Responsible for designing and building multi-tenant cloud SDN control and data plane software, virtual network orchestration, and network observability; operating OVS/OVN-based SDN in large-scale environments; and maintaining CI/CD, GitOps, and production reliability. Requires 5+ years of experience, expert knowledge of OVS/OVN/OpenFlow, strong C and Go skills, scripting in Bash/Python, and practical Kubernetes/CNI experience.

Design, implement, and support operational and reliability aspects of large-scale observability and telemetry collection platforms (monitoring, logging, alerting). Support full service lifecycle from design through deployment and operation, focusing on automation, capacity management, performance, and sustainable incident response. Requires a BS in Computer Science or equivalent and 5+ years' experience in infrastructure automation, distributed systems, and delivering observability platforms; experience with Linux, networking, containers, Kubernetes/OpenStack, and languages such as Python or Go. Includes participation in on-call rotation.

Hybrid senior role (Austin, TX + remote) responsible for owning scheduler behavior across 15–25 federated IBM Spectrum LSF cells, diagnosing MultiCluster forwarding and cross-cluster contention, setting cell topology and federation design, and encoding scheduler policy with IaC. Requires 8+ years in HPC/large-scale batch compute and 5+ years on LSF, with strong Linux, Python/Perl/shell, and hands-on MultiCluster experience. Listed base salary range: 184,000–356,500 USD/year (varies by level).

Role requires 12+ years experience designing and building distributed systems. Responsibilities include developing scalable network and systems automation for multi-tenant cloud infrastructure, building and maintaining APIs, contributing to open-source projects, and owning features through production. Required skills include advanced programming (C/C++/Go/Rust), networking fundamentals and protocols (IP/IPv6/BGP/HTTP/ICMP/tunneling), secure communication (mutual TLS/IPsec), data persistence (SQL), and experience with EVPN/VXLAN, routing and traffic engineering is desirable. Location indicated as US (Santa Clara) and remote.

NVIDIA seeks a Distinguished Engineer in Production Engineering to set technical strategy and operating standards for DGX Cloud cluster lifecycle and runtime operations. The role is hands-on and cross-organizational, requiring deep experience in Kubernetes-based production systems, infrastructure automation, distributed systems, Linux, networking, and strong software engineering (Python/Go), with responsibility for improving reliability, operability, and production readiness at scale.

NVIDIA seeks a Senior High-Performance Storage Architect to deploy, manage, and validate storage infrastructure (SDS, NFS, S3, NVMeoF, Lustre, GPFS, etc.) in Linux-based AI environments. The role requires 8+ years of storage deployment/support experience, proficiency with benchmarking tools and scripting (Bash, Python, Ansible), strong networking and Linux administration skills, and up to 20% travel within the region.

NVIDIA seeks a Senior Systems Software Engineer to develop platform software based on container runtimes and Kubernetes, enabling GPUs as first-class resources. Requires strong systems programming (Go, C), experience with Kubernetes and containers, Linux internals, cloud and distributed systems, and 8+ years of relevant experience.

Role requires 8+ years of systems engineering experience with RPM-based Linux, strong Infrastructure-as-Code (Ansible, Terraform), scripting (Python, Bash, Go), container and virtualization internals (Docker, Podman, Kubernetes, MicroVMs), and management of naming and networked storage (LDAP/SSSD, NFS/Autofs). Experience with GCP/AWS, CI/CD, and HPC/EDA workloads is desirable.

NVIDIA seeks a Senior Systems & Software Engineer to build and operate reliable large-scale EDA infrastructure and platform services. The role requires designing, building, deploying and running infrastructure services, developing automation, participating in SLO/observability definition, and rotating on-call. Required skills include 8+ years relevant experience, Python and/or Go, infrastructure automation, Linux and containers, and experience running large-scale cloud or private cloud systems (Kubernetes/OpenStack/Docker/Slurm).

NVIDIA seeks a Senior MLOps Engineer to develop and deploy AI infrastructure solutions, advise customers and partners, profile and tune large-scale training and inference workloads, and build open-source tools and reference architectures. Requires 8+ years of technical experience, strong systems and programming skills (Linux, Kubernetes, Python, C++/Go/Rust), and experience with ML frameworks and datacenter-scale networking. Role is listed for Germany, Czechia, and Poland (remote options).

Work with NVIDIA Cloud Partners to implement Day 2 operational readiness for large GPU-accelerated clusters, including continuous validation, observability, automated detection/remediation, driver/firmware lifecycle, and operational runbooks. Requires 8+ years in infrastructure/SRE/DevOps roles, strong Linux and Kubernetes experience, programming/automation skills (Python, Go, shell), and knowledge of networking, storage, and NVIDIA GPU technologies.

