years of proven experience.

• Background in formal verification methods, in at least one of the following: model writing, bounded and unbounded model checking, and symbolic execution.

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

• The ideal candidate will enjoy working in a diverse team, with excellent communication skills and a genuine passion for teamwork.

• Proven track record of leading features across teams.

• Solid programming skills and a deep understanding of secure system building.

• Background in high-bandwidth networking protocols such as RDMA.

• Experience in PCIe devices and switches.

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

• Experience in TLA+

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.

• Engage NCP Partners to develop a deep understanding of their goals, strategies, and technical and business needs – and help to define and deliver high-value solutions that meet these needs,

• Be main central point for NCP ecosystem connection of influencers, system integrators, solution providers, start-ups, growth companies, and enterprises

• Partner with Solution Architects, Business Development, and Channel across regions to drive demand of our AI platforms. You will need to codify the customer value proposition and define the core sales and marketing tools, and training

• Lead a virtual team of technical, business, and marketing resources across NVIDIA and our business partners to drive mutual success

• Build partner and customer references and case studies

• Watch for and develop emerging use cases to help cultivate new opportunities

• Leverage success to foster community marketing & business development. Communicate and implement success stories working with campaign, corporate, & partner marketing teams

• Attend industry events to represent NVIDIA and recruit and engage the ecosystem

• Bachelor’s degree or equivalent experience from a leading University, Master’s/MBA or meaningful experience.

• 8+ years or significant work experience, inclusive of CSP/Cloud marketplace

• Quantify the market opportunity, craft a strategy, define initiatives and outcomes, and orchestrate resources to achieve those outcomes. You must have the ability to analyze and segment market opportunities and develop strategic business plans around them

• Deep knowledge of AI industry business development, and driving adoption and growth of a technology-based solutions both in the space of HPC and AI

• Excellent written, verbal and presentation communication skills are a crucial requirement. Candidates must work comfortably across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers

• Outstanding understanding of AI NVIDIA applications, datacenter servers, cloud services, and embedded.

• Large contact network in the Cloud/Service provider marketplace.

• Good knowledge of the regional AI and NCP customer ecosystem

• Machine learning, data analytics, and artificial intelligence experience preferred

• Innovative and creative flair, yet able to follow operational process discipline

What you’ll be doing:

• Review product requirements and develop test matrix.

• Build testing-related documentation, including test plans, test approach, test cases and bug reports assessing quality and associated risks.

• Manage bug lifecycle and co-work with inter-groups to work towards solutions.

• Automate manual tests and assist in the architecture, building and implementing test frameworks.

• Enhance the existing testing frameworks used in the organization by our engineers, including yourself, for areas such as UIs, REST APIs, process automation and performance validation.

• Support a reliable fast feedback loop by integrating automation testing in CI and discovery pipelines.

What we need to see:

• BS or higher degree or equivalent experience in Computer Science, Electronics or relatwed discipline with 5+ years QA experience.

• Proficient with web based UI and RESTful APIs validation via code as well as Unix/Linux and shell/python programming skills.

• Familiarity with networking protocols as well as working command of the Python programming language.

• Rich experience in test cases development and failure root cause analysis.

• Track record in identifying areas of process improvement

• Good command of Cloud management systems and Kubernetes and supporting cloud infrastructure (Grafana etc)

• Experience with building and handling CI/CD pipelines.

• Hands-on experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, or integration into QA workflows

• Fine-tuning or training models for QA-specific tasks - adapting LLMs or other models specifically for testing, documentation analysis, or requirement validation

• Good QA sense including attention to detail, problem-solving, data analysis, quality standards knowledge, time management etc.

• Excellent communicator, fluent written and verbal English.

Ways to stand out from the crowd:

• Experience building AI systems such as RAG (Retrieval-Augmented Generation) pipelines, MRC (Machine Reading Comprehension) solutions, or AI agents

• Building AI-powered test generation tools - using LLMs to automatically generate test cases, test code, edge cases, or synthetic test data

• Experience working with NVIDIA GPU hardware is a strong plus

• Scalability or performance testing knowledge is a plus

• Experience with data analysis and system monitoring across distributed systems as well as experience with Golang

• Serve as the primary technical expert between NVIDIA and our customers, understanding their technology and provide the best AI solutions/ guidance on training process in terms of tools and methodology

• Build proof-of-concepts and demonstrations that highlight the power of NVIDIA AI platforms in robotics

• Partner with developers, researchers, technology specialists, IT professionals, and executives to facilitate the integration of NVIDIA technology

• Work with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations.

• MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields.

• Deep expertise in AI/Deep Learning, with hands-on experience in training or optimizing VLMs for production

• Expertise with deep learning frameworks for training VLMs (PyTorch, Nemo), and/or experience with such model's optimization methods and tools (TensorRT and Triton Inference Server).

• Excellent verbal, written communication, and technical presentation skills in English.

• 5+ years' work or research experience with Python/ C++ / other software development

• AI passionate with a growth mindset, ability to collaborate effectively with different teams (Engineering, Product, Sales, Marketing) in a rapid evolving environment while continuously learning and sharing insights.

• Familiarity with Cosmos (e.g. Cosmos-Reason) and Isaac GR00T family of models.

• Familiarity with robotics simulation environments (Isaac Sim, Isaac Lab, MuJoco, etc.).

• Experience in large scale training / understanding of modern model, data, expert, context parallel training techniques.

• Track record in Neural Networks inference optimization for Physical AI use cases

What You'll Be Doing

• Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in EMEA AI Natives with multi-functional partners to drive adoption of NVIDIA technologies.

• Accelerate critical workloads by demonstrating ground breaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.

• Advise on the technical enablement resources—such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems for EMEA AI Natives

• Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions.

• Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.

• Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.

• Engage with partner engineering teams, technical leaders, and decision-makers to identify goals, solve technical challenges, and promote best practices for successful integrations.

• Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.

What We Need to See

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

• A minimum of 8+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in your designated ecosystem (e.g., Telco, MarTech, etc.).

• Proven experience leading, partnering, and scaling developer programs at major technology companies, EMEA AI Natives, ISVs, or within relevant verticals.

• Significant technical proficiency guiding EMEA AI Natives in high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks and libraries.

• Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives.

• Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops

• Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders (across sales, legal, product or marketing teams as needed).

Ways to Stand Out from the Crowd

• Hands-on experience building or optimizing vertical-specific solutions for Generative & Agentic AI

• Familiarity with advanced computing, AI, and/or GPU acceleration platforms

• Track record in crafting and implementing systems for real-time processing and low-latency decision-making.

• Successful history of building and scaling developer communities and delivering impactful technical enablement programs.