דרושים ב-Nvidia ב-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+

What you’ll be doing:

• Create automation tests based on manual scenarios and be involved in enhancing framework architecture and implementation for areas such as UI, REST API, process automation, and performance validation;

• Assist in building reliable fast feedback loops by integrating automation testing in CI and discovery pipelines;

• Help build testing-related documentation, including test plans, test cases, and bug reports;

• Manage bug lifecycle and collaborate with multi-functional teams to work towards solutions.

What we need to see:

• Currently pursuing a BS or higher degree in CS/EE/CE or related field

• Programming skills in Python or similar languages;

• Understanding of Unix/Linux and shell scripting basics;

• Hands-on experience using AI development tools;

• Strong attention to detail, problem-solving skills, and quality-focused attitude;

• Good communication skills in written and verbal English;

• Passion to learn new technologies and grow your skills.

• The period of tenure will be for one year based in our Belfast office.

Ways to stand out from the crowd:

• Academic or personal projects involving AI/ML, especially with LLMs or prompt engineering;

• Experience with test automation frameworks or building testing tools;

• Familiarity with NVIDIA GPU hardware;

• Coursework or projects in distributed systems, performance testing, or data analysis;

• Experience with version control systems (Git) and collaborative development workflows.

Applications will be accepted until December 6, 2025.

Please note: We will be reviewing applications on a rolling basis as they are submitted. We encourage you to apply early.

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

• Lead and develop NVIDIA developer strategy with multi-functional team: Product, Engineering, Applied Research, Marketing, and Sales.

• Develop a detailed understanding and prioritization list of services and applications that could benefit from GPU acceleration in the AI / Gen AI space. Lead strategic relationship with key influential researchers, leading product teams, leading developers focused new initiatives.

• Establish strategic relationships with Partner/CSP engineering leads & developers, dedicate yourself to making them successful. Turn features requests into actionable engineering and product steering.

• Understand application workflow and architectural requirements to enable GPU based workloads acceleration. Integrate NVIDIA GPU acceleration into CSP Applications. Be alert to the competitive landscape and communicate internally.

• Create strategic partnership and build community by attending research conferences and hosting technical meetups. Host developers summits; AI, Deep Learning, HPC, Professional Visualization. Engage industry events to speak, collect requirements, establish relationships, showcase NVIDIA GPU accelerated solutions.

What We Need To See

• BS/MS/PhD in Computer Science or Engineering or equivalent experience.

• 15+ years experience with Cloud, AI, Scalable Applications, Data Analytics, and GPU technology.

• Good technical understanding of Generative AI, high-performance computing, database analytics.

• Solid understanding of machine learning, deep learning, artificial intelligence platforms and ecosystems.

• Comfortably work across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers.

Ways To Stand Out From The Crowd

• Demonstrated excellent interpersonal skills (both verbal and written) and evidence of your ability to represent NVIDIA externally.

• Excellent social, planning and prioritization skills.

• You are a self-starter with approach for growth and passion for continuous learning.

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