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The Senior System Software Architect will design, validate, and create enterprise AI factory architectures, collaborating with various teams to optimize deployment strategies and systems performance across compute, storage, and networking infrastructures.

The Senior Product Manager is responsible for driving the roadmap and delivery of NVIDIA Cloud Functions, engaging with design partners, and collaborating with the open-source community.

Verify GPU micro-architecture using formal verification tools: define scope, write and implement formal testplans (assumptions, assertions, covers), develop abstractions to obtain proofs, drive tool performance, debug RTL, create scripts/flows, and communicate coverage to partners.

Design, deploy, and maintain scalable financial software services ensuring transactional integrity and regulatory compliance, especially handling high-volume ingestion and reporting.

Lead and deliver compiler software programs across multi-functional, global teams. Drive projects using Agile and Waterfall, define and improve processes, escalate risks, report status to executives, and resolve technical and resource conflicts to meet release goals.

Lead cross-disciplinary software architecture for next-generation CPUs and SoCs, collaborating with hardware, software, ASIC, verification, and platform teams. Influence hardware decisions via deep system software, OS/driver, and performance expertise, advise partners and senior management, and drive optimized solutions for AI and HPC workloads.

Develop and invent parallel, graph-based RTL analysis and optimization methods. Analyze RTL impacts on latency, power, DFT, clocking, and power delivery. Explore ML (LLMs, GNNs, GANs, RL) and high-performance algorithms for logic synthesis, clustering, and implementation. Drive end-to-end tool development and collaborate with design teams to deploy optimizations.

Design, build, deploy, and run reliable large-scale infrastructure services. Define SLOs and observability, automate toil, manage software lifecycle, participate in on-call incident response, and consult with peer teams on systems design best practices.

The HPC Cluster Engineer manages and optimizes GPU Compute Clusters for EDA and HPC workloads, ensuring performance and reliability through collaboration and automation.

Lead as the main technical authority for NVIDIA's Federal partnership, developing AI solutions and optimizing full-stack architecture for government agencies.