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).

Hands-on role bridging hardware bring-up, sensor pipelines, and edge AI model deployment for NVIDIA Physical AI partners. Requires 5+ years in embedded systems (Jetson experience), strong ROS 2 fluency, sensor integration (cameras, LiDAR, IMU), and expertise in GPU profiling and optimization (e.g., TensorRT).

NVIDIA seeks a Senior Solutions Architect to support GPU- and NVLink-based cluster design, performance modeling, validation, and NPI deployments for large-scale AI and HPC infrastructures. Requires 8+ years of cluster design and HPC/GPU experience and hands-on troubleshooting with NVIDIA technologies and networking/topologies.

NVIDIA seeks a Developer Relations Manager focused on the energy sector to drive ecosystem adoption of NVIDIA hardware and software (CUDA-X, SDKs, frameworks). Responsibilities include advising developers and partners, integrating NVIDIA stacks into partner products, providing reference implementations and demos, influencing product roadmaps, and collaborating with account teams and ISVs. Requires a Bachelor’s/Master’s or equivalent and 5+ years industry experience (including 3+ years hands‑on AI development in the energy sector).

NVIDIA seeks a Senior Solutions Architect to partner with cloud providers and customers on end-to-end GPU and NVLink cluster architecture, performance modeling, validation, debugging, and NPI deployments. Requires expertise in large-scale distributed systems, AI/HPC clusters, networking, and hands-on experience with NVIDIA technologies.

Remote Senior Solutions Architect role on NVIDIA's Infrastructure Specialists team responsible for end-to-end observability of HPC and AI factory systems. Responsibilities include running validation tools and microbenchmarks, defining health metrics and thresholds, extending telemetry across hardware and fabric, building automation (Python, Shell), working with observability stacks (Prometheus, Grafana, Loki), and collaborating with cross-functional teams to prepare systems for deployment. Requires 6+ years managing Linux-based systems in HPC or large AI/ML environments and hands-on multi-GPU/multi-node cluster experience.

Role to design and implement APF Core Services (runtime policy verifier, signed policy verification, trust roots, revocation, authorization APIs), deterministic policy projection, conformance and verification test suites, and public runtime integration interfaces. Requires 15+ years experience in systems/software/security engineering, strong programming in Rust/Go/C++/Python, familiarity with Linux, protobuf/gRPC, CI/test automation, cloud deployments, and practical security engineering (signatures, revocation, rollback protection, zero-trust).

The role partners with NVIDIA engineering, product, and sales to deliver design wins and proofs-of-concept for Financial Services Capital Markets customers. Responsibilities include profiling and optimizing ML/DL models for NVIDIA GPUs, building finance-focused collateral (notebooks, blogs), working with ML researchers and engineers, and enabling deployment of models at scale on cloud or on-prem HPC clusters. Requires MS/PhD or equivalent and a minimum of 5 years' relevant experience (Python, C++), knowledge of ML/DL frameworks and NVIDIA GPU/CUDA technologies. Posted salary range: 152,000–241,500 USD per year.

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.

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 agentic and generative AI solutions using NVIDIA full-stack technologies. Role requires hands-on experience with LLM training, fine-tuning, inference optimization (e.g., vLLM, TRT-LLM), GPU cluster architectures, and DevOps tools, plus customer-facing POC development, workshops, and technical enablement. Minimum 8 years experience and advanced degree preferred.

Lead the full-stack system software architecture for Space-1 and successor Orbital Data Center modules, covering data center stack, BMC firmware, BIOS, host OS, GPU/CPU drivers, CUDA/DCGM, and manageability telemetry. Drive interfaces and trade-offs across silicon, board, firmware, OS, and AI workload layers to ensure reliable autonomous operation in low-Earth orbit, including fault containment, in-orbit updates, redundancy, and radiation/thermal-cycle resilience.

NVIDIA seeks a Senior Software Engineer to debug and extend cloud-native stacks for multi-rack, multi-tenant AI/ML datacenters (Kubernetes and Slurm), prototype operator and Slurm plugin features, build reproducible testbeds (Helm/Ansible/Terraform), and work directly with CSPs. Requires 10+ years in distributed systems software development, strong Kubernetes and Slurm expertise, GPU integration experience, and familiarity with CI/CD, observability, and infrastructure-as-code. Locations listed in the US (Austin, Redmond, Seattle, Santa Clara) and remote; published base salary ranges in USD are provided in the posting.

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 seeks a Senior Solutions Architect to drive technical execution across engineering, product, and sales teams to achieve hyperscaler-scale deployments of GPU-based data center infrastructure. Responsibilities include architecting high-performance distributed AI systems (on-prem or cloud), supporting sales to secure design wins, troubleshooting hardware/software issues with emphasis on deep learning inference, analyzing deployment logs, and developing demos and system designs. Requires a BS/MS/PhD or equivalent experience, at least 4 years in high-tech/system design or customer support, strong analytical skills, and excellent written and oral English communication.

Hands-on Solutions Architect responsible for architecting and scaling high-performance distributed AI infrastructure (on-prem or cloud) using NVIDIA GPU systems, supporting sales to secure design wins, and providing technical and onsite troubleshooting for deep learning inference workloads. Requires 8+ years in high-tech electronics/system design or technical customer support, strong analytical/problem-solving skills, and excellent English communication. Familiarity with NVIDIA hardware (e.g., H100, GB200), NCCL, DCGM, UFM, and embedded Linux is highlighted.

Act as a technical advisor to research labs, map the research ecosystem, stay current on domain research, collaborate with account, architecture, and business teams, and represent researcher needs internally. Requires PhD (or equivalent) and 3+ years experience applying AI to physics or computational science domains; deep familiarity with GPU-accelerated workflows and NVIDIA platforms/tools is strongly preferred.

Role requires a technical developer-relations leader focused on capital markets workflows (quant research, trading systems, risk analytics, market data). Responsibilities include integrating NVIDIA software (CUDA, CUDA-X, AI frameworks), delivering benchmarks and reference implementations, advising partners, building developer communities, and influencing product roadmaps. Requires 12+ years professional experience and 8+ years hands-on capital markets or financial software experience.

Lead and recruit a team of solutions architects and engineers focused on GPU and data center networking deployments. Provide deep technical leadership for system and network architecture, hands-on debugging and cluster bring-up, collaborate with product management and sales to influence roadmap and reference designs. Requires 8+ years in systems/solutions/field or data center engineering with 2+ years leading or mentoring engineers; experience with Linux, kernel drivers, GPUs, NICs, Ethernet/InfiniBand/RoCE, and C/C++ is expected. Occasional travel (~20%) and remote work are supported.

Lead the technical vision, original research, and prototyping for distributed AI communication systems (GPU-to-GPU, GPU-to-storage, cross-node) using technologies such as RDMA, NVLink, GPUDirect and communication libraries (NCCL, UCX, MPI, NVSHMEM). Requires 15+ years in systems software/networking, strong GPU-accelerated systems and computer architecture knowledge, and proficiency in C/C++/Rust/Python.