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Leads technical program management for hardware products across ideation, development, qualification, manufacturing, launch, and sustaining lifecycles. Drives schedules, milestones, priorities, risk escalation, cross-functional issue resolution, and executive product-status communication. Requires hardware product development and validation experience, strong program management skills, and the ability to influence matrixed teams. Products may include data center systems, Jetson devices, robotics platforms, automotive products, consumer electronics, and GPUs.

Architect enterprise AI platform solutions integrating NVIDIA CPUs, GPUs, networking, and storage with server OEM, cloud, and storage partners. Develop partner proof-of-concepts, conduct virtual product reviews, establish benchmarking standards, resolve integration issues, and collaborate with product managers and engineering leaders to expand NVIDIA Enterprise Platforms.

Build and optimize FPGA prototypes and hardware emulation environments for next-generation GPUs, SoCs, NICs, and switches. Responsibilities include RTL partitioning, synthesis, place-and-route, emulator compilation, platform bring-up, performance analysis, debug, validation infrastructure, and pre-silicon software enablement. The role develops C/C++ testbenches, transactors, DPI/PLI/SystemC interfaces, and scalable validation systems while collaborating with architecture, design, verification, validation, and software teams.

Design, develop, test, and optimize system software for next-generation ARM-based SoCs across pre- and post-silicon phases. Analyze architectural bottlenecks, workload performance, and performance-per-watt tradeoffs; develop hardware/software policies and optimization strategies. Lead performance analysis, competitive benchmarking, architecture documentation, and adoption of improvements across NVIDIA software products and open-source SDKs.

Lead change impact analysis for hardware engineering changes (ECO/ECR), assess effects on functionality, manufacturability, thermal and signal integrity, define mitigations and alternate components, support DFT and production test readiness, maintain traceability, and coordinate cross-functional teams from R&D through mass production.

Design, architect, develop and debug native and para-virtualized Linux/QNX device drivers and Android HALs for NVIDIA DRIVE OS. Troubleshoot system-level issues, lead software architecture discussions, gather requirements, coordinate cross-functional teams, and participate in feasibility, safety evaluations, and product lifecycle activities to integrate DRIVE solutions into automotive platforms.

Design, build, and deliver scalable SAP IBP planning solutions (response & supply, demand). Support and enhance planning processes, prototypes, integrations, dashboards, and end-to-end material, supply, replenishment, deployment, and service-parts planning to improve profitability and operational performance.

Design, implement, and optimize GPU-accelerated deep learning kernels, kernel libraries, and inference runtime components. Build production-quality software (e.g., cuDNN, FlashInfer) and JIT/codegen systems, profile and tune performance for LLM inference, and collaborate across compilers, GPU architecture, and open-source ecosystems to ship scalable AI inference solutions.

Lead risk-based internal audit coverage for Order-to-Cash, Legal & Regulatory Compliance, and Human Resources. Design and execute audits on revenue controls, trade compliance, anti-bribery, data privacy, antitrust, payroll/compensation, and HR controls. Provide independent assurance, actionable insights to executives and the Audit Committee, and maintain a dynamic risk-based audit plan aligned with ERM and SOX.

Lead GeForce consumer sales through AIC/OEM partners and distributors. Develop channel strategies, manage forecasts, promotions, inventory and distributor performance, drive demand generation, events, partnerships, and advocacy to grow branded product sales and market share.