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The role involves designing and maintaining AI/HPC infrastructure, focusing on large-scale networking projects, performance monitoring, troubleshooting, and customer interaction.

Lead and scale a network of technical partners and system integrators to deploy NVIDIA AI Factory solutions. Recruit and onboard SIs, build joint business plans, drive co-selling with enterprise account teams, enable partner technical proficiency and certification, manage partner-sourced pipeline, forecasting, and ecosystem health reporting to leadership.

Architect and build large-scale GPU cloud platforms (IaaS/PaaS/SaaS) for generative AI, design GPU cluster orchestration with Kubernetes and Slurm, implement resource scheduling, observability, and networking, advise customers on deploying and scaling LLM/ML workloads, and collaborate with engineering and executive teams to drive adoption and optimize performance.

As a Senior Solution Architect for NVIDIA, you'll develop CI/CD pipelines, automate large-scale infrastructure, and implement monitoring solutions while troubleshooting and improving standard methodologies.

The Senior Solution Architect will develop and automate deployment pipelines, manage large-scale AI/HPC infrastructure, troubleshoot systems, and engage with customers to implement networking projects.

Operate and improve the reliability, availability, and performance of large-scale GeForce NOW services. Participate in incident triage and on-call rotations, build automation and tooling, enhance observability (metrics/logs/traces), drive SLO/SRI practices, run postmortems, and design/operate Kubernetes-based services across cloud and datacenter environments.

Architect, build, and maintain enterprise AWS infrastructure using Terraform; develop and refine Jenkins CI/CD pipelines for zero-downtime releases; operate and optimize EKS/ECS, Lambda, and other services; implement proactive AI-driven observability; define SLOs/SLAs, lead incident response, and improve platform resilience and cost-efficiency.

Design, implement, and operate scalable distributed software and network/system automation for NVIDIA's multi-tenant cloud infrastructure. Own code lifecycle, build maintainable APIs, ensure secure communications and data persistence, contribute to open-source, and present roadmaps to stakeholders.