Teams at NVIDIA

Build and operate CI/CD, testing, release, and GPU-enabled infrastructure for NVIDIA Isaac Sim. Responsibilities include managing cloud and on-premises runners, integrating automated simulation and performance tests, optimizing build pipelines, creating reproducible environments and artifacts, monitoring infrastructure health, troubleshooting complex software and GPU issues, and strengthening release security and traceability.

Leads NVIDIA’s Performance Engineering team, overseeing benchmarking, performance characterization, data analysis, automation, and product readiness. Defines methodologies and priorities, guides investigations across hardware and software systems, analyzes regressions and bottlenecks, and translates findings into product recommendations. Develops engineers and collaborates with engineering, product, and business teams across global locations. The role spans GPUs, CPUs, operating systems, applications, AI workloads, robotics, and emerging computing platforms.

Build and lead development of NVIDIA’s open-source NeMo Core Platform for executing, evaluating, deploying, and optimizing agentic AI systems across local, Docker, Kubernetes, Slurm, on-premises, and air-gapped environments. Responsibilities include designing platform APIs, plugin architecture, job orchestration, SDKs, reliability and observability capabilities, testing, performance improvements, technical leadership, code reviews, mentoring, and cross-team problem solving.