NVIDIA seeks a Senior Cloud Infrastructure and DevOps Solutions Architect to work with Neo Clouds and customers on deploying and operating large-scale AI/HPC systems. Responsibilities include maintaining computational infrastructure, optimizing Kubernetes-based container platforms, automation (IaC), monitoring/observability, storage and networking, and delivering runbooks and customer-facing guidance. Requires 5+ years managing scalable cloud/HPC environments and hands-on experience with Kubernetes, Linux, storage solutions, Python/Bash, and infrastructure automation tools.

Role requires designing, deploying, and operating large-scale AI/HPC networking and infrastructure (Neo Clouds) with emphasis on performance, monitoring, automation, and customer engagement. Requires 5+ years in networking, expertise in EVPN/BGP/OSPF/VXLAN, hands-on experience with Cumulus/SONiC/IOS/Junos/EOS, and automation using Ansible/Salt/Python. Must have strong English communication skills.

Role focused on building and operating core attestation cloud services that validate NVIDIA platform integrity. Responsibilities include designing APIs and integrations, improving reliability and operational maturity (SLOs/SLIs, alerting, runbooks), implementing appraisal and verification workflows, and mentoring engineers. Requires BS/MS or equivalent, 12+ years experience in large-scale distributed systems/cloud services with at least 3 years in security/attestation, proficiency in Go or Java, and hands-on experience with Kubernetes, major cloud providers, CI/CD, and observability tools.

Design, build, and maintain AI infrastructure software and tools for large-scale pre-training, post-training, and inference. Responsibilities include improving efficiency and resiliency, co-designing APIs with resiliency stacks, defining reliability metrics, and performing root-cause analysis from application to hardware. Requires 8+ years experience, proficiency in Python and C/C++, experience with observability platforms (ELK, Prometheus, Loki), distributed systems, AI training/inference infrastructure and strong debugging skills.

NVIDIA is hiring a Senior Software Engineer for the Developer Tools team to design and implement features for collecting, analyzing, and visualizing performance profiling data in cloud and cluster environments (Nsight family). The role involves systems design, frontend and backend development, cross-team collaboration, and user interaction. Requires 5 years of related software experience, a BS/MS (or equivalent), fluency in C++, Rust, or Go, and experience with Kubernetes and distributed environments. Preferred experience includes GPUs/CUDA, HPC, microservices, GraphQL, Datadog, ClickHouse, and Grafana. Salary ranges provided (USD, annual).

NVIDIA seeks a Senior Cloud Infrastructure/DevOps Solutions Architect to manage and automate large-scale HPC/AI clusters, design and deploy networking and storage solutions, develop CI/CD and automation tooling, and support customers (including Japanese-speaking customers) in troubleshooting and POCs. Requires 8+ years' experience in networking, data center architecture, Kubernetes, HPC job schedulers, Linux/Windows systems, storage technologies, Python, and automation tools.

Work involves developing infrastructure and tools to automate complex software processes, implementing benchmarking and profiling frameworks, and applying deep knowledge of OS internals, device drivers, memory, storage, networking, and high-speed interconnects. Requires 5+ years industry experience, proficiency in C++/Python/Go, experience with distributed systems, CI/CD, containerization (Docker, Kubernetes), and performance/debugging of compute workloads.

Join NVIDIA's NGC organization to design and build software for managing multi-tenant cloud infrastructure. The role involves building network and systems automation, developing maintainable APIs, working with internal stakeholders, and participating in open-source communities. Requires 8+ years experience in distributed systems and proficiency in systems languages such as C/C++, Go, or Rust, plus experience with persistence, secure communication protocols, and networking concepts.

NVIDIA seeks a Senior Architect to guide software design, architecture, and implementation of cost, power, and performance modeling for datacenter-scale GPU-accelerated platforms. Requires 8+ years in systems architecture and modeling, strong Python skills, and experience with datacenter/server architecture, parallel computing, data analysis, and DevOps practices.

The role develops scalable cloud-native services and APIs to support exabyte-scale, high-performance GPU training and inference workflows, working closely with product, platform, SRE, and partner teams. Requires strong foundation in distributed systems, algorithms, data structures, and experience operating backend or cloud-native services (Kubernetes and cloud providers such as AWS/GCP/Azure) using languages like Go, Python, Rust, C/C++, or Java.

Lead performance benchmarking and optimization for NVIDIA data center products, characterizing AI/HPC workloads at scale, building automation and monitoring tools, identifying bottlenecks across compute/memory/network/storage, and driving tuning and architectural recommendations. Requires advanced degree or equivalent, 8+ years in performance engineering or system architecture, and skills in profiling tools, GPU computing (CUDA), HPC networking, and Python/C++/shell scripting.