NVIDIA seeks a Senior Solutions Architect to support higher education and research institutions in computational physics, engineering simulation, scientific AI, and HPC. The role involves architecting GPU-accelerated solutions, profiling and optimizing scientific applications and AI workloads, and collaborating with researchers and internal teams. Required: BS/MS/PhD or equivalent, 8+ years in accelerated computing and parallel/GPU computing, strong Python and C++ skills. Salary range listed: 184,000–287,500 USD base per year. Travel up to 20%.

NVIDIA seeks a Senior AI Compute Engineer to work with customers, partners and internal teams to plan, deploy and support large AI factory systems. Responsibilities include Linux-based system administration, data center networking and monitoring, automation/scripting, troubleshooting hardware and software issues, creating handover documentation and knowledge transfers. Requires a bachelor’s degree or equivalent and 8+ years of data center support and deployment experience; excellent English communication skills. Kubernetes, NVIDIA/AI infrastructure experience and industry data center certifications are listed as desirable.

Join NVIDIA as a Solutions Architect for AI Factory infrastructure deployments, focusing on architecting and scaling high-performance distributed GPU infrastructure (data center and edge), customer technical engagements, on-site hardware/software support for deep learning inference, and enabling sales. Requires BS/MS (or equivalent), 5+ years in high-tech IT (NCP/CSP/site reliability/virtualization), 4+ years with Kubernetes/Slurm/Docker, proficiency with AI tools and monitoring (Redfish, Grafana, Prometheus). Salary ranges provided for levels 3 and 4 (USD 152,000–241,500 and USD 184,000–287,500).

Join NVIDIA's Infrastructure Specialist Team to design, deploy, and support large-scale AI/HPC networking projects (InfiniBand and Ethernet). Responsibilities include cluster deployment, performance benchmarking, automation (Ansible/Salt/Python), monitoring and reliability, and troubleshooting RDMA/network issues. Requires a BS/MS/PhD or equivalent and at least 5 years' networking experience.

Join NVIDIA's developer programs team as a Solutions Architect working with industry enterprise customers and AI startups to accelerate applications using NVIDIA technologies (CUDA, cuDNN, Triton, RAPIDS, Riva, etc.). The role requires external-facing technical experience (5+ years), creating technical content, developer enablement, training, and presenting to technical audiences.

NVIDIA seeks a Solutions Architect for Financial Services Capital Markets to partner with engineering, product, and sales teams, run customer proof-of-concepts, profile and optimize ML/DL models on NVIDIA GPU architectures, and build finance-focused collateral. Requires MS/PhD or equivalent experience, 5+ years as an ML/software engineer, proficiency in Python and C++, and experience with frameworks such as PyTorch, TensorFlow, JAX, Spark or Dask. Base salary range: 152,000 USD - 241,500 USD per year.

NVIDIA seeks a Senior Solutions Architect to work with customers, partners, and internal teams to design and deliver energy-specific applications and platforms using GPU, networking, AI, and HPC technologies. Requires MS/PhD or equivalent experience, 8+ years in data science or software development, experience with GPUs/parallel computing, containerization (Docker/Kubernetes), and deep learning frameworks. Salary ranges provided for two job levels (USD).

NVIDIA seeks a Senior AI/HPC Engineer / Solution Architect to deploy, manage, and maintain Linux-based AI/HPC infrastructure for customers. The role involves system and network design, cluster management, automation, troubleshooting, documentation and customer-facing support for large GPU clusters and AI workloads. Requires 5+ years of relevant deployment/support experience and strong Linux, networking, scheduler, and automation skills.

Responsible for designing, building and supporting large-scale AI/HPC infrastructure with emphasis on networking (InfiniBand, EVPN/BGP/OSPF/VXLAN), switch/router platforms (Cumulus Linux, SONiC, IOS, JunosOS, EOS), automation (Ansible, Salt, Python), CI/CD, and monitoring. Requires BS/MS/PhD or equivalent and at least 8 years' professional networking experience. Strong English communication and customer focus required. Poland-specific annual salary ranges are provided in the posting.

Senior Principal Architect in NVIDIA's Advanced Development team working on GPU Networking to optimize AI workloads. Responsibilities include leading vision, architecture, and proof-of-concept development across distributed AI, HPC, SDN, virtualization, storage and related data center technologies. Requires M.Sc. or Ph.D. (or equivalent), 8+ years industry experience in systems architecture or related fields, experience with virtualization, networking, storage, Windows and Linux drivers, and strong performance profiling and optimization skills.

