Senior Solutions Architect, Customer Success
NVIDIA · Saudi Arabia
- Hybrid
- Full-time
- $160,000 / year
- Saudi Arabia
Job highlights
- Architect AI/HPC infrastructure solutions for customers.
- Advise on large-scale data center and networking projects.
- Optimize GPU-accelerated systems and AI workloads.
- Drive customer adoption through technical consultation.
- Lead complex technical projects from start to finish.
About the role
Senior Solutions Architect, Customer Success at NVIDIA
NVIDIA is seeking a Senior Solutions Architect, Customer Success to join its NVIDIA Infrastructure Specialist Team. Organizations worldwide utilize NVIDIA products for deep learning, data analytics, and next-generation data centers. Join a team that builds and advises on some of the largest AI/HPC systems globally!
We are looking for an individual with deep technical expertise and a consultative, collaborative approach. This role involves direct engagement with customers, partners, and internal teams to assess infrastructure needs, architect scalable solutions, and guide the implementation of large-scale networking and AI infrastructure projects. The responsibilities span networking, system design, and automation, serving as a trusted strategic advisor and the technical representative of NVIDIA to key accounts.
What You’ll Be Doing
- Act as a senior technical authority and trusted consultant on NVIDIA technologies, contributing to architecture reviews, guiding infrastructure decisions, and providing strategic recommendations aligned with customer business objectives.
- Establish and refine monitoring and optimization methodologies using analytics, telemetry, and automation to proactively detect bottlenecks, improve infrastructure resiliency, and drive continuous operational maturity.
- Lead and advise on the analysis, optimization, and performance tuning of complex GPU-accelerated systems and AI workloads, ensuring high availability and efficiency across customer data centers.
- Facilitate post-deployment reviews, incident retrospectives, and strategy sessions to shape the customer experience and deliver actionable insights into NVIDIA’s infrastructure roadmap.
- Own and lead complex technical projects end-to-end, from discovery and solution design through implementation, knowledge transfer, and continuous improvement, ensuring alignment to SLAs and proactive risk mitigation.
- Support business growth by identifying AI infrastructure opportunities in cloud and enterprise environments, crafting compelling technical proposals, and driving initiatives that showcase NVIDIA’s leadership.
What We Need To See
- Education & Experience: BS/MS/PhD or equivalent experience in Computer Science, Engineering, Physics, Mathematics, or related fields, with 10+ years of professional experience in large-scale data center service operations focusing on infrastructure.
- NVIDIA GPU Expertise: Demonstrated hands-on experience deploying, configuring, and optimizing NVIDIA GPU-accelerated infrastructure, including driver and firmware management, CUDA toolkit integration, and GPU workload profiling.
- Customer Engagement: Track record of building long-term customer relationships and driving adoption through consultative engagement.
- Analytical & Problem-Solving Skills: Strong analytical and decision-making capabilities, with a demonstrable ability to identify root causes, drive continuous improvement, and deliver resilient technical solutions.
- System & Infrastructure Proficiency: Expertise in end-to-end data center architecture, including operating systems, Linux kernel drivers, GPU and NIC hardware, high-speed networking (InfiniBand, Ethernet, RDMA), and storage systems (Lustre, GPFS, NFS).
- Leadership & Communication: Excellent communication, time management, and organizational skills, with the ability to lead complex multi-functional projects, guide technical teams, and present to executive partners.
- Travel: Willingness to travel up to 25% for customer engagements.
Ways To Stand Out From The Crowd
- Experience with Kubernetes for container orchestration and GPU-accelerated workloads.
- Familiarity with observability stacks (Grafana, Prometheus, Loki).
- Experience with multi-tenant GPU cluster management and workload scheduling.
- Experience with NVIDIA Base Command Manager (BCM).
- Background with RDMA-based fabrics (InfiniBand or RoCE) and knowledge of CI/CD pipelines, Infrastructure-as-Code, and GitOps workflows.
Key skills/competency
- Solutions Architecture
- Customer Success
- NVIDIA GPU Expertise
- Data Center Operations
- AI/HPC Systems
- High-Speed Networking
- System Design
- Automation
- Cloud Infrastructure
- Technical Consulting
Skills & topics
- Senior Solutions Architect
- Customer Success
- NVIDIA
- GPU
- AI
- HPC
- Data Center
- Infrastructure
- Networking
- Cloud Computing
- System Design
- Automation
- Technical Consulting
- Architecture Review
- Performance Tuning
- Kubernetes
- Observability
- InfiniBand
- Ethernet
- RDMA
- Terraform
- Ansible
How to get hired
- Tailor your resume: Highlight your 10+ years of data center experience, NVIDIA GPU expertise, and customer engagement successes.
- Showcase technical depth: Emphasize your proficiency in system architecture, networking, AI/HPC, and automation tools.
- Quantify achievements: Use metrics to demonstrate your impact on infrastructure optimization and customer success.
- Prepare for technical interviews: Be ready to discuss complex system designs and problem-solving scenarios related to AI infrastructure.
- Demonstrate leadership: Provide examples of leading cross-functional projects and guiding technical teams effectively.
Technical preparation
Master NVIDIA GPU architecture and optimization.,Deepen understanding of data center networking protocols.,Practice designing scalable AI/HPC system architectures.,Familiarize with cloud-native and automation tools.
Behavioral questions
Describe a complex customer infrastructure challenge.,How do you build trusted advisor relationships?,Share an experience leading a technical project.,How do you drive continuous infrastructure improvement?
Frequently asked questions
- What are the key technical skills required for the Senior Solutions Architect, Customer Success role at NVIDIA?
- The Senior Solutions Architect, Customer Success role at NVIDIA requires deep expertise in NVIDIA GPU infrastructure, end-to-end data center architecture, high-speed networking (InfiniBand, Ethernet, RDMA), storage systems, and automation. Experience with Kubernetes, observability stacks, and NVIDIA Base Command Manager is also highly valued.
- What is the expected level of experience for this Senior Solutions Architect position?
- NVIDIA is looking for candidates with a BS/MS/PhD or equivalent experience in a relevant technical field, coupled with at least 10 years of professional experience in large-scale data center service operations, specifically focusing on infrastructure.
- How does NVIDIA approach customer success in this Senior Solutions Architect role?
- Customer success in this role is driven by a consultative approach. The Senior Solutions Architect acts as a trusted advisor, building long-term relationships, guiding infrastructure decisions, and ensuring solutions are aligned with customer business objectives and operational maturity.
- What are the opportunities for growth within NVIDIA for a Senior Solutions Architect?
- This role offers significant opportunities to work on some of the largest AI/HPC systems globally, contribute to NVIDIA's leadership in the AI infrastructure space, and grow expertise through complex technical projects and direct customer engagement.
- Is travel required for the Senior Solutions Architect, Customer Success position?
- Yes, travel is required for this role, with an estimated up to 25% of the time dedicated to customer engagements.
- What kind of infrastructure projects will a Senior Solutions Architect work on at NVIDIA?
- A Senior Solutions Architect will work on large-scale networking and AI infrastructure projects, focusing on GPU-accelerated systems, data center design, optimization, and implementation for academic and commercial organizations.
- How important is NVIDIA GPU expertise for this role?
- NVIDIA GPU expertise is critical. Demonstrated hands-on experience in deploying, configuring, and optimizing NVIDIA GPU-accelerated infrastructure, including driver management and CUDA toolkit integration, is a key requirement.