Lead end-to-end project delivery for enterprise data center environments, owning lifecycle from solution design through deployment, stabilization, and production handover. Requires 5+ years in project/service delivery and field implementation for enterprise hardware/software, strong data center infrastructure knowledge, customer-facing skills, and English proficiency.

Own an internal product that measures, tracks, and reports open-source readiness across the DSX OS portfolio. Responsibilities include running the platform in production, automating scoring and integrations, building self-serve onboarding feedback, capturing engineering feedback, and automating readiness tracking and reporting. Requires 8+ years of relevant experience and hands-on experience with production reliability, automation, and agentic coding tools.

NVIDIA is hiring a Solutions Architect (Data Science) based in Australia (remote) to engage with enterprise customers and partners, design scalable GenAI architectures, run proofs-of-concept and demos, and enable adoption of NVIDIA platforms (including Nemo/NIMs). The role requires deep expertise in generative AI, LLMs, RAG, GPU/parallel computing, ML/DL frameworks, Kubernetes/container orchestration, Python, and presales/customer-facing experience (5+ years). Responsibilities include technical leadership, partner enablement, documentation/training, and cross-functional collaboration with APAC/HQ teams.

Lead and manage OEM technical teams to prioritize and execute NPI and end-to-end hardware/software solution development. Coordinate technical engagements and large-scale deployments, resolve partner/customer technical issues, influence OEM strategy and roadmaps, and participate in recruiting and hiring for the team. Requires 10+ years relevant experience and 5+ years managing a Solutions Architecture team.

NVIDIA is hiring a Solutions Architect (AI Factory) to lead technical discovery, design end-to-end AI Factory solutions, run proofs-of-concept and workshops, and partner with sales and implementation teams. The role requires 5+ years in senior technical roles with enterprise-scale AI/HPC and datacenter experience, deep technical skills across networking, storage, cluster management, and GPU-accelerated computing, and language skills in Armenian, Russian, and English.

This Senior Solutions Architect role drives technical engagements with VMware and partners to map customer workloads to NVIDIA hardware and software (vGPU, MIG, passthrough), co-design scalable architectures, validate and deploy GPU-accelerated visualization, compute, and AI solutions, and influence product and engineering priorities. Requires 8+ years of professional experience and hands-on virtualization/VDI experience; position is listed for the US with remote work indicated.

NVIDIA is hiring a Senior Solutions Architect for the AI Factory to design, build and maintain large-scale AI/HPC solutions. The role involves technical discovery, end-to-end architecture (compute, networking, storage, cluster management, orchestration), running PoCs and workshops, and working with sales and implementation teams. Relevant experience includes enterprise AI/HPC infrastructure, GPU-accelerated computing, datacenter and MEP systems; travel across Africa is expected.

NVIDIA is hiring a Solutions Architect for its AI Factory practice (covering North Africa) to design, build, and maintain large-scale AI/HPC solutions. Requires 5+ years in senior technical roles, experience with datacenter and GPU-accelerated infrastructure, leading technical discovery, proofs-of-concept, and customer workshops. Role may be based in the UAE (Dubai) and includes up to ~20% travel across North Africa; Arabic and French fluency are listed as distinguishing skills.

Hiring manager to coordinate and lead OEM technical teams, plan and prioritize NPI and end-to-end hardware/software solutions, resolve partner issues, coordinate major deployments, recruit technical talent, and influence OEM strategy and roadmaps. Requires 8+ years of relevant experience with at least 4 years leading teams and familiarity with GPU, networking (NICs, DPUs, switches), and data center software stacks.

Responsible for serving as the senior technical point of contact for OEM Federal deployments of NVIDIA GPU-accelerated platforms (PCIe, HGX, MGX), owning issues end-to-end, performing failure analysis/RMA, and navigating Federal security frameworks (FedRAMP, IL5/IL6, SCIF). Requires 5+ years engineering experience with multi-GPU platforms, strong system software and Linux expertise, and an active U.S. Government TS/SCI clearance; role requires up to 35% travel.

