Role focuses on full lifecycle development and operation of multi-tenant cloud SDN control and data plane software (OVS, OVN, OpenFlow), network orchestration (gRPC/REST), observability, CI/CD (GitLab), and production reliability. Requires 8+ years' experience, expert knowledge of OVN/OVS/OpenFlow, strong C and Go skills, Linux networking and Kubernetes (OVN-Kubernetes). Salary range stated: 184,000–287,500 USD/year.

NVIDIA seeks a hands-on Senior Solutions Architect to solve Day 2 operational problems for NVIDIA Cloud Partners, making validated solutions reusable across the ecosystem. The role requires extensive experience building and operating distributed, GPU/HPC or cloud infrastructure (deep expertise in areas such as Kubernetes/Slurm, observability, storage, networking, and automation) and strong skills in troubleshooting, collaboration, and communication. Base salary range listed: 224,000 USD - 356,500 USD per year.

NVIDIA is hiring a Solutions Architect to work with cloud partners and customers on datacentre design, power distribution, cooling strategies, and MEP integration for large-scale AI/HPC GPU deployments. The role requires customer-facing technical leadership across the full lifecycle, PoC development, and collaboration with sales and engineering; minimum 8 years' relevant experience and datacentre certification requested.

Lead technical strategy and execution for core Kubernetes platform capabilities including cluster management, control plane services, fleet lifecycle, and day-2 operations. Build reliable distributed systems and APIs for provisioning, upgrading, operating, and remediating Kubernetes clusters at scale across cloud and on-premises environments. Mentor engineers, influence architecture, and drive cross-functional initiatives.

Role involves architecting, deploying, and tuning large-scale HPC and AI clusters (CPU/GPU), managing job scheduling and orchestration (e.g., Slurm, Kubernetes), developing CI/CD pipelines and automation, deploying monitoring/logging/alerting, troubleshooting from bare metal to application level, and supporting R&D and POCs. Requires strong Linux/Windows, networking, storage, scripting, and virtualization knowledge.

Hands-on Solutions Architect role focused on designing, deploying, and operating Kubernetes-based platforms for distributed robotics and Physical AI workloads (simulation, synthetic data, training, inference). Requires experience with GPU acceleration, NVIDIA inference tooling, workflow orchestration (Airflow/Argo), DevOps practices (GitOps, IaC, observability), networking and storage systems, and customer-facing technical leadership.

Join NVIDIA's Networking Solution Architect team to drive end-to-end networking solutions for cloud, telco, enterprise, AI and HPC customers. Responsibilities include defining reference architectures, technical pre-sales, responding to RFP/RFI, building POCs, troubleshooting, and delivering customer trainings. Requires deep networking knowledge (L2/L3 Ethernet, topologies), system-level understanding (Linux, PCIe, NICs), strong presentation and POC skills, and 3+ years relevant experience. Travel mainly in EMEA (~30%) is required.

NVIDIA is hiring a Senior Software Engineer to develop and operate the Unified Access Management (UAM) platform, a policy-as-code system enforcing access control across cloud services. The role involves designing, coding, deploying features, integrating UAM with other services, and participating in on-call support. Required: BS/MS or equivalent, and 5+ years' experience (noted in ML/AI areas), with expert knowledge of AWS, Kubernetes, and GitOps and familiarity with ACL/RBAC/ABAC authorization strategies.

Join NVIDIA’s DGX Cloud DSX Kubernetes Fleet team to design and implement software that manages a fleet of GPU/DPU-accelerated Kubernetes clusters. Responsibilities include building APIs and workflows, automation of build/test/release, provisioning, upgrades, and lifecycle management. Requires 10+ years experience, expert-level systems programming in Go/C, strong Kubernetes and container technology knowledge, deep Linux/kernel internals experience, cloud and distributed systems background, and hands-on CI/CD and automation experience.

Lead design and development of software to manage a fleet of GPU- and DPU-accelerated Kubernetes clusters, including automation of provisioning, upgrades, deployment pipelines, and lifecycle management. Requires deep experience with Kubernetes, systems programming (Go, C), Linux kernel internals, CI/CD automation, cloud and distributed systems, and production reliability and security.

