Remote Senior Solutions Architect role on NVIDIA's Infrastructure Specialists team responsible for end-to-end observability of HPC and AI factory systems. Responsibilities include running validation tools and microbenchmarks, defining health metrics and thresholds, extending telemetry across hardware and fabric, building automation (Python, Shell), working with observability stacks (Prometheus, Grafana, Loki), and collaborating with cross-functional teams to prepare systems for deployment. Requires 6+ years managing Linux-based systems in HPC or large AI/ML environments and hands-on multi-GPU/multi-node cluster experience.

Lead design, implementation, and production support of large-scale, high-performance distributed storage systems for GPU cloud services. Responsibilities include storage architecture, monitoring, automation, capacity planning, performance tuning, security/compliance, and being part of on-call rotations. Requires 8+ years' experience and expertise across storage technologies, networking protocols, Linux, programming (C/C++, Java, Python, Go, Node.js, Bash), configuration management (Ansible/Chef/Puppet/Terraform), and observability tools (Prometheus, Grafana, InfluxDB, Elastic Stack).

NVIDIA seeks a Senior AI/HPC Engineer / Solution Architect to deploy, manage, and maintain Linux-based AI/HPC infrastructure for customers. The role involves system and network design, cluster management, automation, troubleshooting, documentation and customer-facing support for large GPU clusters and AI workloads. Requires 5+ years of relevant deployment/support experience and strong Linux, networking, scheduler, and automation skills.

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 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.

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.

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.

NVIDIA is hiring a Senior AI/HPC Engineer on the infrastructure Specialist team to deploy, manage and maintain AI/HPC GPU infrastructure in Linux environments. The role involves customer-facing architecture and implementation, cluster and network optimization (InfiniBand/Ethernet), scheduler and MPI/NCCL expertise, automation (Ansible/Salt/Puppet), Kubernetes, and documentation/knowledge transfer. Requires a related degree or equivalent and 5+ years of deployment/support experience.

NVIDIA seeks a Senior Systems Software Engineer to lead performance practices for large-scale GPU infrastructure and AI workloads. The role involves system composition and tuning, debugging firmware/software performance issues, collaborating with HW/FW/SW teams (BMC/SBIOS/OS/drivers), and developing tools and methodologies for HPC and cloud/container-based environments. Requires strong experience with CUDA, Linux, container tech, C/C++/Python/Bash and 8+ years of applicable experience.

Senior HPC architect role responsible for designing, deploying, and bringing up large-scale GPU compute clusters and performance platforms. Requires 8+ years in accelerated/datacenter/HPC computing, programming/scripting in C/C++/Python/Bash, experience with parallel filesystems and scheduling/I/O stacks; familiarity with containers, telemetry/visualization, and Linux performance tools is desirable.

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.