Senior Solutions Architect Cloud Infrastructure Devops - Nvis jobs at Nvidia in United Arab Emirates

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:

• 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'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

What you’ll be doing:

• Actively promote the NVIDIA culture with partners & customers.

• Activate & enable partners through hands-on workshops and ideation.

• Expand partner’s capabilities with pre-sales support on existing and new technologies.

• Build and nurture an active community of Subject Matter Experts in the partner landscape across EMEA.

• Foster learning and development by sharing feedback, guidance and knowledge with sales and product specialists.

• Support and provide guidance to our partners. Working closely with Partner Business Managers, you’ll get pulled into many conversations with partners and customers where you’ll need to help figure out good next steps on any number of possible topics, although AI Factories to support AI, DL/ML, virtualization and how GPU enabled software bits work are the most common topics.

• Above all, be the person that partners call on when they need to get technical in crafting solutions for customers engaged in AI, DL/ML, HPC, virtualization, visualization and other areas that make use of NVIDIA technology. Backed up by the other Solutions Architects experts, the Engineering organization, and the whole of NVIDIA. Be the face and brains of NVIDIA that our partners will learn to rely on.

• Use product and integration knowledge to deliver technical sales presentations, product demonstrations, hands-on training and proof of concepts, as well as overcome objections.

What we need to see:

• 7+ years of experience and confidence in partner facing technical roles. With channel partners or with enterprise customers, an aptitude for engaging in technical conversations that solve problems is critical.

• Channel experience, with strategic advisory and partnership development.

• Excellent communication and interpersonal skills.

• Understand the full stack from AI Apps & Workflows to AI Factories. Applications, frameworks, OS, Hypervisor, server hardware, networking, storage, datacenter needs all factor into building successful solutions. Knowing how all the parts fit together is important in being able to work with partners of different skill levels and different areas of expertise. Most successful Solutions Architects have at least a BS degree in a technical field.

• Excellent presentation skills, good written and verbal English and a European 2nd Language.

• You don’t need to be a specialist in the fields of AI, DL/ML, Virtualization or Visualization to be successful, but understanding, learning, and using their tools and methods is crucially important. Wanting to be an expert in some aspect of either field is a great attribute to have.

Ways to stand out from the crowd:

• Experience with AI, DL/ML frameworks and apps, C or Python programming, shell scripting, or with hypervisors and virtualization, cloud services, and Linux are all plusses, but the key is a willingness and ability to dig into the things you don’t know to solve the problems.

• Some history of public talks, presentations and trainings, video blogs, or any other demonstration of your desire to educate, fascinate and evangelize.

• Hands-on experience with one or more NVIDIA frameworks, SDKs or platforms.

What you'll be doing:

• Providing Ethernet expertise to customers during the sales cycle to design, architect and test Ethernet networking solutions.

• Work on multi-functional teams to provide Ethernet network expertise to server infrastructure builds, accelerated computing workloads and GPU-enabled AI applications.

• Crafting and evaluating DevOps automation scripts for network operations, crafting network architectures, and developing switch configurations.

• Implementing tasks related to network implementation and validation for data centers.

What we need to see:

• 8+ years of proficiency in networking fundamentals, configuring Ethernet switches, understanding the TCP/IP stack, and data center architecture.

• Engages with clients for network requirement analysis, designs next-gen data center network architectures, and validates functionality through simulations.

• Hands-on experience with configuring and troubleshooting VXLAN-EVPN.

• Automation tooling background (Ansible, Salt, Puppet etc.).

• Proactive individual with the ability to work independently, prioritizing tasks to optimize technology and enhance customer experience.

• Provides ad-hoc knowledge transfers, develops handover materials, and offers deployment support for engagements.

• B.Sc. in Engineering or CCNP certificate (or equivalent experience)

Ways to stand out from the crowd:

• Combination of interpersonal skills and technical competence.

• Linux certifications.

• Internetwork Expert(CCIE, JNCIE, ACE-E) certification in Data Centers.

• Experience with Cumulus OS.

