Senior Solution Architect, CBU TPM for NCP

Job description

NVIDIA is looking for a Senior Solutions Architecture and drive cross-functional execution for complex customer engagements. This role operates at the intersection of solutions architects, engineering, operations, and project teams to help ensure successful stability and resilicency of NVIDIA-powered infrastructure and software solutions. The ideal candidate combines strong program management discipline with technical depth, customer focus, and the ability to navigate ambiguity across fast-moving, multi-team initiatives. What you’ll be doing: Drive end-to-end program management for Solutions Architecture initiatives, including technical planning, milestone tracking, dependency management, risk mitigation, and stakeholder alignment. Partner closely with solutions architects, engineering, operations, project managers, and customer-facing teams to resolve technology issues and improve the stability and resiliency of deployed AI clusters. Build and maintain integrated schedules, status reporting, risk registers, and action tracking to ensure clear visibility and predictable execution across complex taskforce support. Help manage cross-functional issues, technical dependencies, and escalation paths, driving timely decisions and mitigation plans when priorities shift or blockers emerge. Improve operating rhythms, tools, and reusable processes that help the Solutions Architecture organization scale execution quality across multiple accounts and programs. What we need to see: Bachelor’s degree in Engineering, Computer Science, Information Systems, or a related field, or equivalent experience. 3+ years of experience in technical program management, solutions architecture, systems engineering, or a related cross-functional role. Experience working with engineering, field, operations, and customer-facing teams in support of enterprise infrastructure, AI, HPC, cloud, or DC programs. Strong written and verbal English communication skills, with the ability to communicate effectively with technical teams, business teams, and leadership. Hands-on ability to troubleshoot and help resolve customer technical issues in collaboration with cross-functional teams. Ways to stand out from the crowd: Experience supporting AI infrastructure, accelerated computing, cluster deployment, data center, networking, or cloud solution programs. Background working directly with solutions architects, enterprise customers, or post-sales technical delivery teams. Advanced degree in a relevant technical discipline. Solid technical knowledge of GPU systems and cluster architecture, or networking technologies (Infiniband network or Ethernet network) GPU system RD or Kubernetes software RD experience