NVIDIA

Bengaluru
Total Offices: 4
21,960 Total Employees
Year Founded: 1993

Jobs at NVIDIA

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Recently posted jobs

4 Days AgoSaved
In-Office or Remote
5 Locations
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
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.
10 Days AgoSaved
Remote or Hybrid
5 Locations
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
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.
14 Days AgoSaved
In-Office or Remote
2 Locations
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Lead the architecture and development of scalable full-stack Sales AI applications. Integrate generative AI models, retrieval systems, APIs, and agentic workflows into secure production solutions. Guide architecture across front-end, back-end, data, integrations, and cloud infrastructure while improving testing, delivery, observability, reliability, and maintainability. Lead technical decisions, investigate complex issues, mentor engineers, and collaborate with product, AI, data, security, and engineering teams.
16 Days AgoSaved
In-Office or Remote
2 Locations
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Lead post-launch operations for Sales AI applications, ensuring availability, performance, security, governance, support readiness, and continuous improvement. Establish incident, problem, change, release, and lifecycle processes; monitor service and adoption metrics; develop automation, observability, self-service capabilities, and production-readiness practices. Partner with Sales, Product, Engineering, Data, Security, and IT teams to improve user experience, platform reliability, adoption, and business value.
16 Days AgoSaved
In-Office or Remote
2 Locations
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Design, build, and evolve secure, scalable full-stack sales applications incorporating generative AI, intelligent workflows, APIs, data services, and cloud infrastructure. Lead architecture and technical design decisions, integrate AI models and retrieval systems, improve testing, CI/CD, observability, and production reliability, and mentor engineers. Collaborate with Product, AI/ML, Data, Security, Solution Architecture, and Engineering teams to deliver enterprise applications globally.
22 Days AgoSaved
In-Office or Remote
2 Locations
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
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.
One Month AgoSaved
In-Office or Remote
4 Locations
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
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.
One Month AgoSaved
In-Office or Remote
3 Locations
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
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.
One Month AgoSaved
In-Office or Remote
2 Locations
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
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.