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Build and maintain network automation and orchestration software for NVIDIA GPU Cloud and SuperPod deployments. Design/configure centralized configuration management, integrate cloud provider APIs, implement data pipelines and streaming telemetry, and automate lifecycle operations from procurement to deployment. Collaborate with infrastructure experts to deliver zero-touch, production-grade network provisioning, monitoring, and management tools.

Design and define embedded switching software architectures for next-generation Ethernet/Infiniband/NVLink platforms. Lead R&D, validation, and cross-functional teams; evaluate protocols, drivers, and partners; drive PoCs, standards engagement, customer technical leadership, and integration of Linux kernel networking for high-performance AI/ML workloads.

Lead development of local AI agent frameworks and runtimes on Windows and GeForce RTX GPUs. Optimize agent inference, sandboxing, and privacy/security policies, collaborate with AI research and driver teams, mentor engineers, and deliver production-ready, local autonomous agent systems.

Lead and implement end-to-end, AI-enhanced employee experiences across web and mobile. Architect scalable services and UIs, embed LLM/vector-search and recommendation systems, integrate third-party HRIS and collaboration platforms, champion modern front-end patterns and cloud-native back-end practices, ensure observability and reliability, and mentor engineers while upholding security, privacy, and accessibility standards.

Design, develop, and optimize system software and firmware for SoC-based O-RAN infrastructure. Implement power-management policies (DVFS, clock/power gating, thermal control), analyze RU/DU workloads, build performance and power models, create measurement and test tooling, validate on simulation/emulation and silicon, and influence SoC and platform architectures for 5G/6G deployments.

Leads end-to-end supply chain transformation initiatives across planning, logistics, manufacturing, repair, returns, and customer operations. Redesigns processes and operating models, translates business needs into requirements, and partners with IT, engineering, data, and AI teams to deliver scalable digital capabilities. Drives AI, analytics, automation, change management, adoption, and measurable operational improvements while influencing executives and cross-functional stakeholders.

Sell NVIDIA's networking portfolio to enterprise accounts, driving quota attainment by identifying, qualifying, and closing opportunities. Lead customer conversations across business and technical stakeholders, collaborate with solution architects and partners, and support solution development for AI and data center initiatives. Maintain pipeline, forecasting, and opportunity tracking in Salesforce while coordinating complex sales motions and building strategic customer relationships across Physical AI and Financial Services industries.

Perform RTL-to-gate synthesis and QoR convergence for complex digital blocks, optimize synthesis strategies and constraints, analyze and resolve QoR regressions, support physical implementation from floorplanning through timing closure, and automate setup, execution, reporting, and issue triage across teams.

Lead design, build, and operate AIOps and observability platforms (metrics, logs, traces, alerts, dashboards). Define roadmap and standards, collaborate with teams, mentor engineers, and implement ML/LLM-based anomaly detection, forecasting, root-cause analysis, and agentic debugging across large-scale cloud, on-prem, and bare-metal environments.

Own technical integration and adoption of NVIDIA libraries, models, and frameworks across Microsoft; coordinate product and engineering teams, drive developer advocacy, resolve technical challenges, influence partner roadmaps, and deliver joint GTM solutions and early wins.