Teams at NVIDIA

Develop compiler verification software and infrastructure for deep learning compilers. Analyze graph transformations, IR lowering, fusion, mixed-precision optimizations, and GPU execution for semantic and numerical correctness. Build test-generation systems across model topologies, precision modes, and hardware targets, while improving functional quality and performance measurement. Collaborate with compiler and architecture teams to investigate correctness issues and edge-case failures.

Build and deploy AI/ML tools for GeForce NOW SRE operations, transforming production data, metrics, logs, and signals into incident root-cause analysis and operational forecasts. Lead LLM- and agent-based systems, develop large-scale data pipelines, optimize LLM workflows, and recommend sustainable AI platforms and architectures. The role also involves automation, Kubernetes, AWS cloud environments, monitoring, visualization, and production SRE practices.

Own NVIDIA’s marketing engagement across open source foundations and developer communities, anchored by PyTorch. Drive technical content, conference presence, foundation committee participation, stakeholder alignment, budgets, and community relationships. Use AI agents, automation, and dashboards to improve monitoring, planning, reporting, and program execution. The role requires strong developer marketing judgment, technical fluency in AI or scientific computing, and experience managing multiple concurrent ecosystem programs.