Provide direct field assistance for first-time deployments and critical build issues across servers, GPUs, networking, storage, firmware/BMC, Linux, cabling, power, thermal, and deployment tooling. Collaborate with engineering, services, partners, and customers to shorten resolution times, validate diagnostics, document repeatable troubleshooting, and capture lessons learned. Requires 5+ years of relevant deployment or field support experience and up to 50% travel.

NVIDIA seeks a Senior DevOps Engineer to develop and improve CI/CD pipelines, build/release automation, deployment workflows, and infrastructure-as-code. The role provides primary DevOps support during India business hours, collaborates with SRE and global development teams, and involves automation, runbooks, data center tooling (NetBox, Foreman, Mellanox), and improving platform security. Requires 8+ years' relevant experience.

NVIDIA seeks an experienced reliability engineer to own Day-2 production stability for EMEA NVIDIA Cloud Partner fleets: define and measure SLOs, automate detection-to-remediation workflows, run preventive firmware and field-notice rollouts, lead incident response, and manage Kubernetes/HPC node lifecycle on heterogeneous stacks. Requires 8+ years in SRE or large-scale infrastructure operations and hands-on experience with GPU/HPC clusters, observability tooling, automation (Python/Bash, Ansible/Terraform/GitOps) and Linux/storage/networking fundamentals.

NVIDIA is hiring a Senior Technical Product Manager to own roadmap and delivery for AI infrastructure resilience, focusing on GPU node health contracts, workload failure attribution, observability and open-source operator tooling. Requires 12+ years' experience in product management, SRE, solutions architecture or infrastructure engineering, deep technical knowledge of GPU/AI infrastructure and GPU failure signals (XID, DCGM, NVLink, PCIe, sysfs, dmesg). Salary range: 208,000–327,750 USD base.

Role focuses on building automation and operational tooling for bare-metal NVIDIA GPU infrastructure (NVL72, BlueField DPUs) to move capacity into IaaS production (BMaaS/VMaaS). Responsibilities include provisioning, firmware/driver management, BMC/Redfish integration, debugging across hardware/OS/networking/Kubernetes, on-call incident response, and cross-team coordination. Requires 8+ years of production infrastructure software or operations experience and strong Go or Python skills.

Work on automation and operational tooling to provision, validate, upgrade, repair, and manage lifecycle of bare-metal NVIDIA GPU systems and DPUs. Requires 8+ years of production infrastructure experience, strong Go or Python skills, hands-on experience with BMC/Redfish, NVL72 systems and BlueField-3+ DPUs, Linux, firmware/driver management, network boot, on-call incident handling, and cross-team collaboration.

Own an internal product that measures, tracks, and reports open-source readiness across the DSX OS portfolio. Responsibilities include running the platform in production, automating scoring and integrations, building self-serve onboarding feedback, capturing engineering feedback, and automating readiness tracking and reporting. Requires 8+ years of relevant experience and hands-on experience with production reliability, automation, and agentic coding tools.

Join the DGX Cloud Production Engineering team to develop and operate production software, automation, and tooling for control plane services, model deployments, and inference/agentic workloads across Kubernetes clusters on public clouds and on-premises. Requires 8+ years building or operating large-scale distributed systems, strong programming (Python/Go), IaC/GitOps experience, and expertise in observability, SLIs/SLOs, incident response, and GPU/inference-related technologies.

NVIDIA seeks an AI Compute Engineer to deploy, manage and validate large-scale AI Compute/HPC systems in Linux environments. The role is customer-facing and involves system design, automation, cluster provisioning, networking, performance benchmarking, and handover documentation. Required skills include Linux administration, scripting (Bash/Python/Ansible), schedulers (e.g., SLURM), Kubernetes, and experience with GPU/InfiniBand/MPI and storage technologies. 4+ years of relevant experience and a four-year degree (or equivalent) are required; travel within the United States up to 20%.

Join the Production Engineering team to improve reliability, availability, and scalability of DGX Cloud inference and agentic platforms across Kubernetes clusters on AWS, Azure, Google Cloud and on-premises. Role requires 8+ years of experience operating large-scale distributed systems, strong programming skills (Python/Go), expertise in Kubernetes, infrastructure-as-code/GitOps, SRE practices (SLIs/SLOs/error budgets), observability, and incident response.