Lead developer relations and technical partnerships for cloud provider AI Factory infrastructure, accelerating adoption of NVIDIA software stacks by integrating SDKs, tools, and blueprints into partner platforms. Requires deep technical expertise in cloud hosting software (Kubernetes, container runtimes, hypervisors), hands-on experience with AI/GPUs, and at least 8 years' professional experience with 5+ years in cloud hosting or AI Factory infrastructure.

NVIDIA seeks an experienced quantum computing expert to lead developer relations and strategic collaborations with QPU-builder partners and U.S. national laboratories. Responsibilities include defining joint multi-year roadmaps, driving co-designed QPU-GPU systems and reference architectures, running workshops and trainings, and representing NVIDIA at conferences. Requires 14+ years in quantum information science, 5+ years in industry or national labs, U.S. citizenship, and frequent travel (~40%).

NVIDIA is hiring a Principal Software Architect, Networking to design next-generation scale-up fabric for AI data-centers. The role emphasizes collective communication, vertical co-development of AI networks with hardware/software teams, scalability, reliability, and support for large-model training. Requires 6+ years in software architecture and networking and strong AI research expertise; advanced degree and large-scale data-center experience are preferred.

Technical and strategic Developer Relations / Account role focused on engaging a small set of strategic software companies to integrate NVIDIA platforms (open models, SDKs, libraries, GPU-accelerated computing) into their products. Responsibilities include technical advisory, integration support, developer enablement, ecosystem mapping, and collaboration across sales, product, and engineering. Minimum 8+ years' technology experience with deep technical background in AI/ML and product integrations. Salary range provided (EUR 101,250–231,400 depending on level).

Hands-on role working with robotics partners to adopt and extend NVIDIA simulation technologies (e.g., Isaac Sim, MuJoCo, Gazebo, Drake). Responsibilities include building/optimizing workflows (rigging, physics, rendering, sensor simulation, synthetic data), diagnosing performance and integration issues, leading technical evaluations and proofs of concept, and collaborating across engineering, product, and research teams. Requires 5+ years of robotics simulation experience and proficiency in Python or C++.

NVIDIA seeks a Senior AI Infrastructure Solutions Architect for its Public Sector team to lead design-to-deployment of large-scale GPU data center infrastructure, guide network and compute/storage architecture, debug cluster performance, collaborate with product and engineering, and engage directly with customers (requires U.S. citizenship; up to 20% travel).

NVIDIA is hiring a Technical Engagement Lead to build trusted relationships with frontier AI research labs in EMEA, drive platform integration (hardware, systems, libraries), influence product roadmaps, and define collaboration strategies. Requires a B.S. or equivalent (advanced degree preferred), 8+ years' experience in AI research/infrastructure/distributed systems/GPU computing, practical knowledge of CUDA ecosystem and PyTorch or JAX, and experience with large GPU clusters, networking, storage, orchestration, and performance optimization. Location listed as France (remote).

NVIDIA seeks a Solutions Architect to work with Cloud Service Provider (Hyperscaler) partners on Physical AI and AI/ML solutions. Responsibilities include developing and demonstrating Physical AI solutions, optimizing GPU-accelerated training and inference pipelines, running proofs-of-concept, and engaging with customers, partners and internal teams. Requires MS/PhD or equivalent, 5+ years in AI-related solutions architecture/engineering, strong communication skills, and expertise with Hyperscaler infrastructure and NVIDIA platforms.

NVIDIA seeks a Senior High-Performance Storage Architect to deploy, manage, and validate storage infrastructure (SDS, NFS, S3, NVMeoF, Lustre, GPFS, etc.) in Linux-based AI environments. The role requires 8+ years of storage deployment/support experience, proficiency with benchmarking tools and scripting (Bash, Python, Ansible), strong networking and Linux administration skills, and up to 20% travel within the region.

NVIDIA is hiring a Senior Solutions Architect for InfiniBand and Ethernet networking to design, deploy, and support large-scale AI/HPC clusters. The role requires 5+ years' experience in networking (Ethernet/InfiniBand/RDMA), hands-on experience with switch/router platforms (Cumulus, SONiC, IOS, Junos, EOS), RDMA performance benchmarking and optimization, automation using Ansible/Salt/Python, and strong English communication skills.