NVIDIA is hiring a Senior AI/ML HPC Cluster Engineer to lead day-to-day operations, reliability, and performance optimization of on-premises and cloud GPU clusters. The role requires a minimum of 5 years' experience with large-scale compute infrastructure and hands-on skills with schedulers (e.g., Slurm, K8s, PBS), Linux administration, configuration management, container technologies, Python/bash scripting, and MPI-based workflows.

Join NVIDIA's Cloud Foundations Automation team to architect, develop, and operate secure, scalable cloud-native platform services and infrastructure automation for DGX Cloud and SuperPod. Requires 8+ years' experience and strong proficiency in Python and Go, Kubernetes, infrastructure automation (Terraform, Ansible), workflow orchestration (Temporal), distributed systems (databases, Redis, Kafka/NATS/SQS), observability (Prometheus/Grafana/OpenTelemetry), networking, and Linux. Salary ranges provided in the posting.

NVIDIA is hiring a Senior Software Engineer to build and operate automation software for network design, deployment, and day-2 management of GPU cloud and SuperPod deployments. The role requires 12+ years of relevant experience, strong proficiency in Python and Go, experience with NetBox/Nautobot and network configuration systems, familiarity with Kubernetes (including EKS), and streaming telemetry protocols (gRPC/GNMI). Published base salary ranges: $200,000–$322,000 (Level 5) and $248,000–$391,000 (Level 6) per year.

NVIDIA seeks a Solutions Architect to work with Cloud Partners and customers to design, implement, and operate large-scale AI/HPC GPU clusters. Responsibilities include technical customer engagement across the lifecycle, building PoCs, troubleshooting performance and scaling, and delivering technical content. Requirements include a BS/MS/PhD or equivalent experience and 7+ years in solution/sales/cloud engineering. Position based in the US (multiple states/remote). Salary ranges provided per year.

NVIDIA is hiring a Senior Software Engineer (Resilience Engineering) for DGX Cloud to lead org-wide reliability strategy, establish and maintain SLOs, lead high-severity incident response, implement chaos engineering and failure-injection practices, and improve production code and tooling. The role asks for 8+ years of industry experience, deep experience running large-scale production systems, practical reliability experience, and proficiency in Go, Python, or similar languages. Listed salary range: USD 184,000–356,500 (base, annual across levels).

NVIDIA seeks a Senior Performance Engineer to design and execute performance studies, establish baselines, diagnose bottlenecks, and drive optimizations for DGX Cloud AI workloads. The role requires strong programming in C++ and Python, deep knowledge of operating systems, computer architecture, distributed systems, and experience with performance engineering, profiling, and benchmarking; experience with CUDA, GPU performance analysis, and deep learning frameworks (PyTorch, JAX/XLA) is listed as a differentiator.

Join NVIDIA's DGX Cloud team to design and implement APIs, workflow automation, state management, and integrations with Kubernetes and observability tools (Prometheus, OpenTelemetry, Grafana). Requires 8+ years' experience, proficiency in Go/Java/Python, and strong background in cloud infrastructure, container technologies, and high-scale distributed systems.

Responsible for designing, implementing, and supporting large-scale storage clusters and storage services for GPU cloud (DGX Cloud). Duties include monitoring, logging, alerting, capacity planning, performance tuning, automation, on-call support, and ensuring data security/compliance. Requires 8+ years' experience with distributed/high-performance storage, storage networking protocols (NFS, SMB, iSCSI, S3, Fibre Channel, RDMA, NVMe-oF), Linux-based systems, programming for automation (C/C++, Java, Python, Go, NodeJS, Bash), and infrastructure-as-code/observability tools (Ansible/Terraform/Chef/Puppet, Prometheus/Grafana/InfluxDB/Elastic).

Lead end-to-end provisioning and procurement for PoP sites (wavelengths, Ethernet, IP transit, dark fiber, subsea IRUs), coordinate with carriers and data centers, manage vendor selection and contract negotiation, and support circuit turn-up and testing. Requires 8+ years' experience and technical knowledge of transport technologies (DWDM, Ethernet, OTN, MPLS) plus datacenter rack and power infrastructure. Salary ranges provided for Level 4 and 5 (168,000–264,500 USD and 208,000–333,500 USD respectively).

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.