Teams at NVIDIA

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.

Support and develop large-scale OpenStack cloud infrastructure across multi-site deployments. Troubleshoot OpenStack services, PXE provisioning, networking, distributed systems, and third-party dependencies. Collaborate with SRE, platform, software, data center, and product teams to improve deployment quality, reliability, and time to market. Contribute Python and automation code while monitoring, investigating KPIs, resolving incidents, and supporting NVIDIA’s global engineering infrastructure.

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.