Jobs at NVIDIA

Lead design, deployment and scaling of on-prem Kubernetes container infrastructure and CI/CD platforms. Build automation, observability, and analytics tooling; maintain OSS CI/CD (GitLab/GitHub/Jenkins); develop integrations, monitor metrics, and support data-center compute environments for Windows and Linux.

Design and build scalable GitHub- and Kubernetes-based cloud solutions supporting millions of CI jobs across thousands of systems. Work on job scheduling, resource management, automated recovery, metrics/alerting/storage services, data analysis and ML-driven performance improvements, and collaborate across global teams to deploy and operate large-scale infrastructure.

As a Global Trade Compliance Systems Analyst, you'll manage SAP Global Trade Services operations, maintain legal regulations, develop reports, and ensure compliance with US export regulations.

Lead product management for NVIDIA board products, ensuring quality and yield goals are met. Collaborate with cross-functional teams to optimize design and processes across global manufacturing sites.

Lead a team of engineers to develop test and tools for AI-powered quality infrastructure, establish vision, and drive innovation.

Design, develop, optimize, debug, and maintain features for NVIDIA GPUs. Collaborate with teams, resolve customer issues, and improve documentation.

The role involves developing infrastructure for AI applications, managing deployment processes, analyzing data, and collaborating with developers to optimize automation systems in the Windows ecosystem.

The role involves designing and delivering high performance cloud gaming applications, including both frontend and backend development, while collaborating closely with PM and design teams.

Join NVIDIA's Software Infrastructure team as a Senior DevOps Engineer, driving automation, managing CI/CD systems, and enhancing cloud infrastructure for GPU and Automotive divisions.

The role involves developing compilers for NVIDIA GPUs, working on optimization problems, collaborating with a distributed team, and influencing new GPU architectures.

The Senior Tools Development Engineer will design and build infrastructure for automation in software quality, employing multi-agent systems and AI to improve test reliability and reduce cognitive load on engineers.

Lead and develop engineering teams for deep learning solutions. Focus on TensorRT and benchmarking. Drive technical leadership and oversee GPU deep learning implementations.

Design and develop algorithms for map-based driving products, architecture design for map integration, and implement evaluations of large scale models for autonomous vehicles.

The role involves managing the SWQA team, developing automation testing strategies, and ensuring high-quality product releases for NVIDIA's GPU products. Responsibilities include defining test engineering strategies, building automated tests, and leading cross-functional collaboration, while driving improvements in QA methodologies and workflows.

The role involves architecting and implementing SAP MDG solutions across Material and Business Partner domains, ensuring effective data governance and quality management within supply chain processes.

Develop platforms and software for Media & Entertainment and Broadcasting, focusing on Kubernetes deployment, networking, and automation within the GPU Software team at NVIDIA.

Lead enterprise customers in deploying Generative AI solutions, architect production systems, and mentor on AI Factory deployments while optimizing MLOps and inference processes.

The role focuses on designing and delivering high-performance applications across desktop and mobile platforms, optimizing for reliability, scalability, and user experience, and engaging in Agile development practices.

The Senior Tools Development Engineer will create automated test systems and maintain agent pipelines for NVIDIA's quality workflows. Responsibilities include building evaluation systems, ensuring infrastructure reliability, and driving tool adoption in collaboration with QA teams.

The Senior Solutions Architect will design and support AI/HPC infrastructure, ensuring performance and reliability while engaging with customers and internal teams.