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The Senior Verification Engineer will lead performance verification strategies for CPU designs, interact with architects and design engineers, draft performance test plans, create scalable micros for feature validation, and provide guidance to junior engineers.

In this role, you will design and implement OpenBMC Firmware for GPU Server platforms, focusing on performance analysis, manageability features, and collaborating closely with hardware teams. You will develop solutions for system errors and monitoring and ensure code quality through testing and documentation while adhering to product security standards.

As a Senior Systems Software Engineer at NVIDIA, you will build tools for AI model evaluation and design a CI/CD platform for model integration. You'll ensure AI systems are trustworthy, compliant, and mitigate bias, while working collaboratively across teams. Your expertise will help advance NVIDIA's commitment to ethical AI.

The Senior Tegra System Performance Architect will develop advanced system and processor architectures for machine learning and high-performance applications. Responsibilities include modeling and debugging SoC performance, collaborating with cross-discipline teams, and optimizing application performance leveraging SoC hardware resources.

As a Senior System Software Engineer at NVIDIA, you'll design and architect a platform for GPU asset management, develop and optimize solutions for datacenter firmware, collaborate with multi-functional teams, ensure system reliability, and deploy large-scale solutions for AI applications.

The Senior System Architect for the GPU team at NVIDIA will focus on developing GPU architecture improvements and optimizing performance while working collaboratively with multidisciplinary teams. Responsibilities include developing performance analysis infrastructures, implementing functional models, and documenting architecture specifications while defining and performing experiments to evaluate architectural features.

You will develop performance and power profiling tools for NVIDIA's GPUs and systems, while collaborating with various departments to calibrate models and propose hardware improvements. The role involves building infrastructure for data storage and visualization associated with profiling tools.