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The Software Quality Assurance Engineer will work closely with developers and customers to analyze reported issues and verify defect resolutions. They will test NVIDIA products, ensuring compatibility and high quality, while also developing tools to enhance efficiency. Strong experience in Windows OS and Python scripting is required, along with a background in PC hardware and game testing.

As a Senior DevOps Engineer, you will improve the infrastructure for application services, manage a multi-tenant Kubernetes platform, support a hybrid cloud environment, and ensure high service quality. You will work with cross-functional teams, automate management, and assist in incident resolution while participating in on-call duties.

Seeking Engineers to build CUDA-Q platform for programming Quantum-Classical systems. Responsibilities include solving problems at the intersection of libraries, programming models, HPC, and quantum computing. Requires 5+ years of experience in library development and quantum computing.

As a Senior Software Engineer at NVIDIA, you'll code mainly in C/C++ and Python, collaborating with teams to develop software tools that optimize workflows in various sectors, including high performance computing and machine learning. You'll engage with customers to solve problems and drive the delivery of multi-functional software solutions.

As a Senior System Software Engineer at NVIDIA, you'll develop and support platform drivers for SOCs, build automation tools, and collaborate with OEM customers. Your role involves enhancing OS driver functions, dealing with complex systems, and participating in architecture and simulation for innovative products.

As a Senior System Software Engineer on the DRIVE SIM Platform Software team at NVIDIA, you will design and develop AV simulation platforms, optimize workflows, and provide technical leadership. Your responsibilities include system integration, creating REST APIs, and improving performance in a collaborative environment.

The Senior Product Manager will develop an understanding of datacenter workloads, especially for Large Language Models, address customer needs, and create product proposals. They will work cross-functionally to develop go-to-market plans and collaborate with sales teams for product positioning and collateral.