NVIDIA is hiring a Senior High-Performance Storage Architect to deploy, manage and validate high-performance storage in Linux-based AI Factory environments. The role requires 8+ years of storage deployment/support experience, expertise with technologies such as SDS, NFS, S3, NVMe-oF, Lustre, GPFS, RDMA (RoCEv2/InfiniBand), storage benchmarking tools, strong Linux and scripting skills (Bash/Python/Ansible), and up to 20% regional travel.

Join the NeMo Helix Core team to design and implement a plugin-based AI agent execution framework that runs across multiple compute backends (local/docker, Kubernetes, Slurm, on-prem/air-gapped). Responsibilities include owning Core Platform APIs (jobs, data, entities, secrets, RBAC/Auth), extending plugin architecture, improving observability/reliability/performance, contributing in an open-source repo, and building test coverage across unit, integration, E2E, Docker, and Kubernetes workflows. Requires BS/MS or equivalent, 10+ years professional software engineering experience, strong system design, and excellent Python and cloud-native/container orchestration skills.

NVIDIA is hiring a Senior Software Engineer to design and build platforms and automation for large-scale GPU and CPU compute infrastructure supporting EDA workloads. Responsibilities include provisioning, configuration, monitoring, remediation, integration with schedulers and observability systems, and incident response. Requirements include 5+ years supporting large-scale production systems, strong Go or Python programming, Linux and distributed systems experience, and familiarity with schedulers (e.g., Slurm, LSF, Kubernetes) and infrastructure automation. Position available in multiple US locations and remote; salary ranges provided.

Role to build and operate scalable telemetry pipelines and observability platforms; standardize and automate incident, maintenance, and on-call workflows; and build and maintain hardware/software catalogs and inventories. Requires BS or equivalent and 8+ years of infrastructure/platform engineering or tooling experience. Proficiency in Python, Go, TypeScript, or Java.

NVIDIA seeks a Senior Manager to direct HPC service engineering for planning, deploying, validating and operating large-scale AI/HPC systems. Requires 10+ years in IT/HPC (including 3+ years in management), experience with InfiniBand/Ethernet, cluster provisioning tools (Slurm, salt, xCAT), parallel programming (MPI/OpenMP/NCCL) and Linux/Unix administration. Position is for US-based locations (remote) and the posting lists base salary ranges (USD 216,000–396,750 depending on level). Applications accepted through November 3, 2026.

NVIDIA is hiring a Data Center Infrastructure Specialist to design and implement data center infrastructure solutions, perform datacenter planning (floor plans, rack elevations, cable deployment, point-to-point design), validate work instructions, document processes, and oversee on-site vendor work. Requires 5+ years' experience in data center infrastructure or field service, relevant degree or equivalent, strong knowledge of servers, network equipment, networking, storage, and virtualization. Travel is required; network certifications such as CCIE and experience with InfiniBand are advantageous.

NVIDIA is hiring a High-Performance Storage Architect to join the Infrastructure Specialists team (Santa Clara, CA / remote). Responsibilities include deploying, managing, and validating high-performance storage for AI environments, acting as domain expert during customer engagements, producing documentation and knowledge transfers, and providing feedback to internal teams. Requires 5+ years supporting hardware/software storage products and experience with SDS, NFS, S3, NVMe-oF, Lustre, GPFS, RDMA (RoCEv2/InfiniBand), storage benchmarking tools (FIO, IO500, IOR, HPL, NCCL, MLPerf), Linux administration, networking, and scripting (Bash, Python, Ansible). Salary ranges provided in the posting.

Role involves designing, deploying and supporting large-scale AI/HPC networking (Ethernet/InfiniBand/RDMA), including performance benchmarking, monitoring, troubleshooting, automation and CI/CD for network operations. Requires hands-on experience with switch/router platforms (Cumulus, SONiC, IOS, Junos, EOS), RDMA optimizations, automation tools (Ansible, Salt, Python) and at least 5 years of relevant networking experience. Strong English communication skills are required.

NVIDIA seeks a Senior Technical Marketing Engineer to stand up and validate full DSX software stacks on multi-node GPU systems, produce technical content (reference architectures, guides, runbooks, demos), automate deployments, and support partners and field teams. Requires 8+ years of relevant infrastructure/systems/solutions engineering experience and hands-on knowledge of Linux data center or cloud AI infrastructure, Kubernetes and/or Slurm, containers, IaC, observability, networking, and storage.