Role owns the lifecycle and automation of the Kubernetes platform supporting NVIDIA's Global Network Infrastructure across data centers, colocation, and cloud. Responsibilities include cluster provisioning and upgrades, GitOps delivery, observability, capacity, production support for hosted network services, incident response, and driving corrective actions. Requires deep Kubernetes expertise and proficiency in at least one general-purpose language (e.g., Go or Python).

Lead and grow multi-team engineering organization responsible for NVIDIA's internal S3-compatible object storage service and data movement tooling. Own roadmap execution, service reliability (SLOs, capacity planning, incident response), CI/CD and observability practices, and mentor engineers while partnering with SRE, Platform, Networking, and Security. Requires 10+ years software engineering experience and 4+ years in engineering management, with hands-on experience in distributed/object storage and languages such as Go, C++ or Python.

NVIDIA seeks a Senior Solutions Architect to act as a technical advisor for NVIDIA Cloud Partners, owning end-to-end integration of GPU-based AI/HPC solutions. The role requires 10+ years in solution/sales/cloud engineering, hands-on experience with large-scale clusters, deep learning frameworks (PyTorch, TensorFlow), Python, model fine-tuning and deployment, and familiarity with NVIDIA software and cloud/hybrid infrastructures. Responsibilities include driving PoCs, delivering technical content, and partnering across sales, engineering, and product teams.

Design and implement storage technologies, client libraries, filesystems, and high-performance data paths for GPU-based training and inference; build observability and telemetry for storage bottlenecks and work with platform, SRE, and AI teams to validate systems in production. Requires BS or equivalent and 5+ years of software engineering experience with systems, storage, cloud-native software, and languages such as Go, Python, Rust, C/C++, or Java.

NVIDIA seeks an experienced Senior Solutions Architect to partner with cloud partners and customers to design, build, and deploy large-scale GPU-based AI/HPC infrastructure and applications. The role requires hands-on experience with deep learning, LLMs, GPU technologies, distributed/cloud architectures, and frameworks such as PyTorch and TensorFlow, and involves customer-facing technical leadership, proofs-of-concept, and production deployments. Up to 40% travel may be required.

Role involves building systems that gather, aggregate, and normalize topology data from multiple sources, contributing to the open-source Topograph project, and working with NVIDIA GPU hardware to optimize GPU-to-GPU communication and scheduling across cloud providers. Requires strong experience in Go or a systems language, Kubernetes, distributed systems, Slurm/Slinky, Linux, containers, APIs, and CI, and a minimum of 8 years' experience.

Lead performance and scalability analysis and improvements across a Kubernetes accelerated runtime stack (GPU Operator, device plugins, Network Operator, CoCo, etc.), contribute upstream architectural changes, use large-scale simulation infrastructure, and collaborate with researchers, customers, and open-source communities. Requires 5+ years experience, expertise in Kubernetes, distributed accelerator systems, performance optimization, and proficiency in Golang and/or Python.

NVIDIA seeks a Senior Storage Production Engineer to build and operate large-scale storage clusters supporting GPU cloud, HPC, and AI/ML workloads. Responsibilities include storage architecture design, monitoring and alerting, automation, capacity planning, performance optimization, data protection, and participating in on-call rotations. Requires 8+ years of relevant experience and expertise in distributed storage, storage networking protocols, Linux-based systems, programming for automation, and infrastructure-as-code and observability tools.

Work on infrastructure automation across multi-OS, multi-cloud and data center environments using tools such as Ansible, StackStorm, Kubernetes, Docker, Terraform and Jenkins. Requires 3+ years experience, strong scripting skills (Python, Bash, Groovy, Go), CI/CD experience, cloud familiarity (AWS), and experience with agentic AI tools (Codex, Claude).

Lead validation, benchmarking, profiling, and root-cause analysis for distributed training and inference across multi-GPU and multi-node environments. Work with PyTorch, NeMo/Megatron, TensorRT-LLM, NCCL/CUDA stacks and build benchmark suites, failure-attribution systems, and tuning guidance. Requires 8+ years building software infrastructure for large-scale AI/HPC, expert Python and C/C++ skills, and deep experience with NCCL, CUDA, and GPU cluster fabrics.

