Define advanced chip interconnects, optimize performance, work with design teams, model and validate architecture, and drive implementation in a dynamic team environment.

Drive development of innovative enterprise AI solutions, manage product roadmaps, define business outcomes, and collaborate with engineering teams.

Responsible for providing development and operational tooling for DGX Cloud services, ensuring quality and optimized SDLC, and automating deployment and management of Kubernetes components.

The Senior Software Architect for AI Networking will develop and research advanced networking technologies, design software/hardware solutions, and lead the development of prototypes optimizing AI infrastructure.

Lead a team in developing production test solutions for networking systems, ensuring high quality while collaborating across departments and managing the product lifecycle.

As a Senior Chip Design Engineer at NVIDIA, you'll design and verify high-speed communication devices, collaborating with firmware teams globally and focusing on performance and power efficiency.

Manage a design and verification team for chip development. Verify high-speed networking devices while ensuring performance and efficiency. Collaborate with architecture teams.

The role involves developing and supporting flows and scripts using EDA tools, collaborating with the PD team, and improving design flows for better performance, power, and area (PPA).

Manage and maintain VLSI development infrastructure, develop automation scripts, create monitoring dashboards, and collaborate with a remote team.

Lead power modeling and analysis of DPU technologies, contribute to power estimation models, and manage performance vs power analysis of Nvidia products.

The role involves leading IC product engineering activities, performing data analysis, collaborating with vendors and internal teams, and improving networking products.

The Director of Product will define the strategy and roadmap for AI training software, working with AI researchers and leading product managers to develop next-generation frameworks and campaigns.

Manage and mentor a software engineering team, collaborate on AI content, improve documentation, and engage with the developer community.

The Senior Technical Marketing Engineer will shape NVIDIA's AI inference messaging, develop content, analyze competition, and facilitate product launches.

Lead and optimize the development and production of GPU boards for NVIDIA’s Server Platforms, ensuring quality and performance throughout the lifecycle.

Administer and support Jira and Confluence for engineering teams, optimizing productivity, managing projects, troubleshooting issues, and training users.

The System Software Engineer will develop GPU applications, create software tools, architecture testing infrastructure, and collaborate with hardware teams to validate products.

The Director will lead the Operations Engineering team for NVIDIA's DGX products, focusing on product development, test methodology, and massive production ramp-up across global teams.

The Distinguished Engineer for Streaming AI will design and develop AI-powered streaming solutions, integrating cloud infrastructure and collaborating with global teams to create innovative technologies and enhance user experience.

Drive the development of SOCs by collaborating with multi-functional teams, analyzing performance limits, and troubleshooting failures in testing environments.