Join NVIDIA's AI Infrastructure team to design full-stack solutions—hardware architecture, orchestration, and application tuning—for AI inference and physical AI workflows. The role involves customer-facing technical sales, delivering hybrid cloud and on-prem architectures, performance optimization, and feedback to product and engineering teams. Requires a bachelor's (or equivalent), 3+ years' relevant experience, and hands-on knowledge of Linux, Kubernetes, and cloud-native tooling.

Lead development of multi-agent, LLM-based enterprise agents and high-performance RAG pipelines; optimize GPU-accelerated inference; build PoCs and reference architectures; collaborate with partners and internal teams to enable production-grade deployments. Requires strong programming (Python, C/C++), Linux, PyTorch/TensorFlow experience and prior work with LLMs and multi-agent frameworks.

NVIDIA seeks a Solutions Architect to lead CPU components of AI Factory reference architectures. Responsibilities include defining, deploying, and testing large-scale HPC/AI infrastructures, enabling customer adoption of NVIDIA compute, networking, and software stacks, and supporting MLOps and AI workflow operationalization. Requirements: 6+ years in modern data center architectures, experience with CPU/GPU/network interactions, BS/MS or equivalent, strong analytical and communication skills; occasional travel to customer sites. Preferred: Arm server experience, cluster automation and performance testing, agentic AI and reinforcement learning experience.

Lead technical roadmap and design of next-generation communication primitives and collective algorithms for scaling models to very large clusters. Work includes co-design with applications and silicon architects, optimizing for interconnects (NVLink, Spectrum-X, Quantum-X), and developing high-fidelity models/simulators. Requires 12+ years in HPC or distributed deep learning, deep familiarity with NCCL/UCX/UCC/NVSHMEM/MPI, RDMA/RoCE/InfiniBand, CUDA and GPU memory hierarchy, and experience with inference/serving engines.

Serve as a technical liaison between NVIDIA, partners, and customers to support planning, installation review (cabling, BOM, hardware compatibility), pre-deployment audits, QA, and post-deployment optimization of hyperscale AI/HPC data centers. Build partner-facing playbooks and runbooks, deliver hands-on enablement and feedback to product teams. Requires expertise in data center systems (power distribution, liquid cooling, rack/server chassis, cabling) and 8+ years of relevant experience.

Role requires 8+ years of hands-on deployment and support experience for hardware and software products, strong Linux administration, cluster provisioning, networking, scripting (Bash/Python/Ansible), experience with schedulers (SLURM/LSF/UGE), Kubernetes, benchmarking tools (HPL/NCCL/MLPerf), and up to 30% travel within the U.S. to embed with customers and partners.

Technical leadership role translating advances in ML interatomic potentials, generative modeling, and quantum chemistry into developer tools, APIs, and scientific software for NVIDIA ALCHEMI. Requires a PhD or equivalent, 8+ years building AI/ML software for chemistry or materials, and strong experience with GPU-accelerated computing and modern ML frameworks.

NVIDIA seeks a Senior Solutions Architect to advise customers and build proof-of-concepts for Generative AI and LLM inference on NVIDIA GPU platforms. Requires 8+ years' experience with deep learning frameworks (PyTorch/TensorFlow), strong Python and C/C++ skills, Kubernetes and MIG management, containerization, monitoring/observability, performance analysis, and experience with NVIDIA software (e.g., TensorRT). Role may require ~20% travel. Salary range: 184,000–287,500 USD per year.

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.

NVIDIA seeks a Developer Relations Manager to work with AI-native founders and engineering teams to design, optimize, and scale training and inference infrastructure using NVIDIA technologies (CUDA-X, TensorRT-LLM, Triton, NeMo, etc.). The role requires a BS/MS or equivalent and 5+ years in software engineering, developer relations, solutions architecture, or related fields. Position is remote (US) with posted salary ranges and applications accepted through Nov 3, 2026.

Responsible for architecting end-to-end reference architectures for disaggregated inference, large-scale foundation model training, and agentic AI pipelines. Role involves designing storage-optimized AI infrastructure (RDMA, NVMeoF, KV cache tiering, checkpoint acceleration), leveraging DPU/DOCA for offloaded services, collaborating with storage ecosystem partners to co-develop reference architectures, and driving prototyping, benchmarking, and performance validation at datacenter scale.

NVIDIA is hiring a Senior AI/HPC Engineer on the infrastructure Specialist team to deploy, manage and maintain AI/HPC GPU infrastructure in Linux environments. The role involves customer-facing architecture and implementation, cluster and network optimization (InfiniBand/Ethernet), scheduler and MPI/NCCL expertise, automation (Ansible/Salt/Puppet), Kubernetes, and documentation/knowledge transfer. Requires a related degree or equivalent and 5+ years of deployment/support experience.

Lead role to define and improve safety architecture, metrics, processes, and tools for NVIDIA's autonomous vehicle (DRIVE) products. Requires MS or higher in Computer Science/Robotics or equivalent, 12+ years of relevant industry experience, proven leadership of multi-functional architecture/verification efforts, and expertise in safety methodologies and automotive safety standards. Expected base salary range: 224,000–356,500 USD/year.

Join NVIDIA's Architecture Modeling group to model GPU architecture and baseboard components, develop and validate functional and performance simulation models, build tests and testing infrastructure, and improve the simulation platform. Requires 5+ years' relevant experience, strong C/C++ and scripting skills (Python/Perl), SystemC/TLM modeling experience, and familiarity with ML frameworks such as PyTorch and TensorFlow.

NVIDIA seeks a Senior Networking (InfiniBand/Ethernet) Solutions Architect to work with customers, partners and internal teams to design, deploy and maintain large-scale AI/HPC clusters. Responsibilities include network design and validation, automation and CI/CD for network provisioning, operational reliability (monitoring, logging, alerting), and lifecycle support. Requires at least 8 years' professional networking experience, hands-on experience with EVPN/BGP/OSPF/VXLAN, switch/router platforms (Cumulus Linux, SONiC, IOS, JunosOS, EOS), automation tools (Ansible, Salt, Python), and fluency in English and Japanese.

Principal engineering role to define and drive end-to-end software architecture for NVIDIA rack-scale systems (firmware, kernel drivers, OS, networking, fabrics, user-mode drivers, and manageability). Engage with component teams, vendors, and hyperscale customers; define requirements and roadmaps; mentor architects and make key technical decisions. Requires 15+ years' experience in system architecture and deep familiarity with networking protocols, accelerator system software, management standards (Redfish/IPMI), and platform security.

Senior technical account / developer relations role responsible for building relationships with strategic software companies, accelerating adoption of NVIDIA's AI and GPU-accelerated platform, and guiding partners through integration using SDKs, libraries, open models and agentic AI techniques. Requires deep technical expertise in AI/ML, experience with product integrations and developer enablement, and a minimum of 8 years' experience in the technology industry.

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.

NVIDIA is hiring a Developer Relations Manager to engage developers, partners, and ISVs across APAC on Robotics and Generative AI use cases. The role requires 10+ years in technical leadership/architecting GPU-accelerated solutions, hands-on software architecture and programming experience, deep knowledge of Physical/Embodied AI, LLMs/Gen AI, NVIDIA SDKs (e.g., ISAAC, DRIVE, Omniverse, GR00T), and strong communication, project management and partner-collaboration skills. Some travel is required.