Role focuses on technical engagement with NVIDIA customers to design, validate, and deploy scalable AI Factory architectures. The position supports sales account managers, leads hands-on technical work, and partners with engineering and product teams. Qualifications include a Bachelor's/Master's or equivalent, 8+ years professional experience with 3–5+ years in datacenter design, deep AI/HPC expertise, and experience with NVIDIA systems (DGX, NVL72, MGX, HGX). Expected base salary range: 184,000–287,500 USD per year. Location: US (Santa Clara) / Remote.

This senior role drives technical sales alignment and go-to-market execution for NVIDIA AI Factory / accelerated datacenter solutions. Responsibilities include cultivating customer relationships, coordinating with account teams, solution architects, partners and ISVs, influencing product roadmap through technical engagements, and contributing to revenue growth. Requires substantial experience in HPC/AI, GPU acceleration, networking, containerization/orchestration, and technical solution selling (12+ years total experience).

Lead technical role to research, design, and implement Trusted Execution Environment architectures and secure platform infrastructure for NICs and DPUs. Requires hands-on work with Trusted Execution Technologies (e.g., AMD SEV, Intel TDX, Intel SGX), threat modeling, microarchitectural definition, attestation methods, distributed key management (including CJDNS), and low-level programming (Verilog, Python/Perl, ARM assembly, C/C++).

NVIDIA is hiring an experienced Field Application Engineer (15+ years) to be the primary technical interface for customers across EMEA, supporting integration of GPUs, ConnectX NICs, BlueField DPUs, and related firmware/software. Responsibilities include hardware design‑in and bring‑up, issue triage and escalation, firmware and software stack support, cross-company coordination, OEM portfolio enablement, and occasional onsite travel; strong Linux, networking, and hardware debug skills required.

Drive deployment and integration of NVIDIA AI networking platforms (Spectrum-X, BlueField DPUs, InfiniBand/RoCE) at customer data centers. Requires 6+ years of hands-on data center/network engineering experience, deep protocol knowledge (BGP, OSPF, L2/L3), cluster bring-up and troubleshooting, and experience with GPUs, NICs, Linux, and automation.

Role to drive technical engagement with T-Mobile/AT&T/Verizon accounts, co-design scalable architectures, validate and support solutions, and enable platform adoption. Requires 8+ years professional experience (3–5+ years in telecommunications), expertise in telecom stacks, wireless systems or DSP, and hands‑on familiarity with containers, Kubernetes, AI inference, and preferably CUDA/GPU. Location: US (remote options); salary ranges provided (USD 184,000–356,500/year).

Hiring a Senior Solutions Architect (based in Australia, remote) to map large-scale customer workloads to NVIDIA’s software and hardware stack, co-design scalable architectures, run PoCs and demos, write code for data pipelines and model training, and drive technical enablement and adoption. Requires 5+ years professional experience, deep expertise in generative AI/LLMs and integrations, strong presales and partnership skills, and the ability to present to technical and C-level audiences.

NVIDIA seeks a Senior Cloud Infrastructure Solutions Architect to work with Neo Clouds and customers/partners across ANZ on large-scale AI/HPC systems. Responsibilities include operating and optimizing Kubernetes-based container platforms, automation and IaC, monitoring/observability, storage and networking integration, customer technical engagements and producing operational documentation. Candidates should have 5+ years' experience managing scalable cloud/HPC environments and strong skills in Linux, Kubernetes, automation (Python/Bash, Ansible, Terraform), and HPC/GPU technologies.

NVIDIA seeks a Senior Cloud Infrastructure Solutions Architect to design and co-design large-scale Neo Cloud deployments for ANZ, working with partners, OEMs and Neo Clouds to map complex workloads to NVIDIA DSX-based architectures. Requires a Bachelor's/Master's (or equivalent), 5+ years professional experience (including 3+ years hands-on design/deployment of scale-out, data-center scale systems) and expertise in HPC/AI technologies, GPUs, high-speed interconnects (InfiniBand/RoCE), cluster storage, networking and CI/CD/automation.

