• Lead technical delivery for strategic Agentic AI partner engagements • Design and build enterprise-grade agentic systems • Lead deep architecture reviews with partner engineering teams • Build hands-on PoCs, benchmarks, reference architectures • Guide partners on model customization and post-training workflows

• Assist independent software vendors, ecosystem partners, and lighthouse customers in assessing and adopting technologies within DSX Sim, and Omniverse libraries. • Architect and demonstrate simulation workflows that help customers build, validate, optimize, and operationalize AI factory digital twins. • Collaborate with partners to build and validate simulation-ready asset pipelines using OpenUSD, SimReady specifications, engineering data, multi-physics simulation, and operational inputs. • Drive incorporation of Omniverse libraries (ovRTX, ovPhysx, ovStorage, usd-agents, etc) into partner applications, services, and enterprise workflows. • Develop reusable reference architectures, demonstrations, sample workflows, benchmarks, and proof-of-concept evaluations that address customer challenges. • Translate technical and business requirements into clear solution plans while coordinating with sales, product engineering, developer relations, and partner teams to resolve blockers and advance adoption. • Gather field insights, advocate for partner needs, and contribute technical mentorship that improves product direction, enablement resources, and team execution.

• Partner with ISVs on discovery, architecture reviews, technical deep dives, POCs, benchmarks, demos, and production deployment guidance • Advise on the design, build-out, and optimization of accelerated AI infrastructure, including large-scale clusters • Support infrastructure design across compute, networking, storage, containers, observability, security, power, and data center operations • Drive adoption of systems monitoring, telemetry, and management tools to improve cluster utilization, reliability, performance and workload insight • Build repeatable reference architectures, deployment guides, sizing guidance, benchmark reports, technical playbooks, demos and whitepapers • Travel up to 20% customer meetings may be required

• Document and demonstrate advancements in accelerated computing & AI applications through targeted trainings, sharing sessions, whitepapers, blogs, and wiki articles. • Realize our vision by introducing NVIDIA technology in telecommunication applications for management and operation, and for cloud and edge computing (NFV). • Develop a keen understanding of customer’s goals and needs, deliver high-value solutions, and support technical trials, proof-of-concepts and customer adoption. • Lead technical project aspects of complex deployments, including design-in opportunities and responding to RFP/RFI proposals for AI software integration, or edge / cloud / datacenter deployments.