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.

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.

Join NVIDIA to centralize and automate configuration management for a federated EDA compute estate. Responsibilities include designing the LSF cell configuration schema, building deployment pipelines with staged rollout and rollback, eliminating drift, and establishing regression and CI/CD testing. Requires 6+ years infrastructure engineering experience and proficiency with configuration management tools, GitOps practices, Go, Python, and shell.

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.

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.

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.

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.

Work with NVIDIA Cloud Partners, SAs, engineering, and product teams to own end-to-end solution integration and delivery of GPU-based AI/HPC infrastructure and applications. Requires designing and deploying distributed cloud and on-premises architectures, hands-on experience with deep learning frameworks (PyTorch, TensorFlow), Python, model fine-tuning and deployment, and 10+ years of solution/solution engineering experience.

NVIDIA seeks a Solutions Architect to work with Cloud Partners and customers to integrate NVIDIA hardware and software into large-scale GPU cloud and on-prem AI/HPC clusters. The role involves technical engagement across the customer lifecycle, PoC development, performance/scaling analysis, and presenting technical content. Requires 7+ years of solution/sales/cloud engineering experience and expertise in data center and cluster environments.

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.

NVIDIA is hiring a Senior Solutions Architect to work hands-on with cloud partners to solve Day 2 operations challenges for large-scale GPU and AI infrastructure. The role requires substantial production infrastructure experience (12+ years, or 5+ years of exceptional specialist-level work) and hands-on knowledge across GPU/HPC/cloud stacks (e.g., Kubernetes/Slurm, Prometheus/Grafana/OpenTelemetry, Terraform/Ansible/Argo CD, Linux, Python/Bash) and storage/networking/GPU technologies. The posting lists an expected base salary range of 224,000–356,500 USD per year.

Hands-on role partnering with engineers running AI clouds to diagnose and solve production Day 2 problems, prototype and validate fixes, and convert solutions into reusable operating procedures, reference architectures, automation, and telemetry. Requires extensive production infrastructure/cloud/SRE experience (12+ years or 5+ years for exceptional specialists) and hands-on experience with GPU/HPC/cloud technologies (e.g., Kubernetes, Prometheus, Terraform, DCGM, high-performance storage and networking).

NVIDIA seeks a Software & System Architect to define architectures for DPUs, NICs and cloud networking, including orchestration, provisioning and security. The role requires designing end-to-end solutions (application to hardware), evaluating technologies, building POCs, and collaborating with global SW/HW teams and customers. Minimum qualifications include a degree in a relevant field and 2+ years' experience as a software/system architect and as a software developer, with strong skills in C, Python, Linux and container technologies.

Hands-on Solutions Architect to design, deploy, and operate Kubernetes-based platforms for distributed GPU and robotics workloads (simulation, synthetic data, training, inference). Collaborate with product, engineering, and business teams to drive adoption of NVIDIA Physical AI technologies. Requires 5+ years in solution architecture or infrastructure engineering and experience with networking, storage, workflow orchestration, DevOps practices, and NVIDIA inference/simulation tools.

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.

Build, operate, and automate cloud-native platform services (Python/Go) on Kubernetes to support DGX Cloud and SuperPod deployments. Responsibilities include infrastructure orchestration, self-service workflows, integrations, observability, security, and collaboration with networking and infrastructure teams. Requires BS or equivalent and 8+ years of relevant experience; experience with Terraform, Ansible, Temporal, databases, messaging (Kafka/NATS/SQS), Prometheus/Grafana/OpenTelemetry, and networking/security technologies.

Experienced software engineer to develop and maintain automation tooling and orchestration for NVIDIA's GPU Cloud and SuperPod deployments. Responsibilities include building network design and configuration management solutions, integrating with cloud provider APIs, working with DCIM tools (NetBox/Nautobot), implementing containerized services (Kubernetes/EKS), and developing streaming/event pipeline architectures. Requires strong background in networking, network automation, Python and Go, and 12+ years of relevant experience.

Embed with internal research and product teams to design and implement distributed cloud infrastructure (compute, storage, networking, GPU capacity) across IaaS/PaaS/SaaS. Provide architectural guidance, write production code, build automation and tooling, and drive capacity-planning and cross-functional infrastructure strategy.