NVIDIA is hiring a Solutions Architect to help partners, ISVs, and customers adopt DSX Sim and Omniverse libraries, architect and demonstrate simulation workflows, and build simulation-ready asset pipelines (OpenUSD/SimReady). Role requires a bachelor's or equivalent, 2+ years relevant experience (5+ considered for higher level), programming in Python and C/C++/Java, and hands-on experience with simulation, rendering, or digital-twin workflows.

NVIDIA is hiring a Senior Solutions Architect to partner with enterprise ISVs on architecture reviews, POCs, benchmarks, and production deployment for training, fine-tuning, inference, retrieval, and agentic AI workloads. Requires 8+ years in AI infrastructure/accelerated computing, experience with GPU clusters, cluster orchestration, networking (InfiniBand/RDMA/Ethernet), benchmarking, and building reference architectures. Travel up to 20%.

NVIDIA seeks an Applied Agentic AI Lead to collaborate with ISV Software Platform Architects to co-design, prototype, and ship production agentic AI systems (RAG, multi-agent, long-horizon workflows) on NVIDIA technologies. The role requires 12+ years of relevant technical, product, or solutions experience, strong deep learning and GenAI foundations, hands-on experience with LLM stacks and production deployment tooling (Python, LangChain, vLLM, TensorRT-LLM, Kubernetes, etc.), and the ability to represent partner needs to product and engineering teams.

Join the First Time Deployment Team to lead validation of AI factory bring-up from rack power-on through customer handoff. Responsibilities include executing and debugging distributed AI/LLM benchmarks (NCCL, collectives like AllReduce/AllToAll), developing automation and observability, analyzing performance, and working with cross-functional teams. Requires 6+ years managing Linux-based systems in HPC/distributed/AI settings, hands-on multi-GPU/multi-node experience, proficiency in Python and Shell, and familiarity with PyTorch or TensorFlow.

Lead first-time deployment efforts for NVIDIA's NVIS data center reference architectures, including review of build plans, QA/testing/commissioning, pre-deployment audits, and coordination with product, engineering, customers, and partners. Requires 6+ years in data centers or similar, ability to travel (~40%), and domain expertise in mechanical/electrical systems, power delivery, cooling (including liquid cooling), rack/chassis, and cabling. Base salary range stated: 148,000–235,750 USD per year.

Technical manager responsible for recruiting and managing solutions architects and engineers to operationalize NVIDIA GPU and network systems, drive initial deployment setup, validation, and customer requirements into product teams. Requires 8+ years of relevant systems/field/data center engineering experience, hands-on expertise with GPU/server/network architectures and Linux, and occasional travel (~30%).

NVIDIA seeks a Senior Solutions Architect to deploy, manage, and validate first-of-kind NVIDIA AI/HPC hardware in Linux environments. Responsibilities include working with customers and engineering teams on networking (InfiniBand and LAN), system design, automation, benchmarking (HPL, NCCL, MLPERF), and documentation. Requires 6+ years of deployment/support experience, strong Linux and scripting skills, familiarity with schedulers (SLURM/LSF/UGE), Kubernetes, and willingness to travel within the United States.

Technical Engagement Lead responsible for architecting, prototyping, and shipping production agentic AI systems (RAG, multi-agent, inference) on NVIDIA stack and open tools; drive adoption with strategic ISV partners, coordinate cross-functional teams, and inform product and research priorities. Requires 12+ years in technical product/engineering/solutions roles, advanced AI/ML and deep learning experience, and proficiency with Python, PyTorch, MLOps, Kubernetes, and relevant agent/LLM tooling. Salary range provided: 224,000–431,250 USD base (location- and level-dependent).

NVIDIA is hiring a Senior Solutions Architect to work with customers and R&D on Spectrum‑X and related high‑performance networking (InfiniBand, Ethernet, RoCE/RDMA) for AI and HPC clusters. Responsibilities include pre-sales support, proof‑of‑concept development, troubleshooting complex L2–L4 networking issues, and contributing to product requirements. The role requires 6+ years of software/networking experience and a technical degree or equivalent. Base salary range: 148,000–235,750 USD/year.

NVIDIA seeks an AI Solutions Architect with 5+ years' experience in AI/software engineering to profile and optimize model training/inference on GPUs, develop and optimize GPU kernels (GEMM, attention), build POCs for LLMs and recommenders, and lead customer-facing technical engagements. Open to remote work with occasional travel; salary range USD 152,000–241,500 per year.

