Hands-on Solutions Architect to design, deploy, and operate Kubernetes-based platforms for distributed GPU and robotics workloads (simulation, synthetic data, training, inference). Collaborate with product, engineering, and business teams to drive adoption of NVIDIA Physical AI technologies. Requires 5+ years in solution architecture or infrastructure engineering and experience with networking, storage, workflow orchestration, DevOps practices, and NVIDIA inference/simulation tools.

NVIDIA is hiring a Developer Relations Manager to work with maintainers and architects of analytical data systems to design and implement GPU-accelerated integrations, run and publish rigorous benchmarks (e.g., TPC-H, TPC-DS, ClickBench), define APIs and integration surfaces, and feed technical requirements back to NVIDIA product teams. Requires hands-on experience with analytical data systems, open source collaboration, and working familiarity with C++, Rust, or Python and GPU data libraries such as CUDA, RAPIDS, cuDF, and nvCOMP. Minimum 6 years of professional experience.

Role leads technical and partnership efforts to integrate NVIDIA software libraries/frameworks into Meta's platforms, driving adoption across product, engineering, and research teams. Requires 12+ years' technology experience with deep expertise in large-scale AI infrastructure, inference and training platforms, GPU/kernel performance, developer advocacy, and cross-functional stakeholder management.

Lead the technical charter to advance integration of NVIDIA software across a major partner (Alphabet), coordinating product, engineering, DevTech, and GTM teams to deliver joint solutions. Requires 12+ years in technology with deep experience in developer relations, technical account management, hyperscaler ecosystems, and applying accelerated computing to production AI/ML workloads.

Lead technical charter and partnerships with Microsoft to integrate NVIDIA libraries, models, and frameworks into Microsoft platforms. Coordinate cross-functional NVIDIA teams (product, engineering, DevTech, Developer Relations, GTM) to accelerate adoption, resolve technical challenges, and influence product and go-to-market strategy. Requires 12+ years in developer relations, technical partnerships, product management, or solutions architecture with experience in accelerated computing and hyperscaler ecosystems.

NVIDIA seeks a Senior Solutions Architect for generative AI with deep hands-on experience in large-scale GPU systems. Responsibilities include accelerating customer workloads, designing and optimizing AI clusters (compute, networking, storage, orchestration, observability), profiling distributed training/inference, diagnosing GPU/network/storage issues (InfiniBand, RoCE, RDMA, NCCL, NVLink, NVSwitch), and leading POCs and performance studies. Role requires ~6+ years experience. Occasional travel (~20%) and remote work are supported. Provided salary ranges: USD 184,000–287,500 (Level 4) and USD 224,000–356,500 (Level 5).

Embed with internal research and product teams to design and implement distributed cloud infrastructure (compute, storage, networking, GPU capacity) across IaaS/PaaS/SaaS. Provide architectural guidance, write production code, build automation and tooling, and drive capacity-planning and cross-functional infrastructure strategy.

NVIDIA is hiring a Solution Architect to support government clients across regions by developing strategies, running proofs-of-concept, and demonstrating AI solutions using NVIDIA software and hardware. Requires a Master's or equivalent, at least 5 years' technical consulting or software development experience (including 3 years delivering computer vision, deep learning, or generative AI solutions), and hands-on experience with Python, PyTorch, and containers. Occasional international travel may be required.

Lead developer relations efforts for computer-aided engineering (CAE), acting as a technical advocate and partner-facing resource. Responsibilities include integrating NVIDIA software (SDKs, libraries, NIMs, blueprints) into partner projects, supporting onboarding and integrations, researching ecosystem trends, and collaborating with engineering and product teams. Role requires a Bachelor's/Master's or equivalent and 5+ years of relevant experience (software engineering, developer relations, solutions architecture, or technical partnerships).

NVIDIA seeks a Senior Developer Relations professional to advise and collaborate with security companies on leveraging NVIDIA technologies for AI and agentic security. The role involves technical partnership, onboarding and integration support, ecosystem mapping, cross-functional collaboration, public technical enablement (talks, workshops, hackathons), and feeding partner feedback into product roadmaps. Requires a bachelor’s degree or equivalent and 8+ years of tech industry experience, including 3+ years in AI or agentic security.

