Senior Solutions Architect

NVIDIA; Dubai; On-site; USD 120,000 - 180,000; Full time

Job summary

NVIDIA seeks a Senior Customer Success/Partnership Solutions Architect for its Infrastructure Specialist Team in Dubai. This role involves optimizing GPU-accelerated systems, leading technical projects, and driving AI infrastructure initiatives. Candidates should have over 10 years of experience and advanced degrees in relevant fields, making it a pivotal position in a leading company innovating in AI and HPC.

Benefits

Highly competitive salaries

Extensive benefits package

Diverse and inclusive work environment

Qualifications

• 10+ years experience in large-scale data center service operations.
• Expertise in cloud orchestration software (Kubernetes, Docker).
• Preferred certifications in data center technologies.

Responsibilities

• Lead analysis, optimization, and performance tuning of GPU-accelerated systems.
• Guide infrastructure decisions at scale.
• Identify AI infrastructure opportunities.

Skills

Problem Solving

Communication

Collaboration

Education

BS/MS/PhD in Computer Science or related fields

Tools

Kubernetes

Docker

Job description

NVIDIA is looking for Senior Customer Success/Partnership Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial groups around the world are using NVIDIA products to redefine deep learning and data analytics, and to power data centers. We are building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent communication skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer!What You'll Be DoingLead 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 See10+ 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 CrowdDeep 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.NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.JR1998393

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