Jobs at Nvidia in United Arab Emirates

What you'll be doing

• Act as a trusted technical advisor, leading engagements across high-impact industries such as Financial Services, Healthcare and Life Sciences, and beyond.

• Understand customer critical workloads, and advise on technical enablement strategies on NVIDIA stack integration

• Guide partners and customers through the NVIDIA integration journey, fostering co-innovation and the development of next-generation solutions.

• Map, build, and expand a vibrant ecosystem of strategic partners to multiply growth opportunities, champion NVIDIA technologies, track ecosystem trends.

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

• Work closely with partner engineering teams, technical leaders, and decision-makers to unpack goals, tackle technical challenges, and endorse protocols for successful integrations.

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

What we need to see

• BS/MS in AI, Data Science or computer science-related field (or equivalent experience).

• A minimum of 8-10+ 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 AI, Generative Ai or Physical AI.

• Proven experience leading, partnering, and scaling developer programs at major technology companies, ISVs, or within relevant verticals, focusing on Generative AI, applied machine learning, or physical AI development.

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

• 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).

• Arabic and English fluency required.

Ways to stand out from the crowd:

• Deep Understanding of the ME AI ecosystem, use cases, and new technologies.

• Knowledge of the NVIDIA product stack

What you'll be doing:

• Come up with creative ways to promote NVIDIA’s leadership in Enterprise AI across national, IT/tech and trade media.

• Lead PR agencies and work with internal collaborators in EMEA and at HQ-level to drive outstanding media coverage and identify new PR opportunities.

• Collaborate closely with local marketing in building a comprehensive plan for the Middle East region.

• Support the production of press releases, messaging documents, customer stories, partner press releases, and thought leadership pieces.

• Coordinate reporting and PR processes across the EMEA region.

• Manage relationships with key reporters.

What we need to see:

• 10+ years of experience in PR and strategic marketing – either in an agency or in-house role.

• A good degree from a leading university.

• Fluent in English and Arabic.

• Strong time-management and organization skills and attention to detail, with the ability to coordinate multiple initiatives and priorities.

• Proactive, driven, and able to work with minimum supervision.

Ways to stand out from the crowd:

• Experience leading external agencies and collaborators.

• Affinity for technology, basic technical knowledge of AI.

NVIDIA is looking for Senior CloudInfrastructure/DevOps

What you'll be doing:

• Maintain large scale HPC/AI clusters with monitoring, logging and alerting Manage Linux job/workload schedulers and orchestration tools.

• Develop and maintain continuous integration and delivery pipelines

• Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources.

• Deploy monitoring solutions for the servers, network and storage.

• Perform troubleshooting bottom up from bare metal, operating system, software stack and application level.

• Being a technical resource, develop, re-define and document standard methodologies to share with internal teams Support Research & Development activities and engage in POCs/POVs for future improvements.

What we need to see:

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

• At least 8 years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture.

• Knowledge of HPC and AI solution technologies, including CPUs, GPUs, high-speed interconnects, and supporting software.

• Extensive knowledge and hands-on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments.

• Experience in managing and installing HPC clusters, including deployment, optimization, and troubleshooting.

• Excellent knowledge of Linux systems (Redhat/CentOS and Ubuntu), including internals, ACLs, OS-level security protections, and common protocols like TCP, DHCP, DNS, etc.

• Experience with multiple storage solutions, including Lustre, GPFS, ZFS, and XFS. Familiarity with newer and emerging storage technologies is a plus.

• Proficiency in Python programming and bash scripting.

• Comfortable with automation and configuration management tools, including Jenkins, Ansible, Puppet/Chef, etc.

Ways to stand out from the crowd:

• Knowledge of CI/CD pipelines for software deployment and automation.

• Knowledge of Kubernetes, container related microservice technologies.

• Experience with GPU-focused hardware/software (DGX, CUDA.)

• Background with RDMA (InfiniBand or RoCE) fabrics.

What you'll be doing

• Build and grow NVIDIA’s startup ecosystem by driving the Inception Startup Program across Middle East, Türkiye, and Africa.

• Identify and recruit top startups, ISVs, VCs andaccelerators—especiallyin Deep Tech and AI.

• Lead and participate in ecosystem activities to onboard and activate startups.

• Track ecosystem trends and maintain deep market insights.

• Evangelize NVIDIA’s hardware and software technologies to technical leaders and accelerate adoption.

• Support the development of emerging AI use cases (e.g., Agentic AI, Physical AI).

• Assist startups and ISVs with Go-to-Market to ensure success.

• Collaborate closely with cross-functional NVIDIA teams, both technical and non-technical.

What we need to see

• 8+ years of proven experience in startups, partner ecosystems, or VC management.

• BS/MS in Engineering, Technology, or Business.

• Ability to engage with ecosystem partners and co-drive startup recruitment, activation and marketing initiatives.

