Role owns lifecycle and automation of Kubernetes environments for network systems across data centers and cloud, including cluster provisioning, upgrades, GitOps delivery, observability, capacity, and production on-call/incident response. Requires 8+ years of relevant experience, deep Kubernetes expertise, proficiency in a general-purpose language (Go or Python), and experience with GitOps, IaC, CI/CD, and network automation/telemetry on Kubernetes.

Work on building high-performance storage paths, client libraries, and filesystem frameworks for AI workloads across object stores, file systems, and hybrid cloud. Responsibilities include improving performance, scalability, reliability, and observability for large-scale GPU-based training and inference, collaborating with platform and SRE teams, and using modern engineering practices. Requires a BS (or equivalent) and 5+ years of software engineering experience. Posted salary ranges: 152,000–241,500 USD (Level 3) and 184,000–287,500 USD (Level 4).

NVIDIA seeks a Senior Solutions Architect to support GPU- and NVLink-based cluster design, performance modeling, validation, and NPI deployments for large-scale AI and HPC infrastructures. Requires 8+ years of cluster design and HPC/GPU experience and hands-on troubleshooting with NVIDIA technologies and networking/topologies.

NVIDIA seeks a Senior Solutions Architect to partner with cloud providers and customers on end-to-end GPU and NVLink cluster architecture, performance modeling, validation, debugging, and NPI deployments. Requires expertise in large-scale distributed systems, AI/HPC clusters, networking, and hands-on experience with NVIDIA technologies.

Lead validation, tuning, benchmarking, profiling, and root-cause analysis of multi-GPU and multi-node LLM workloads using NVIDIA stacks (PyTorch, NeMo/Megatron, TensorRT-LLM). Requires 8+ years building software infrastructure for large-scale AI/HPC, deep experience with NCCL/CUDA, expert Python and C/C++, and experience operating containerized scheduled clusters.

NVIDIA seeks a Senior Software Engineer to debug and extend cloud-native stacks for multi-rack, multi-tenant AI/ML datacenters (Kubernetes and Slurm), prototype operator and Slurm plugin features, build reproducible testbeds (Helm/Ansible/Terraform), and work directly with CSPs. Requires 10+ years in distributed systems software development, strong Kubernetes and Slurm expertise, GPU integration experience, and familiarity with CI/CD, observability, and infrastructure-as-code. Locations listed in the US (Austin, Redmond, Seattle, Santa Clara) and remote; published base salary ranges in USD are provided in the posting.

NVIDIA seeks a Senior Network Reliability/Operations Engineer to remediate alerts, triage production-impacting network incidents, engage vendors, and support large-scale IP networks across on-premises and cloud environments. Role includes 24/7 global shift rotations, working with peering and datacenter interconnect technologies (PNI, Transit, Exchange, DWDM), and using/creating tooling and automation. Required: deep knowledge of TCP/IP, BGP, OSPF, MPLS, VxLAN, EVPN, QoS, and experience with CSPs (AWS/Azure/GCP/OCI) and vendors like Arista, Juniper, and Fortinet. Posted salary ranges: USD 136,000–224,250 (Level 3) and USD 168,000–264,500 (Level 4).

NVIDIA seeks a Senior Network Engineer to lead architecture and delivery of cloud network infrastructure (intra-DC, inter-DC, Corp IT, Internet). Requires 8+ years of experience with large-scale IP networking (MP-BGP, OSPF, ISIS, VRF, VXLAN/EVPN, QoS, IPSEC, MACsec), datacenter interconnect/peering (PNI, transit, DWDM), hands-on automation with Python/Shell, and experience with Arista/Cumulus/Fortinet equipment.

NVIDIA seeks a Senior Solutions Architect to drive technical execution across engineering, product, and sales teams to achieve hyperscaler-scale deployments of GPU-based data center infrastructure. Responsibilities include architecting high-performance distributed AI systems (on-prem or cloud), supporting sales to secure design wins, troubleshooting hardware/software issues with emphasis on deep learning inference, analyzing deployment logs, and developing demos and system designs. Requires a BS/MS/PhD or equivalent experience, at least 4 years in high-tech/system design or customer support, strong analytical skills, and excellent written and oral English communication.

