Teams at NVIDIA

Design and develop C/C++ software for NVIDIA NIC and DPU platforms. Build monitoring, debugging, performance-analysis tools, libraries, and reference applications; optimize throughput, latency, scalability, and efficiency; and contribute to networking offload and acceleration capabilities. Collaborate across architecture, firmware, hardware, validation, and software teams throughout the product lifecycle. Lead complex feature development, architecture, debugging, and technical communication.

Lead strategic relationships with Capital Markets organizations across EMEA, driving adoption of NVIDIA AI and accelerated computing solutions. Serve as the primary client contact, grow revenue and platform usage, develop account strategies, forecast business, and engage senior technology leaders. Collaborate with solution architects, business development, developer relations, cloud partners, hardware providers, and software developers. Communicate solution value, provide thought leadership, and travel to meet clients and partners.

Designs, develops, and operates large-scale software-defined networking for NVIDIA AI Cloud environments. Responsibilities include building OVS/OVN control and data plane software, Kubernetes networking services, observability systems, CI/CD pipelines, GitOps infrastructure, and production reliability tooling. The role requires expertise in C, Go, distributed systems, cloud networking, Kubernetes CNIs, infrastructure automation, secure service development, and datacenter networking.