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The role involves designing and optimizing GPU architectures for AI Inference, analyzing hardware-software relationships, and developing performance models.

The Senior Formal Verification Engineer will verify ASICs using formal verification methods, ensuring correctness and collaborating with architects and designers across projects.

Lead developer relations to enhance the ecosystem of GPU applications in energy. Build relationships, unblock technical integration, translate requirements, and measure outcomes for NVIDIA platforms.

Develop AI systems for efficient inference, design and optimize kernels, and build domain-specific compilers and runtimes while collaborating with engineers.

The Senior Formal Verification Engineer will verify sophisticated ASIC builds using formal methods, collaborate with architecture teams, develop verification environments, and support silicon debug.

As a Senior GPU Architect, you'll design and implement GPU profiling features, contribute to hardware models, and work with interdisciplinary teams to improve performance insights.

Create developer-facing technical materials and demos for NVIDIA Omniverse libraries, SDKs, and APIs. Produce tutorials, reference architectures, blogs, videos, and launch collateral to drive developer adoption for simulation, rendering, robotics, synthetic data, and industrial digitalization workflows. Collaborate with engineering, product, marketing, and sales to identify gaps in the developer journey and translate platform capabilities into clear technical narratives and hands-on content.

Lead end-to-end sourcing, procurement, and delivery of infrastructure and circuits for global PoP deployments. Manage carrier and data center relationships, negotiate contracts and SLAs, oversee site readiness, equipment logistics, capacity planning, testing, and documentation to ensure on-time, compliant PoP turn-up and lifecycle activities.

Design and deploy AI applications for telecommunications networks, focusing on generative models and infrastructure improvements, while providing technical guidance and building enterprise solutions.

The role involves optimizing GPU performance for neural reconstruction workflows, analyzing bottlenecks, and collaborating with engineers to enhance training and rendering systems.