Responsible for architecting gigawatt-scale Ethernet networking infrastructures for AI/HPC and automotive customers, building demonstrations and POCs, guiding customers from design to production, and collaborating with engineering, product, and sales teams. Requires 10+ years in Ethernet networking for HPC/AI, systems engineering, C/C++ and Linux kernel experience, and knowledge of Slurm, telemetry (gNMI), and observability tools (Grafana).

Seeking a Senior Solutions Architect to lead technical delivery for enterprise ISV partner engagements focused on agentic AI, multi-agent orchestration, RAG, model customization, and production deployments on NVIDIA AI and GPU infrastructure. Requires 8+ years experience, strong Python/Linux skills, hands-on experience with LLMs/generative AI, PyTorch/TensorFlow, and familiarity with agent frameworks and NVIDIA tooling.

NVIDIA is hiring a Solutions Architect to support partners and customers in adopting DSX Sim and Omniverse libraries, architect simulation workflows, and develop reference architectures, benchmarks, and prototypes. The role requires programming in Python and a higher-level language (C/C++/Java), experience with OpenUSD or similar scene-description workflows, and at least 2 years of relevant engineering, technical sales, or solution architecture experience.

NVIDIA seeks an Applied Agentic AI Lead to act as the technical lead for strategic ISV partners, co-designing and shipping production agentic AI systems (RAG, multi-agent, long-horizon workflows) on NVIDIA stacks (NeMo, Nemotron, NIM, Dynamo, TensorRT-LLM) and ecosystem tools (vLLM, LangChain, MCP/A2A). Requires 12+ years of technical experience, strong deep learning/GenAI foundations, hands-on engineering (Python, inference engines, vector DBs), and enterprise deployment knowledge (MLOps/LLMOps, Kubernetes, Docker).

Validate and operationalize NVIDIA AI factory environments from first rack power-on to customer handoff. Work on multi-GPU/multi-node Linux clusters running AI/LLM workloads using NCCL and collectives (AllReduce, AllToAll); own benchmark execution, observability, automation (Python, Shell), and cross-functional troubleshooting. Requires a BS or equivalent and 6+ years managing Linux-based systems in HPC/distributed/AI settings. Location: US (remote / multiple US locations). Salary range provided by employer: 148,000–235,750 USD/year.

Lead architectural planning, build/construction oversight, pre-deployment audits, commissioning, and quality assurance for first-time AI/HPC data center deployments. Requires a Bachelor's degree or equivalent, 6+ years of data center or related experience, strong mechanical/electrical infrastructure knowledge, customer-facing skills, and ability to travel (up to 40%). Expected base salary range: 148,000–235,750 USD per year.

NVIDIA seeks a Senior Solutions Architect to deploy, manage, and validate first-of-kind AI/HPC systems in Linux environments, focusing on networking (InfiniBand, UFM), benchmarking/validation (HPL, NCCL, MLPERF), automation/scripting (Bash, Python, Ansible), and cluster/scheduler integration (SLURM, etc.). Requires 6+ years of deployment/support experience, willingness to travel within the United States, and a four-year degree or equivalent experience.

Lead technical engagements with strategic ISV partners, design and ship production agentic AI (RAG, multi-agent workflows, inference) on NVIDIA and open stacks (NeMo, TensorRT-LLM, vLLM, LangChain, vector DBs). Requires 12+ years in technical product/engineering/solutions roles, advanced AI/ML and deep learning experience, proficiency in Python and PyTorch, and familiarity with MLOps, Kubernetes, Docker, and enterprise security/compliance.

NVIDIA seeks a Senior Solutions Architect with 6+ years' experience in software/networking to support Spectrum‑X and related technologies (InfiniBand, Ethernet, RoCE/RDMA). Responsibilities include pre‑sales customer engagement, developing proofs of concept, troubleshooting L2–L4 network issues, working with R&D on features, and contributing to product requirements. Strong Linux, networking protocol, and debugging skills are required; coding and cloud/AI workflow experience are desirable.

NVIDIA is hiring a Senior Field Applications Engineer to support large datacenter deployments of AI compute systems, providing onsite troubleshooting, system and network design expertise, and technical support to sales and customers. Requires 5+ years in system design or technical customer support, deep knowledge of servers, storage, network devices, GPUs, and networking protocols; U.S. citizenship is required. Role may require up to 30% travel; listed base salary ranges span USD 132,000–207,000 (Level 3) and USD 160,000–253,000 (Level 4).