• Infiniband certifications.

What you'll be doing:

• Lead the hands-on analysis, optimization, and performance tuning of complex GPU-accelerated systems and AI workloads, ensuring high availability and efficiency across customer data centers.

• Serve as a senior technical authority on NVIDIA technologies, contributing to architecture reviews and guiding infrastructure decisions at scale.

• Establish and refine monitoring and optimization methodologies using analytics, telemetry, and automation to detect bottlenecks and improve infrastructure resiliency.

• Join post-deployment reviews, incident retrospectives, and sessions to craft the customer experience and provide insights into NVIDIA’s infrastructure strategy.

• Complete and lead complex technical projects from initial design through implementation and continuous improvement, ensuring alignment to SLAs and mitigation of technical risks.

• Support business growth by identifying AI infrastructure opportunities in cloud and enterprise environments and driving technical initiatives that showcase NVIDIA’s leadership in this space.

What we need to see:

• 10+ years of experience in large-scale data center service operations with a focus on infrastructure.

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

• Strong analytical, solving problems, and decision-making skills, capable of identifying root causes, driving continuous improvement, and delivering resilient technical solutions.

• Strong communication, time management, and organizational skills, with the ability to lead complex projects, guide technical teams.

• Preferred certifications in data center, server, or networking technologies, and a willingness to travel up to 25% for customer engagements and team collaboration.

• Proficiency in system-level aspects, encompassing Operating Systems, Linux kernel drivers, GPUs, NICs, and hardware architecture.

• Shown expertise in cloud orchestration software and job schedulers, including platforms like Kubernetes, Docker Swarm, and HPC-specific schedulers such as Slurm.

• Familiarity with cloud-native technologies and their integration with traditional infrastructure is essential.

Ways to stand out from the crowd:

• Deep familiarity with AI infrastructure and workflows, including training/inference pipelines, MLOps/DevOps tools, containerization (Docker, Kubernetes), and large-scale system deployments.

• Knowledge of data center infrastructure operations, including safety, security, environmental controls, and standard operating procedures.

• Good interpersonal and collaboration skills, with the ability to lead discussions, influence outcomes, and build positive relationships with both internal and external collaborators.

What you will be doing:

• Be an inspiring leader on integrating NVIDIA technology into IT infrastructures focusing on performance at scale.

• Work with business managers to thoughtfully craft the vision, actionable and effective strategies for the customer.

• Become an expert and enable developers to adopt NVIDIA Generative AI platform for their enterprise applications and services.

• Encourage industry executives and leaders by articulating the business value from the state of the art in Generative and Agentic AI for their business.

• Interact with end-users, data scientists and developers, understand their goals and needs, define and deliver high-value solutions that meet these needs.

• Identify gaps and propose/develop prototypical solutions.

• Closely partner with other Solutions Architects, engineering, product and business teams at NVIDIA to build GenAI full stack solutions for industry vertical and enterprise use cases.

What we need to see:

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

• 5+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow and Transformer-based models.

• Experience with Large Language Models (LLM) training and fine-tuning.

• Experience with DL frameworks, training multi-node, fine-tuning and deploying Generative AI and foundation models.

• Passion for accelerated computing.

• Action oriented with strong analytical skills.

• Strong organization and time management skills to work in a fast-pace multi-task environment.

• Self-motivated, independent, ability to work independently with minimal day-to-day direction.

• Significant experience in High-Performance Computing or Deep Learning.

• Strong collaboration and social skills, ability to communicate effectively with customers, and across organizations (Engineering, Sales, Support); fluent in English both oral and written.

Ways to stand out from the crowd:

• Experience with data curation pipeline at scale, data formats, filtering, cleaning.

• Experience applying AI in specific verticals, like FSI, Healthcare or Energy.

• Skilled at profiling, analyzing and optimizing code.

• Understanding of HPC system architecture inc. distributed computing, networking, parallel filesystems, cluster operations, workload schedulers, etc.

• Experience working with NVIDIA technologies inc. NVAIE, NeMo, CUDA, NIM, etc.