Hands-on Solutions Architect responsible for architecting and scaling high-performance distributed AI infrastructure (on-prem or cloud) using NVIDIA GPU systems, supporting sales to secure design wins, and providing technical and onsite troubleshooting for deep learning inference workloads. Requires 8+ years in high-tech electronics/system design or technical customer support, strong analytical/problem-solving skills, and excellent English communication. Familiarity with NVIDIA hardware (e.g., H100, GB200), NCCL, DCGM, UFM, and embedded Linux is highlighted.

Provide 24/7 shift-based network operations and incident remediation for NVIDIA's cloud and data center networks. Responsibilities include alert monitoring and resolution within SLAs, troubleshooting L3 underlay and multi-vendor network protocols (BGP, OSPF, MPLS, EVPN, etc.), engaging vendors for hardware/software issues, and contributing to automation and monitoring tooling.

Join NVIDIA's AI Infrastructure team to design full-stack solutions—hardware architecture, orchestration, and application tuning—for AI inference and physical AI workflows. The role involves customer-facing technical sales, delivering hybrid cloud and on-prem architectures, performance optimization, and feedback to product and engineering teams. Requires a bachelor's (or equivalent), 3+ years' relevant experience, and hands-on knowledge of Linux, Kubernetes, and cloud-native tooling.

NVIDIA seeks a Senior Cloud Infrastructure and DevOps Solutions Architect to work with Neo Clouds and customers on deploying and operating large-scale AI/HPC systems. Responsibilities include maintaining computational infrastructure, optimizing Kubernetes-based container platforms, automation (IaC), monitoring/observability, storage and networking, and delivering runbooks and customer-facing guidance. Requires 5+ years managing scalable cloud/HPC environments and hands-on experience with Kubernetes, Linux, storage solutions, Python/Bash, and infrastructure automation tools.

Role requires designing, deploying, and operating large-scale AI/HPC networking and infrastructure (Neo Clouds) with emphasis on performance, monitoring, automation, and customer engagement. Requires 5+ years in networking, expertise in EVPN/BGP/OSPF/VXLAN, hands-on experience with Cumulus/SONiC/IOS/Junos/EOS, and automation using Ansible/Salt/Python. Must have strong English communication skills.

Work on designing, implementing, and running core attestation cloud services that integrate hardware trust mechanisms with large-scale distributed systems. Responsibilities include API and SDK/CLI development, reliability and SLO/SLI-driven operations, trust-material distribution, verification workflows, and mentoring. Requires extensive distributed systems and cloud experience with security-focused knowledge such as PKI, TLS, signing, and secrets management.

Work on infrastructure software and tools to improve efficiency and resiliency for large-scale pre-training, post-training, and inference. Requires 8+ years building software infrastructure for large-scale AI systems, proficiency in Python/C/C++, experience with observability stacks (e.g., ELK, Prometheus, Loki), distributed systems, debugging/root-cause analysis, and familiarity with RDMA/NCCL/ucx/libfabrics and deep learning frameworks (PyTorch, TensorFlow, JAX, Ray).

NVIDIA seeks a Senior Cloud Infrastructure/DevOps Solutions Architect to manage and automate large-scale HPC/AI clusters, design and deploy networking and storage solutions, develop CI/CD and automation tooling, and support customers (including Japanese-speaking customers) in troubleshooting and POCs. Requires 8+ years' experience in networking, data center architecture, Kubernetes, HPC job schedulers, Linux/Windows systems, storage technologies, Python, and automation tools.

NVIDIA seeks a Senior Architect to guide software design, architecture, and implementation of cost, power, and performance modeling for datacenter-scale GPU-accelerated platforms. Requires 8+ years in systems architecture and modeling, strong Python skills, and experience with datacenter/server architecture, parallel computing, data analysis, and DevOps practices.

Work on cloud-native data and storage services (dataset discovery, ingestion, governance, checkpointing, observability, low-latency access) to support exabyte-scale, high-performance GPU training and inference. Requires BS (or equivalent) and 5+ years software engineering experience with strong foundations in algorithms, data structures, distributed systems, and experience with Kubernetes, cloud providers (AWS/GCP/Azure) and languages such as Go, Python, Rust, C/C++, or Java. Collaboration with product, platform, SRE, and operations teams and focus on reliability, performance, and production readiness.