Role supports design-in, integration readiness, issue resolution, validation, NPI, and production ramp for NVIDIA rack-scale AI systems with ODMs and manufacturing partners. Requires 5+ years relevant experience, familiarity with server/rack/GPU/networking/storage/power/thermal/BMC/Linux debug workflows, and strong English communication skills. Local to Nashville (TN, USA) is strongly preferred; role involves primarily onsite support with remote work and travel as needed.

NVIDIA seeks a Senior Solutions Architect to act as a technical advisor for NVIDIA Cloud Partners, owning end-to-end integration of GPU-based AI/HPC solutions. The role requires 10+ years in solution/sales/cloud engineering, hands-on experience with large-scale clusters, deep learning frameworks (PyTorch, TensorFlow), Python, model fine-tuning and deployment, and familiarity with NVIDIA software and cloud/hybrid infrastructures. Responsibilities include driving PoCs, delivering technical content, and partnering across sales, engineering, and product teams.

Hands-on role bridging hardware bring-up, sensor integration, and deployment of robotics models on NVIDIA embedded platforms. Requires 5+ years in embedded systems (experience with Jetson), strong ROS 2 fluency, sensor pipeline integration (cameras, LiDAR, IMU), and expertise in AI model deployment/optimization (TensorRT, GPU profiling) for edge robotics applications.

Join NVIDIA's AI Factory infrastructure team to design, scale, and support on-prem and cloud GPU-based AI infrastructure. The role involves technical presales support, on-site troubleshooting, lifecycle ownership of products, maintaining NVIDIA-side infrastructure components, and providing training to sales and partners. Travel is expected (approximately 25–30%).

NVIDIA seeks a Senior Solutions Architect to partner with cloud and enterprise customers on design, architecture, performance modeling, validation, and NPI deployments of large GPU/NVLink AI and HPC clusters. The role requires 8+ years of experience in cluster design and issue resolution, hands-on debugging, and close collaboration with engineering, product, and field teams.

NVIDIA seeks an experienced Senior Solutions Architect to partner with cloud partners and customers to design, build, and deploy large-scale GPU-based AI/HPC infrastructure and applications. The role requires hands-on experience with deep learning, LLMs, GPU technologies, distributed/cloud architectures, and frameworks such as PyTorch and TensorFlow, and involves customer-facing technical leadership, proofs-of-concept, and production deployments. Up to 40% travel may be required.

Lead strategic developer engagement across the energy ecosystem—advising developers, partners, and internal teams; demonstrating and integrating NVIDIA software (tools, SDKs, libraries, NIMs) into partner products; providing reference implementations, sample code, and hands-on support; influencing product roadmaps and collaborating with account teams. Requires a Bachelor's/Master's or equivalent and 5+ years professional experience (including 3+ years hands-on AI development in the energy sector). Salary range listed: 152,000 USD - 241,500 USD (base).

NVIDIA seeks a Senior Solutions Architect to work with cloud partners and customers on end-to-end GPU cluster architecture and deployments. Responsibilities include cluster design and networking guidance, performance modeling and validation, hands-on debugging of deployment issues, and feeding field insights back to engineering. Requires 8+ years of experience with GPU/HPC clusters and expertise in distributed systems, networking, and relevant libraries (NCCL, MPI, IMEX, NMX).

Lead planning and deployment of large-scale AI data centers, focusing on power and cooling systems, telemetry and control systems, and construction/delivery processes. Review designs for compliance with NVIDIA reference architectures and industry standards, perform pre-deployment audits, drive QA and continuous improvement, and collaborate with product, engineering, customers, and partners. Position requires ~12+ years experience in data center engineering, hyperscale deployments, and readiness to travel (~25%).

Role requires working with EDA/CAD developers and semiconductor customers to accelerate EDA and manufacturing workflows using NVIDIA GPUs and software (e.g., cuLitho, CUDA). Requires 4+ years in semiconductor design/EDA/manufacturing or AI/ML applied to these domains, experience with Python/C/C++, AI frameworks (PyTorch/TensorFlow), and familiarity with HPC, containers, and distributed GPU systems. Master's/PhD or equivalent experience preferred.