• Apply your knowledge of debuggers, binary instrumentation and computer architecture to enhance existing compute debugger tools and libraries, and extend them to new use cases. • Architect, design, and implement solutions to integrate new debugger features into existing NVIDIA developer tools products. • Collaborate closely with research, libraries, and product teams at NVIDIA to identify debugger features that can effectively improve developer productivity and efficiency. • Document requirements and designs, and review documents with teams throughout NVIDIA. • Develop the compute debugger tools for GPUs running on Linux, Windows, and embedded operating systems. • Effectively estimate and prioritize tasks in order to create realistic delivery schedules. • Provide peer reviews to other engineers, including feedback on performance, scalability and correctness. • Mentor junior engineers.

• Collaborate with Configuration Management tools and Workflow management tools such as Ansible and Stackstorm to handle and deploy COLO multi-platform server clusters in NVIDIA Data Centers worldwide. • Build and develop infrastructures, tools, and automation scripts to improve automation support for various activities such as image management, switch management, deployment, data analytics, automated testing, logging, monitoring, and alerts for different micro-services. • Apply agentic AI to develop AI orchestration skills and manage Data Center operations at scale using infrastructure tools like netbox, foreman, and Mellanox switches. • Employ the latest infrastructure management technologies like Kubernetes and Docker to ensure fast and consistent delivery. • Own the infrastructure for micro-services and provide operational support to application teams, focusing on automation service, infrastructure and security improvement, and live service troubleshooting.

Role Description We are currently searching for a Full-Stack Engineer - Catalog to help modernize and scale a business-critical product catalog platform. This role involves end-to-end ownership across backend services, frontend applications, APIs, and relational databases. - Design, build, and deploy catalog features end-to-end - Develop APIs, business logic, data models, and React-based UI components - Participate in platform modernization initiatives - Use AI-assisted development tools for coding and test automation - Write and maintain automated tests - Collaborate with Product and Design teams Qualifications - Experience: 7–10+ Years - Backend expertise in C#/.NET, Go, Python, or Java - React or modern frontend framework experience - REST APIs and microservices architecture - MS SQL Server or PostgreSQL - CI/CD and automated testing - AI-assisted development tooling experience - Exposure to specific tools and has used AI in concrete workflows (e.g., 'I use Cursor for brownfield navigation and Claude Code for test generation') - Used AI for multiple SDLC steps: coding, testing, code review, documentation - Specific project with clear role for AI tooling and clear personal contribution - Exposure in validating or correcting AI output - Exposure on what worked and where AI fell short - Opinions on limitations of AI tools and how they compensate Requirements - Experience: 7–10+ Years - Backend expertise in C#/.NET, Go, Python, or Java - React or modern frontend framework experience - REST APIs and microservices architecture - MS SQL Server or PostgreSQL - CI/CD and automated testing - AI-assisted development tooling experience - Exposure to specific tools and has used AI in concrete workflows (e.g., 'I use Cursor for brownfield navigation and Claude Code for test generation') - Used AI for multiple SDLC steps: coding, testing, code review, documentation - Specific project with clear role for AI tooling and clear personal contribution - Exposure in validating or correcting AI output - Exposure on what worked and where AI fell short - Opinions on limitations of AI tools and how they compensate Benefits - Fully remote

• Be the technical reference for the cluster: architecture decisions, technology choices, and design reviews go through you • Close the end-to-end delivery loop: define, execute, deliver to production, and monitor • Mentor the cluster's Technical Owners and senior engineers: success is the team operating with less dependence on you • Participate in cross-cluster Tech Governance: architecture sessions and technical standards with other company leads • Represent the cluster's technical vision to product and management when needed • Lead by example in the use of AI in development as a process reference for the team