Role at NVIDIA to debug and enhance cloud-native stacks for multi-rack, multi-tenant AI/ML datacenters (Kubernetes + Slurm), prototype feature extensions (operators, Slurm plugins, microservices), build reproducible testbeds (Helm/Ansible/Terraform), and collaborate with CSPs and internal teams on RFCs and upstream contributions. Requires 10+ years experience in distributed systems and expertise with GPUs, networking (RDMA/RoCE), CI/CD, and observability.

NVIDIA seeks a Principal Software Engineer for DGX Cloud to build and operate production GPU clusters for AI workloads. Responsibilities include Kubernetes-based GPU resource scheduling, operator development, node health monitoring, telemetry and diagnostics ingestion, incident management, and improving reliability and performance of large-scale systems. Requires strong software engineering experience (15+ years), proficiency in Go or Python, and deep knowledge of distributed systems and cluster management.

NVIDIA seeks a Senior Network Reliability Engineer for DGX Cloud to operate and maintain large-scale on‑premises and cloud networks. Responsibilities include 24/7 shift-based incident response, alert remediation within SLAs, vendor engagement, network device upgrades and capacity augmentations, and contributing to automation and monitoring tooling. Requires deep knowledge of TCP/IP and routing/switching protocols, experience with CSPs (AWS/Azure/GCP/OCI), familiarity with vendors like Arista/Juniper/Fortinet, and 5+ years in network operations.

NVIDIA is hiring a Senior Solutions Architect to lead customer technical engagements with hyperscalers and cloud providers for AI training, inference, and large-scale AI infrastructure. Requires 8+ years experience, strong Linux and ML infrastructure knowledge, and proficiency in Python; experience with GPUs/CUDA, containerization (Docker/Kubernetes), distributed training, and frameworks like PyTorch or JAX is desirable. Posted salary ranges from USD 184,000 to 356,500 per year across levels.

NVIDIA seeks a Senior AI Infrastructure Software Engineer for the DGX Cloud team to design, build, and maintain scalable AI platforms for large-scale training, inference, fine-tuning, and agentic AI. Responsibilities include developing platform tools, optimizing AI/ML workload efficiency and resiliency, triaging failures from application to hardware, co-designing APIs, and defining reliability metrics. Requires 8+ years building software infrastructure for large-scale AI systems, experience with Kubernetes and observability stacks (ELK, Prometheus, Loki), proficiency in Golang/Python/C/C++, and experience with distributed systems and AI training/inference. Location: US (remote / Redmond, Seattle, Santa Clara).

NVIDIA seeks a Senior Network Engineer to lead architecture, design, implementation and automation of cloud network infrastructure supporting software development workflows. Requires expertise in large-scale IP networking (MP-BGP, OSPF, ISIS, EVPN/VXLAN, QoS, etc.), hands-on experience with peering and datacenter interconnects, strong automation skills (Python/Shell), and 8+ years of relevant experience. Role listed as US (remote) with specified salary ranges.

Work with customers and internal teams to build, deploy, and optimize large-scale AI training and inference infrastructure using NVIDIA GPUs and networking. Role requires hands-on experience with NVIDIA system software (CUDA, NCCL, drivers), Linux, cluster and node performance analysis, and high-performance networking (e.g., RDMA). Base salary range listed: 135,000 CAD - 220,000 CAD (level-dependent).

NVIDIA seeks a Senior Solutions Architect for the IPP Cloud Infrastructure team to design, implement and support end-to-end CI/CD and private GPU cloud services used by internal development teams. The role involves optimizing performance and cost of AI development/test systems, onboarding customers onto private cloud, leading software projects, and using technologies such as OpenStack, Kubernetes, Docker, VMs, Java, Python, SQL/NoSQL databases, and various DevOps tools. Requires BS in EE/CS or equivalent and 12+ years of systems software development experience (including at least 1 year with AI).

Join NVIDIA's Partner Network as a Senior Solutions Architect to guide partners in adopting end-to-end AI and HPC solutions using NVIDIA compute, networking, and software stacks. The role requires 12+ years of experience with cluster management and tools such as Docker, Slurm, Kubernetes, and Ansible, plus hands-on experience with networking, storage, and GPU-based workloads.

NVIDIA seeks a Senior AI Compute Engineer to join Infrastructure Specialists, working with customers and internal teams to plan, deploy, and validate Linux-based AI Compute/HPC systems. Requires 8+ years of deployment/support experience, strong Linux administration, scripting (Bash/Python/Ansible), cluster provisioning, schedulers (SLURM/LSF/UGE), benchmarking (HPL/NCCL/MLPerf), Kubernetes, and up to 20% US travel.