Role to lead architecture for cloud-networking (orchestration, provisioning, security) and to design system architectures for DPU and NIC technologies. Responsibilities include building end-to-end solutions from application to hardware, writing architecture specifications, evaluating technologies and developing POC prototypes, and collaborating with global SW/HW teams and customers. Required: B.Sc/M.Sc/PhD in a relevant field, 4+ years experience as SW/System architect and 4+ years as SW developer, strong C and Python skills, hands-on Linux development, Docker/containers, cloud and data-center networking, and broad networking protocol knowledge.

NVIDIA seeks a Senior Solutions Architect focused on energy-sector accounts to provide technical advisory and hands-on guidance for designing, deploying, validating, and operating accelerated AI and HPC infrastructure (large-scale GPU clusters, AI factories, edge deployments). Role requires deep experience in GPU systems, cluster orchestration, networking (InfiniBand/RDMA/Ethernet), distributed training and inference, benchmarking, and customer-facing technical leadership. Travel up to 20%.

NVIDIA is hiring a Senior Software & System Architect to lead architecture for cloud-networking and design system architectures for DPUs and NICs. The role includes research, prototyping POCs, writing architecture specifications, and collaborating with global SW/HW teams and customers on orchestration, provisioning, security and SDN solutions.

Work on security architecture for NVIDIA Networking firmware—trust boundaries, privilege separation, secure boot, secure update, key storage, and device lifecycle features. Responsibilities include threat modeling, analyzing hardware/firmware interactions, defining mitigations and requirements, and guiding engineering teams. Requires 8+ years in product/firmware security; locations include US (multiple states) and remote; posted salary ranges provided.

Role involves designing and validating scalable on-premises AI architectures, partnering with OEMs and integration partners, driving platform adoption, troubleshooting complex systems, and influencing product and engineering priorities. Requires hands-on experience with compute, networking, storage, system firmware, cluster management, and workload orchestration.

NVIDIA seeks a Senior Architect for Data Processing Systems in Analytics & Data Intelligence to drive hardware-software co-design, full-stack performance optimization, benchmarking, and workload analysis across CPU/GPU platforms. Requires MS/PhD or equivalent and 8+ years in distributed data platforms, systems engineering, performance architecture, or related areas.

NVIDIA seeks a Senior Solutions Architect to engage with customers and partners on GPU, networking, HPC and AI workloads. Requires 8+ years experience in data science or software development, expertise with GPUs/parallel computing, modern deployment practices (Slurm, Docker/Containers, Kubernetes), and experience with generative/agentic AI. U.S. citizenship and a security clearance are required; some travel is required. Salary ranges provided for levels 4 and 5.

NVIDIA is hiring a Principal Hardware Security Architect to develop and guide platform security roadmaps for next-generation SoCs and GPUs. The role emphasizes threat modeling for advanced packaging and silicon photonics, mitigations for physical attacks (fault injection, side-channels), AI-accelerated vulnerability discovery, and standards compliance (e.g., OCP S.A.F.E.). Requires MS or PhD (or equivalent), and 15+ years of relevant experience. The posting lists an expected base salary range of 272,000 USD–431,250 USD and accepts applications through at least November 3, 2026.

NVIDIA seeks an experienced reliability engineer to own Day-2 production stability for EMEA NVIDIA Cloud Partner fleets: define and measure SLOs, automate detection-to-remediation workflows, run preventive firmware and field-notice rollouts, lead incident response, and manage Kubernetes/HPC node lifecycle on heterogeneous stacks. Requires 8+ years in SRE or large-scale infrastructure operations and hands-on experience with GPU/HPC clusters, observability tooling, automation (Python/Bash, Ansible/Terraform/GitOps) and Linux/storage/networking fundamentals.

Senior MEP/Datacenter Infrastructure Engineer responsible for end-to-end planning and deployment of AI/HPC data centers (concept, design, construction, commissioning, go-live). Must have strong experience in power distribution, liquid/air cooling, rack integration, telemetry/controls, reviewing customer designs, pre-deployment audits, and coordinating contractors/OEMs; based in Australia with travel to customer and partner sites as required.

NVIDIA seeks a Senior Solutions Architect to map large-scale customer workloads to NVIDIA hardware and software, co-design scalable architectures with OEMs and deployment partners, lead technical engagements and deployment validation, and drive platform adoption. Requires a Bachelor's/Master's or equivalent, 8+ years professional experience (including 3–5+ years hands-on AI infrastructure or data center deployment), deep expertise in HPC/AI/GPU systems, and up to 50% travel.