Jobs at NVIDIA

Build and improve CI/CD pipelines, release automation, deployment workflows, infrastructure-as-code, and DevOps tooling. Triage pipeline issues, automate manual processes, maintain documentation and runbooks, support data center infrastructure, and improve platform security through hardening and credential management. Collaborate with globally distributed SRE and development teams, providing primary DevOps support during India business hours and coordinating handoffs to U.S.-based teams.

Designs, develops, implements, and supports enterprise Anaplan planning solutions. Partners with business and IT teams to gather requirements, build models, manage integrations, deliver enhancements, and oversee testing, deployment, adoption, and ongoing value realization. The role also manages project work and applies Anaplan lifecycle standards across solution design and implementation.

Provides Tier 3 technical support for networking products in data center, AI, storage, and HPC environments. Installs systems, troubleshoots complex network issues, develops customer solutions, manages complex installations, and handles problem resolution. The role requires expertise in routing, switching, virtualization, Linux, scripting, Ansible, and major network vendors. It also involves customer communication, site visits, process improvement, and collaboration with Engineering, Marketing, Support, customers, and partners.

Architects, implements, and supports advanced SAP IBP and APO supply chain planning solutions. Leads process improvements, prototypes, testing, upgrades, training, data analysis, and optimization modeling for supply and demand planning. Collaborates with business and IT teams to deliver scalable solutions, improve profitability, and support semiconductor industry planning needs. The role also mentors stakeholders and influences senior leadership on system adoption and operational improvements.

Own and resolve complex Slurm support cases for production AI and HPC clusters. Diagnose scheduler, Linux, networking, storage, authentication, database, container, and GPU infrastructure issues; advise customers on configuration, upgrades, reliability, and incident recovery; collaborate with engineering on defects; and develop technical documentation, diagnostic tools, and training.

Design, develop, operate, and optimize large-scale software-defined networking solutions for NVIDIA AI Cloud environments. Responsibilities include building OVS/OVN control and data plane software, Kubernetes networking services, observability systems, CI/CD pipelines, GitOps integrations, and secure gRPC/REST services. The role owns production reliability, incident response, performance tuning, and upstream open-source contributions while collaborating with SRE, DevOps, and network engineering teams.

Supports and operates NVIDIA’s large-scale on-premises and cloud network infrastructure in a 24/7 global operations environment. Responsibilities include monitoring alerts, resolving incidents within SLAs, troubleshooting network issues, managing IP infrastructure and datacenter interconnects, coordinating vendors, implementing upgrades and capacity expansions, improving operational workflows, and documenting best practices. The role requires extensive networking protocol knowledge, cloud experience, automation exposure, and strong incident-management and communication skills.

Design, develop, and deploy AI-powered automation for hardware performance verification. Build intelligent tools and agents for test generation, regression detection, failure analysis, and corrective recommendations. Integrate LLM assistants, create verification data pipelines, establish impact dashboards, and collaborate with verification engineers. Apply generative AI, reinforcement learning, and formal methods to improve coverage, reduce cycle times, and increase productivity across complex GPU, CPU, memory, and HPC verification workflows.

Architect and implement OpenBMC-based management for server platforms integrating BMCs, host CPUs, and top-of-rack Ethernet switches. Develop D-Bus services, Redfish APIs, object models, telemetry, security, firmware, and L2 networking capabilities. Build backend abstractions supporting switchdev, SAI, SONiC, DENT, and vendor SDKs. Collaborate across hardware, security, firmware, QA, manufacturing, and networking teams to deliver reusable, testable platform-management architecture.

Design, build, and operate a Kubernetes-based platform for global network infrastructure. Own cluster lifecycle, provisioning, upgrades, GitOps delivery, observability, capacity, and recovery. Develop automation, provide production support and on-call incident response for network services, and drive issues from detection through verified resolution.

Lead design, operation, and reliability of large-scale AI/HPC clusters. Manage day-to-day operations, incident response, automation, performance tuning, scheduler and storage optimization, and collaborate with researchers and global teams to improve GPU-accelerated infrastructure.

Design, implement, and operate scalable distributed software and network/system automation for NVIDIA's multi-tenant cloud infrastructure. Own code lifecycle, build maintainable APIs, ensure secure communications and data persistence, contribute to open-source, and present roadmaps to stakeholders.