Senior Solutions Architect, Customer Success and Partnership

NVIDIA is building many of the largest and fastest AI/HPC systems in the world and is looking for a Senior Customer Success/Partnership Solutions Architect to join its NVIDIA Infrastructure Specialist Team. The role involves working with academic and commercial groups globally who use NVIDIA products to redefine deep learning and data analytics and power data centers.

• 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, problem-solving, 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 and guide technical teams.
• Preferred certifications in data center, server, or networking technologies.
• Willingness to travel up to 25% for customer engagements and team collaboration.
• Proficiency in system-level aspects including Operating Systems, Linux kernel drivers, GPUs, NICs, and hardware architecture.
• Expertise in cloud orchestration software and job schedulers such as Kubernetes, Docker Swarm, and HPC-specific schedulers like Slurm.
• Familiarity with cloud-native technologies and their integration with traditional infrastructure.

Nice to have:

• Deep familiarity with AI infrastructure and workflows, including training/inference pipelines, MLOps/DevOps tools, containerization, 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 internal and external collaborators.

• 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.