NVIDIA is hiring a Senior Network Deployment Engineer to manage end-to-end provisioning of network services (wavelengths, Ethernet, IP transit, dark fiber, subsea IRU), source and procure PoP space/power and coordinate vendor and data center relationships. Requires ~8+ years relevant experience, knowledge of transport technologies (DWDM, Ethernet, OTN, MPLS), datacenter rack/power infrastructure, familiarity with LOA/CFA and cross-connects, and experience with global sourcing, procurement and contract negotiations.

NVIDIA seeks a Senior Manager to direct HPC engineering functions, overseeing design, deployment, and validation of AI/HPC systems (InfiniBand/Ethernet, storage, cluster software) and to lead and develop a team. Requires 10+ years in IT/HPC, 3+ years management, and hands-on experience with HPC interconnects, cluster tooling, GPUs, scripting, and Linux/Unix administration.

NVIDIA is hiring a Data Center Infrastructure Specialist to design and implement data center infrastructure solutions, perform datacenter planning (floor plans, rack elevations, cable deployment, point-to-point design), validate work instructions, document processes, and oversee on-site vendor work. Requires 5+ years' experience in data center infrastructure or field service, relevant degree or equivalent, strong knowledge of servers, network equipment, networking, storage, and virtualization. Travel is required; network certifications such as CCIE and experience with InfiniBand are advantageous.

NVIDIA seeks a Senior Staff SRE to lead transformation of compute core architecture and build global-scale infrastructure services (DNS, NTP/PTP, DHCP, LDAP) with emphasis on automation, monitoring, high availability, capacity planning, and lifecycle management. The role requires 12+ years of compute/platform engineering experience, proficiency with Linux and kernel internals, programming in Go and/or Python, Terraform and configuration management, and experience with containers, distributed systems, and networking (VLAN/VxLAN/SDN/BGP/Anycast).

NVIDIA seeks a Senior High-Performance Storage Engineer to join the Infrastructure Specialists team to design, deploy, manage and validate large-scale storage infrastructures for AI Factory environments. Requires a four-year degree or equivalent experience, 5+ years supporting hardware/software storage products, expertise with SDS, NFS, S3, NVMeoF, Lustre, GPFS, RDMA/RoCEv2/InfiniBand, storage benchmarking tools, Linux administration, networking and scripting (Bash/Python/Ansible). Role involves customer interaction, documentation, automation and up to ~20% travel within the region.

NVIDIA is hiring a High-Performance Storage Architect to deploy, manage, and validate high-performance storage in Linux-based AI Factory environments. Requires 5+ years supporting storage hardware/software, familiarity with SDS, NFS, S3, NVMeoF, Lustre, GPFS, RDMA/InfiniBand, storage benchmarking tools (FIO, IO500, IOR, HPL, NCCL, MLPerf), strong Linux administration, networking and scripting (Bash, Python, Ansible). Travel to customer sites up to 20%.

NVIDIA seeks a Senior High-Performance Storage Architect to deploy, manage, and validate HPC storage infrastructures in AI-focused Linux environments. The role requires 8+ years of storage deployment and validation experience, expertise with storage technologies (SDS, NFS, S3, NVMeoF, Lustre, GPFS, RMDA/RoCEv2/InfiniBand), benchmarking tools, Linux administration, scripting (Bash/Python/Ansible), and up to 20% regional travel to customer sites.

Role involves designing, deploying and supporting large-scale AI/HPC networking (Ethernet/InfiniBand/RDMA), including performance benchmarking, monitoring, troubleshooting, automation and CI/CD for network operations. Requires hands-on experience with switch/router platforms (Cumulus, SONiC, IOS, Junos, EOS), RDMA optimizations, automation tools (Ansible, Salt, Python) and at least 5 years of relevant networking experience. Strong English communication skills are required.

NVIDIA seeks a Senior AI Tools Engineer (SRE operations) to design, build, and deploy AI/ML tools and LLM-based systems that analyze production data (metrics, logs, signals) to automate root cause analysis and predict operational trends for GeForce NOW. Requires 5+ years experience, strong Python skills, practical experience with AI tools, Kubernetes, AWS, data pipelines, and monitoring tools such as Grafana. Base salary range listed: 144,000–230,000 USD per year.

Join a team building globally distributed auth and storage services based on microservice architecture. Responsibilities include designing distributed backend architecture, developing and maintaining authentication/authorization microservices (OCaml/Rust), improving test coverage, performing regression/stress/performance testing, debugging on Linux, and providing API/client technical support. Requires 5+ years' relevant experience, strong Linux system programming and networking knowledge, familiarity with HTTP-based RPC (REST, Twirp, gRPC), Kubernetes deployment, and excellent technical English communication.