NVIDIA seeks a Senior AI Compute Engineer to deploy, manage, and validate AI Compute/HPC infrastructure in Linux environments, work directly with customers and partners from planning through implementation, and provide handover documentation. Required: 8+ years of deployment/support experience, Linux system administration, scripting (Bash/Python/Ansible), cluster management and schedulers (SLURM/LSF/UGE), networking, benchmarking (HPL/NCCL/MLPerf), and Kubernetes. Travel to US customer sites up to 20%.

NVIDIA seeks a Senior Software Engineer (SRE/Production Engineering) to build automation and operational tooling for DGX Cloud bare-metal GPU infrastructure. The role requires hands-on experience with NVIDIA GPU systems (e.g., NVL72), BlueField DPUs, BMC/Redfish, Linux, Kubernetes, and production reliability practices (on-call, incident response). Responsibilities include provisioning automation, hardware health monitoring, lifecycle management, debugging across hardware and software stacks, and collaborating with hardware, networking, and partner teams.

Work on the NeMo Helix Core platform to design and implement an agent execution and orchestration system targeting local/docker, Kubernetes, Slurm, and other backends. Requires designing APIs, plugin architectures, and improving reliability, observability, testing, and performance. Requires 10+ years of professional software engineering experience and strong Python, distributed systems, and cloud-native experience.

Work on production DGX Cloud systems enabling large GPU clusters for AI workloads, focusing on Kubernetes APIs, GPU resource scheduling, monitoring, node health, telemetry, and incident management. Requires 8+ years of relevant experience, competency in Go or Python, and experience with large-scale distributed systems. Posted salary ranges: 184,000–287,500 USD (Level 4) and 224,000–356,500 USD (Level 5).

Lead architecture and delivery of a unified network visibility platform integrating topology, configuration, telemetry, active measurement, and self-service products. Requires 10+ years industry experience, strong proficiency in Python or Go, deep networking fundamentals, hands-on observability experience (Prometheus, Grafana, OpenTelemetry), Kubernetes deployment, and experience with large-scale graph/TS/streaming systems. Role includes cross-functional technical leadership, defining data contracts and interfaces, and mentoring engineers.

Lead a team responsible for operational processes and platforms across incident management, maintenance, on-call, issue management, and customer-serving readiness. Requires 10+ years overall software engineering or related experience with 5+ years of engineering leadership. Position is based in the US (including Redmond) and offers listed annual base salary ranges (USD) depending on level.

Role to lead network architecture and operation for GPU superclusters, including CNI data plane, overlay mesh, VPNs, gateways, L7 load balancers, and scale-testing. Requires 6+ years of systems/network or infrastructure software engineering, deep Kubernetes networking and CNI experience (Calico preferred), proficiency with mesh/VPN tools (Tailscale, WireGuard), strong Linux networking fundamentals, and systems programming in Go/Python/C. Locations listed in the US (multiple offices) and Remote; posted salary ranges provided.

Role on the NGN Software-Defined Storage team to lead architecture, implementation, testing, and production operation of multi-tenant SDN for cloud gaming and AI workloads. Responsibilities include Open vSwitch/OVN integration, Kubernetes networking, automated tests and CI/CD, on-call incident response, performance and reliability engineering. Requires BS/MS or equivalent and 12+ years of experience with C and Go, Open vSwitch/OVN, Kubernetes networking, Linux networking, distributed systems, and production lifecycle practices.

Provide end-to-end Slurm support and incident resolution for production AI/HPC clusters, diagnosing scheduler components (slurmctld, slurmd, slurmdbd), scheduling and resource-management features, and surrounding infrastructure (Linux, networking, storage, authentication, databases, GPUs). Requires 5+ years administering Slurm in production and strong Linux administration, diagnostics, and communication skills; includes creating KB articles and collaborating with engineering.

NVIDIA seeks a Senior Technical Support Engineer focused on Slurm to diagnose and resolve complex issues across Slurm daemons, scheduling, resource management, and related infrastructure (Linux, networking, storage, authentication, databases, GPUs). The role requires 5+ years supporting Slurm in production, strong troubleshooting and communication skills, and experience with large-scale, high-performance environments.