NVIDIA seeks a Senior Solutions Architect (Gen AI) to work with hospitality and travel customers to design, build, and deploy GenAI solutions. Requires 8+ years in technical AI roles, expertise in LLM training/fine-tuning and inference (vLLM, TRT-LLM, etc.), familiarity with TensorFlow/PyTorch/Hugging Face, GPU cluster architectures, DevOps tools (Docker, Kubernetes, GitLab, Linux), and experience delivering POCs, workshops, and technical training. Salary range provided: 184,000–287,500 USD per year.

Lead the full-stack system software architecture for Space-1 and successor Orbital Data Center modules, including BMC firmware, BIOS, host OS, GPU/CPU drivers, CUDA/DCGM, manageability, and telemetry. Define rad-tolerant behaviors, redundancy, remote bring-up and in-orbit firmware update strategies, and partner with hardware teams and constellation operators. Role requires 15+ years of relevant server/platform system software experience and hands-on skills in C/C++, Python, firmware/OS bring-up, and management protocols such as Redfish, MCTP, and PLDM.

Role involves architecting and deploying agentic GenAI/LLM solutions for telecommunications network operations (telemetry, logs, SNMP, NetFlow/IPFIX, time-series), enabling NVIDIA Telco partners on NVIDIA AI stacks (Morpheus, RAPIDS, NeMo, NIM), and providing technical guidance for production integration. Requires 6+ years building and deploying AI/ML systems, strong Python and PyTorch experience, and familiarity with telecom data and related tooling.

NVIDIA seeks a Senior Embedded Architect Manager to research, design, and implement hardware and software security solutions for networking products. The role requires 12+ years of experience with IO interfaces (I2C, I3C, SPI, UART, USB, PCIe), low-level firmware and languages (Verilog, Python/Perl, ARM assembly, C/C++), and experience with boot architecture, RISC-V, root-of-trust, and hardware security primitives.

NVIDIA is hiring a Senior Solutions Architect to lead customer technical engagements with hyperscalers and cloud providers for AI training, inference, and large-scale AI infrastructure. Requires 8+ years experience, strong Linux and ML infrastructure knowledge, and proficiency in Python; experience with GPUs/CUDA, containerization (Docker/Kubernetes), distributed training, and frameworks like PyTorch or JAX is desirable. Posted salary ranges from USD 184,000 to 356,500 per year across levels.

Work with customers and internal teams to build, deploy, and optimize large-scale AI training and inference infrastructure using NVIDIA GPUs and networking. Role requires hands-on experience with NVIDIA system software (CUDA, NCCL, drivers), Linux, cluster and node performance analysis, and high-performance networking (e.g., RDMA). Base salary range listed: 135,000 CAD - 220,000 CAD (level-dependent).

NVIDIA seeks a Senior Solutions Architect for the IPP Cloud Infrastructure team to design, implement and support end-to-end CI/CD and private GPU cloud services used by internal development teams. The role involves optimizing performance and cost of AI development/test systems, onboarding customers onto private cloud, leading software projects, and using technologies such as OpenStack, Kubernetes, Docker, VMs, Java, Python, SQL/NoSQL databases, and various DevOps tools. Requires BS in EE/CS or equivalent and 12+ years of systems software development experience (including at least 1 year with AI).

Lead a team consulting on and optimizing GPU-accelerated datacenter infrastructures, performing hands-on analysis and tuning, collaborating with engineering/product/sales and customers, and establishing monitoring and optimization methodologies. Requires experience in data center/server/network operations, strong technical leadership, and proficiency in Japanese and English.

Principal Architect on NVIDIA's Networking Systems & Software Architecture team responsible for setting long-term technical vision, conducting original research and prototypes (RDMA, NVLink, GPUDirect), driving hardware-software co-optimization across GPUs/DPUs/NICs, integrating networking into AI serving stacks, publishing results, and mentoring senior engineers. Requires 15+ years in systems software or networking and expertise in high-performance networking, communication libraries, GPU-accelerated systems, and languages such as C/C++/Rust/Python.

NVIDIA is hiring a Solutions Architect to lead CPU components within the AI Factory: design, deploy, and test large-scale HPC/AI reference architectures; enable customers on NVIDIA compute, networking, and software stacks; and operationalize MLOps and AI workflows. Requires 6+ years of hands-on data center architecture experience and occasional customer travel.