NVIDIA seeks a Technical Platform Operations Lead to own end-to-end post-launch operations for Sales AI applications. Responsibilities include incident and problem management, SLIs/SLOs, observability, release readiness, governance for security and compliance, automation, and driving adoption using usage analytics. Requires 8+ years of relevant technical operations or platform experience.

Join NVIDIA's DGX Cloud / Fleet Intelligence team to build in-band agents and out-of-band collectors that gather GPU health, host and BMC telemetry, inventory, attestation evidence, and diagnostics. Work includes Go-based Linux services and agents, Rust for collectors (optional), Kubernetes daemonsets, packaging (.deb/.rpm, systemd, containers), Prometheus/OTLP exports, Redfish/BMC integration, and contributions to open source. Base salary range reported: 152,000–287,500 USD/year depending on level and location.

Hands-on senior engineering role working with NVIDIA Cloud Partners to build Day 2 operational capabilities for large-scale GPU-accelerated clusters. Responsibilities include observability, continuous infrastructure validation, automated detection and remediation, lifecycle and fleet administration (drivers/firmware, OS patching, Kubernetes node maintenance), and translating NVIDIA reference architectures into repeatable production operating practices. Requires 8+ years experience in infrastructure/SRE/DevOps, strong Linux and Kubernetes expertise, production observability, automation skills (Python/Go/shell), and networking/storage troubleshooting.

Design, build, and operate production-grade security services and a security control plane for DGX Cloud. Responsibilities include transforming third-party/open-source tools into API-driven components, developing Infrastructure as Code and Policy as Code, building automated guardrails and runtime security policies, secrets management, threat modeling of distributed systems, and full SDLC ownership of security tooling. Role typically requires 8+ years of experience with cloud-native architectures, Kubernetes, Linux internals (eBPF/AppArmor/SELinux), and integrating security products such as AuthN/AuthZ, Vault, and IDS.

NVIDIA seeks a hands-on Solutions Architect to work with partner engineers on Day 2 operations for large-scale GPU and AI clouds—improving reliability, performance, and economics and converting validated fixes into repeatable ecosystem capabilities. Requires 12+ years in production infrastructure/cloud engineering/SRE or 5+ years of exceptional specialist GPU/AI infrastructure experience. Base salary range: 224,000–356,500 USD per year.

NVIDIA seeks an experienced HPC-AI Cluster Engineer to architect, deploy, and operate large-scale AI and HPC clusters. Responsibilities include cluster design and maintenance, job scheduling/orchestration (e.g., Slurm, Kubernetes), automation and CI/CD, monitoring/logging/alerting, troubleshooting from bare metal to application level, and supporting R&D/POCs. Requires a degree or equivalent and 8+ years of relevant experience with GPUs/CPUs, networking, storage (Lustre/GPFS/Weka.io), Linux/Windows, scripting (Python/bash), automation tools, and virtualization; familiarity with cloud platforms and GPU-focused hardware/software is desired.

NVIDIA seeks a Senior MLOps Engineer to collaborate with strategic customers to implement and improve large-scale AI workloads. Responsibilities include building and deploying custom AI solutions on NeoCloud and NVIDIA Cloud Partners, profiling and tuning training and inference workloads, developing MLOps pipelines and open-source tools, and acting as a technical lead for customer engagements. Requires a BS/MS/PhD or equivalent and 8+ years of relevant technical experience; strong systems, programming (bash, Python, C++/Go/Rust), Kubernetes, and deep learning framework skills are expected.

NVIDIA seeks a Senior Infrastructure Solutions Architect to provide onsite technical leadership for large-scale AI datacenter deployments, troubleshoot hardware/network/storage issues, and support cloud partner (NCP) integration. Requires 5+ years in system design or technical customer support, deep datacenter hardware and networking knowledge, and experience with automation (Bash, Ansible, Python) and GPU/DPU technologies.

Join NVIDIA's DGX Cloud team to build, implement and support operational and reliability aspects of large-scale Kubernetes clusters focused on performance at scale. The role requires defining SLOs/SLIs, operating GPU workloads across AWS/GCP/Azure/OCI and private clouds, building observability stacks, automating infrastructure, participating in on-call rotation, and leading incident triage; 10+ years of production operations experience and expertise in Kubernetes, Linux, cloud platforms, and SRE practices are required.

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.