• Passion for ecosystem development and the ability to thrive in fast-paced, dynamic environments.

• Excellent communication and interpersonal skills; comfortable working with startups, partners, and internal/external teams.

• Arabic and English fluency required.

Ways to stand out from the crowd

• Knowledge of NVIDIA software and hardware platforms is a strong plus

What you'll be doing:

• Primary responsibilities will include building AI/HPC infrastructure for new and existing customers.

• Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting.

• Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement.

• Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.

• Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

What we need to see:

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

• At least 8 years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture

• Proficiency in configuring, testing, validating, and resolving issues in LAN and InfiniBand networks, especially in medium to large-scale HPC/AI environments.

• Advanced knowledge of EVPN, BGP, OSPF, VXLAN protocols.

• Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS.

• Extensive experience delivering automated network provisioning solutions using tools like Ansible, Salt, and Python.

• Ability to develop CI/CD pipelines for network operations.

• Strong focus on customer needs and satisfaction.

• Self-motivated with leadership skills to work collaboratively with customers and internal teams.

• Strong written, verbal, and listening skills in English are essential.

Ways to stand out from the crowd:

• Familiarity with cloud networks (AWS, GCP, Azure) is a plus.

• Linux or Networking Certifications.

• Experience with High-performance computing architectures. Understanding of how job schedulers(Slurm, PBS) work.

• luster management technologies knowledge (bonus credit for BCM (Base Command Manager).)

• Experience with GPU (Graphics Processing Unit) focused hardware/software.

What you will be doing:

• Help our customers with the installation and onboarding of the Run:ai software

• On a daily basis to maximize to help increase the value of the Run.AI software. These includes:

• Helping data scientists and ML engineers embed best practices in the world of machine learning operations.

• Configuring Run:ai to match customer’s use case

• Integrate run:ai into customer's existing ML ops environment including scripting

• Diagnosing and solving customer issues in sophisticated cloud native environments

• Use existing profiling and analysis tools to find bottlenecks and low utilization of deep learning models.

• Collaborates with internal stakeholders (e.g. Pre-Sales Solution Engineers, Account Managers, Account SAs, Product) in the post-sale stage by understanding business requirements and providing industry and technical input.

• Develop new tools and scripts to help simplify integration between Run:ai to other Data Science tools.

What we need to see:

• 3+ years of experience working in a customer facing role at a B2B SaaS/On Prem Software Company

• B.Sc in Computer Science or equivalent experience

• Experience presenting to technical audiences and creating technical content for developers

• Experience in Linux / Unix Operating Systems

• Hands on experience with Kubernetes

• Experience in containerization technologies like Docker, containers

• Proven experience with software development

Ways to stand out from the crowd:

What you'll be doing:

• Discover new business opportunities for NVIDIA, focusing on Networking products and integrating GPU and networking into a data-center solution.

• Architect end-to-end datacenter for AI &Large-Language-Models

• Technical account management for Nvidia Networking and E2E datacenter products key accounts

• Conducting regular customer meetings for product updates and introductions to new technology solutions and delivering product roadmap presentations to customers and technology partners

• Responding to RFP/RFI proposals for AI factories, HPC clusters, Cloud, Enterprise and more, covering datacenter technologies designs

• Building and delivering custom-tailored product demonstrations and POCs for solutions that address critical business needs for our customers

• Technical project management of complex networking and datacenter technologies deployments and design-in opportunities

• Analyzing and troubleshooting performance or functionality issues with new technology at the customer site and preparing and delivering technical training presentations

• Provide constructive feedback to engineering regarding product requirements, evolution, including submitting Requests for Enhancements supported with business evidence

What we need to see:

• This role is for an individual with the motivation and skills to drive the technical pre-sales process. The ideal candidate has 5+ years of Solution Architect (or similar Sales Engineering roles) experience

• A Bachelor’s degree or equivalent experience in computer science, electrical engineering, computer engineering

• Datacenter solutions, cloud technologies or networking knowledge.Deep understanding ofK8s and Linux Virtualization technologies (KVM)technologies.

• Networking experience, including network topologies considerations, solid knowledge of L2/L3 Ethernet

• Understanding of server system-level issues, including Operating Systems, Linux kernel drivers, PCIe devices, NICs, and hardware architecture

• Technical presentation skills and confidence in developing Proofs-of-Concept

• Must have strong sense of achievement and customer focused attitude

• Effective time management and capable of balancing multiple demands with competing deadlines

• Ability to handle and resolve critical customer issues/problems resulting in a high level of customer satisfaction

• Travel required as needed, mainly in UAE

Ways to stand out from the crowd:

• Low latency / high BW interconnect such as InfiniBand

• Practical experience with K8s and Linux Virtualization technologies (KVM)

• Experience with GPU accelerated systems administration and SW and distributed/parallel computing

• Good understanding of Datacenternetworking, infrastructure, power, and cooling solutions

• Practical DevOps experience