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Design, develop, and operate large-scale SDN control and data plane software (OVS/OVN/OpenFlow) for NVIDIA AI Cloud. Build network orchestration and IaC (gRPC/REST, Ansible, Terraform, ArgoCD/Flux), maintain CI/CD pipelines, implement observability/monitoring, drive upstream open-source contributions, and collaborate with SRE/DevOps to ensure production reliability and performance SLAs.

Design and implement GPU cluster scheduling and orchestration features, optimize resource usage and performance for large multi-node AI workloads, develop automation and batch workload management, perform performance analysis and root-cause investigations, support users on scheduler issues, and build the GPU-accelerated computing ecosystem.

The role involves designing and optimizing GPU architectures for AI Inference, analyzing hardware-software relationships, and developing performance models.

The Senior Hardware Systems Engineer will lead hardware pathfinding for LPU platforms, manage system architecture decisions, and oversee system debugging and program execution while collaborating with multiple teams to deliver production-ready systems.

The Senior Software Architect will design and implement communication technologies, improve performance for AI and HPC workloads, and lead innovative GPU communication solutions.

Develop and maintain web-based storage management applications, including Kubernetes operators and CSI plugins, collaborating closely across teams to define APIs.

Develop and optimize software for NVIDIA's autonomous vehicle platform, collaborating with teams and providing technical support for productization.

The Senior Circuit Design Engineer will improve netlist and timing quality in deep submicron technologies, collaborate on circuit design, and mentor junior engineers.

Lead architect for GPU and LPU systems integration at rack level, collaborating across teams to define and improve system performance, efficiency, and scalability.

The ASIC Verification Engineer will develop and automate verification test plans, ensuring code coverage and collaborating with teams on design verification processes. This role requires strong analytical and debugging skills with experience in RTL verification methodologies.