Description
We are looking for a Senior Customer Success/Partnership Solutions Architect to join our NVIDIA Infrastructure Specialist Team. 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. As a Senior Solutions Architect, you will 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.
You will serve as a senior technical authority on NVIDIA technologies, contributing to architecture reviews and guiding infrastructure decisions at scale. You will establish and refine monitoring and optimization methodologies using analytics, telemetry, and automation to detect bottlenecks and improve infrastructure resiliency.
You will join post-deployment reviews, incident retrospectives, and sessions to craft the customer experience and provide insights into NVIDIA's infrastructure strategy. You will complete and lead complex technical projects from initial design through implementation and continuous improvement, ensuring alignment to SLAs and mitigation of technical risks.
You will 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.
Key responsibilities include:
- Leading the hands-on analysis, optimization, and performance tuning of complex GPU-accelerated systems and AI workloads
- Serving as a senior technical authority on NVIDIA technologies
- Establishing and refining monitoring and optimization methodologies
- Joining post-deployment reviews, incident retrospectives, and sessions
- Completing and leading complex technical projects
Requirements include:
- 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
- Strong communication, time management, and organizational skills
- Preferred certifications in data center, server, or networking technologies
- 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
Preferred qualifications include:
- 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
NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.