NVIDIA seeks a Senior Security Architect (based in Germany, with remote options) to research, design, develop and implement attestation and confidential compute capabilities for data center network devices. The role involves collaborating across internal teams, external partners and customers, defining architectures and building proofs-of-concept. Required: BSc/MSc/PhD or equivalent, 8+ years relevant experience, familiarity with protocols such as DICE, SPDM, TPM, CoRIM, TEEs (e.g., ARM CCA), and strong programming/debugging skills in Python and C/C++.

NVIDIA seeks a Senior Solutions Architect to advise customers and build proof-of-concepts for Generative AI and LLM inference. The role requires deep experience with DL frameworks (PyTorch, TensorFlow), GPU technologies and orchestration (Kubernetes, MIG), containerization, MLOps, and performance optimization. Frequent collaboration with internal teams and customers and occasional travel (~20%) are expected.

Lead strategic partner engagements to deliver enterprise-grade agentic AI systems (multi-agent workflows, RAG, tool use, guardrails, policy enforcement) from discovery through PoC and production. Architect secure and confidential AI deployments using NVIDIA Confidential Computing, GPU attestation, KMS integration, and air-gapped patterns. Requires 8+ years experience, strong Python/Linux skills, hands-on experience with LLMs/generative AI and frameworks like PyTorch or TensorFlow, and depth in AI/LLM security, confidential computing, or related areas.

NVIDIA seeks a Senior Solutions Architect to act as a technical advisor and drive end-to-end integration of GPU hardware, software, models, and applications for partners and strategic customers. Requires 10+ years in solution/sales/cloud engineering, hands-on experience with large-scale clusters and distributed cloud architectures, strong Python and deep learning framework skills (PyTorch, TensorFlow), and practical GPU/model deployment experience.

NVIDIA is hiring a Solutions Architect to work with Cloud Partners and customers to integrate and deploy large-scale GPU-based AI and HPC infrastructure. Responsibilities include partnering with sales, leading technical engagements across the customer lifecycle, building PoCs, delivering technical content (presentations/workshops), and analyzing performance and scaling. Required: BS/MS/PhD or equivalent, 7+ years in solution/sales/cloud engineering, experience with large-scale cluster environments and data center design. Practical familiarity with NVIDIA hardware and systems (NCCL, DCGM, UFM, Mission Control, Base Command Manager) and cluster tools (SLURM, Kubernetes) is highlighted.

NVIDIA seeks a Senior Solutions Architect to work with global systems integrator and AI consulting partners to design pilots, demos and MVPs using Agentic AI and NVIDIA platform tools (NVIDIA Agent Toolkit, Nemotron, NIM). The role requires deep expertise in generative AI, LLMs, RAG pipelines, LangChain/LangGraph, GPU parallel computing and experience engaging technical and executive stakeholders. Location coverage includes Germany, Netherlands, France and the UK with remote work mentioned.

NVIDIA seeks a Senior Solutions Architect to advise and collaborate with academic and research partners (Greater London area, UK) on large language model workflows across multi-node systems. Responsibilities include integrating NVIDIA software and hardware (GPUs, CUDA, Triton, NeMo, etc.) into research projects, delivering trainings and workshops, tracking research trends, and supporting publications and presentations. Role requires a graduate STEM degree, 5+ years working with LLM lifecycles, strong communication skills, Python proficiency, and English fluency; travel ~30%.

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.

NVIDIA is hiring a Senior Software and System Architect in its Networking Software Architecture group to lead architecture for cloud-networking and security solutions, design system architecture for DPUs & NICs, build end-to-end solutions from application to hardware, evaluate new technologies and develop prototypes. Requirements include a B.Sc/M.Sc/PhD (or equivalent), 5+ years as a Software or Systems Architect with strong software development background, deep experience with C and Python, hands-on Linux development, cloud-networking knowledge, and familiarity with networking protocols and topologies. Preferred experience: NICs/DPUs/routers/switches/firewalls, OS drivers, data center technologies, DPDK, OVS/OVN, Docker/Containers and Kubernetes. Salary ranges provided (USD, annual).

Role involves working with researchers and ML engineers to design, prototype, and scale end-to-end training (pre-training, fine-tuning, RL) and data pipelines for robotics foundation models. Requires 5+ years experience in deep learning/distributed training, expertise in frameworks like PyTorch/JAX/NeMo, and familiarity with profiling and optimization. Location indicated as US (Santa Clara) with remote mentioned; listed salary range 152,000–287,500 USD/year depending on level.

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 WWFO is hiring a Solutions Architect to work with hyperscaler partners (primary focus GCP) to develop and demonstrate GPU-accelerated GenAI and ML solutions, optimize training and inference pipelines, run proofs-of-concept, and engage with customers, engineering, product and sales teams. Requires 5+ years in Solutions Architecture/Engineering in AI-related fields and strong English communication.

Lead customer integration and adoption across NVIDIA software and platforms (NVIDIA AI Enterprise, CUDA-X, DGX OS, NeMo, Omniverse, vGPU, etc.). Conduct needs assessments, define success metrics tied to business outcomes, coordinate cross-functional teams to remove blockers, run customer health reviews and executive readouts, and capture feedback to improve enablement. Requires a technical background and at least 8 years' experience in customer success, technical account management, solutions architecture, professional services, or related enterprise software roles.

Owning the EMEA go-to-market motion for NVIDIA's Agentic AI Platform, this role drives adoption across enterprise, ISV, cloud providers, public sector and regulated environments. The position requires deep technical and commercial experience with open/sovereign models, NeMo/Nemotron/NIM and secure AI deployment patterns, and works cross-functionally to create field playbooks, reference architectures, and enablement.

NVIDIA seeks a Senior Account Manager to lead the EMEA go-to-market for its Agentic AI Platform, helping customers and partners adopt, deploy, secure, and scale agentic AI. The role requires 12+ years' experience in software GTM, developer relations, technical partnerships, product, solution architecture, cybersecurity, or AI platform roles and hands-on knowledge of LLMs, open models, confidential computing, and secure deployment patterns.

Lead architecture and delivery of agentic AI solutions for NVIDIA Marketing (personalization, recommendations, content discovery, copilots, automation). Responsibilities include translating business needs into agent architectures, building platform capabilities (agent registries, tool catalogs, retrieval/memory, evaluation, observability), prototyping, and guiding production practices. Requires 12+ years in software/AI/solutions architecture, experience with LLMs, RAG, recommendation systems, conversational AI, Python, Kubernetes/Docker, CI/CD, observability, and related production infrastructure. Base salary range stated: 224,000 USD - 356,500 USD.

NVIDIA seeks a Senior Solution Architect with 10+ years of software engineering experience to lead design and implementation of full-stack solutions for Sales AI. Responsibilities include architecting front-end and back-end systems, APIs, data services, cloud infrastructure, and integrating generative AI models, retrieval systems, and agentic workflows into production applications while ensuring security, observability, scalability, and production readiness.

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.

Work with inference partners to build and operate high-performance inference stacks using NVIDIA technologies (Dynamo, Triton, TensorRT-LLM, vLLM, SGLang). Requires 6+ years in solutions architecture (including 2+ years with AI workloads on Kubernetes), experience with disaggregated serving, model/kernel optimization, quantization, speculative decoding, and agent/full-stack inference design. Role is remote within the US with a Santa Clara location noted; BS in CS/Engineering or equivalent experience is requested.