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 Solutions Architect focused on data center GPU server and networking infrastructure for accelerated computing and AI. Responsibilities include guiding network and compute/storage topology decisions, cluster bring-up and debugging, building demos/POCs, and supporting customers. Requires 6+ years experience, strong system-level knowledge (server architecture, NICs, Linux kernel/drivers), networking (Ethernet/InfiniBand/RoCE/DPU), familiarity with containers/DevOps tools (Docker, Kubernetes), and occasional (~20%) travel.

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.

Work with science and research institutes in Japan to promote and deploy NVIDIA GPU-accelerated solutions for machine learning and generative AI. Responsibilities include leading research collaborations, designing architectures and demos, creating and running proofs of concept, onboarding developers to NVIDIA AI platforms (NIMs, NeMo), and presenting technical topics. Requires 5+ years' experience in generative AI/deep learning, strong coding skills (Python, C/C++, Bash, Linux), and excellent Japanese and business-level English communication.

NVIDIA seeks a Solutions Architect (Data Science) in ANZ to enable GSIs and AI consultancies on generative AI and LLM solutions (Nemo/NIMs), build GenAI full-stack solutions, run PoCs/demos, and support GPU-accelerated deployments. Requires deep expertise in generative AI/LLMs, ML/DL frameworks, Python, GPU/parallel computing, container orchestration and 5+ years' related experience.

NVIDIA seeks a Senior Solutions Architect for the Continuous Bring Up (CBU) Networking role to stabilize AI Factory clusters after handover, address customer change requests on network topology and workload optimization, and collaborate with CBU DevOps and Infrastructure Solutions Architects. Requires 8+ years in networking for AI/HPC clusters, proficiency with InfiniBand/Ethernet, EVPN/BGP/OSPF/VXLAN, experience with switch/router platforms (Cumulus Linux, SONiC, IOS, JunosOS, EOS), and ability to develop CI/CD pipelines for network operations. Strong English communication and customer-facing skills are essential.

NVIDIA seeks a Senior Architect to guide software design, architecture, and implementation of cost, power, and performance modeling for datacenter-scale GPU-accelerated platforms. Requires 8+ years in systems architecture and modeling, strong Python skills, and experience with datacenter/server architecture, parallel computing, data analysis, and DevOps practices.

Lead software architecture and design for NVIDIA's deep learning server platforms, collaborating across software, firmware, product, operations, and customers. Requires deep experience in server system architecture, SW/HW interfaces, device management protocols (e.g., Redfish, IPMI, MCTP, PLDM, RDE), and 10+ years in system architecture and design.

Hands-on role to architect, develop, and operationalize large-scale GPU-accelerated compute clusters and workflows. Requires 8+ years in accelerated/datacenter HPC computing, experience with scheduling and I/O stacks, parallel filesystems, scripting (C/C++/Python/Bash), and work supporting research or engineering communities. Experience with containers, telemetry/visualization pipelines, and Linux performance tools is a plus.

Role involves partnering with NVIDIA engineering, product, and sales to secure design wins; performing proof-of-concepts and in-depth profiling/optimization of ML/DL models on GPU architectures; working with client ML researchers and engineers; and producing collateral (notebooks, blogs) for finance use-cases. Requires 12+ years of relevant experience and strong Python/C++ and ML/DL framework knowledge.

Role to serve as the technical voice for NVIDIA GPU and rack-scale systems, translating GPU and system design (NVL72, NVLink, CPU/GPU co-design, power delivery, liquid cooling) into technical content and customer-facing materials. Requires 7+ years of relevant experience and BS/MS or equivalent, with deep expertise in GPU architecture, accelerators, and data center system components.

NVIDIA seeks a Senior Software Architect for an applied research team building systems-level software to move data between GPUs, nodes, and storage. The role requires 12+ years in systems software and/or networking, expertise in RDMA/InfiniBand/GPUDirect/NVLink, strong C++/Rust skills, and experience with ML system concepts and inference frameworks. Responsibilities include architecting communication libraries, profiling and optimizing data movement, integrating networking into AI stacks, and contributing to open-source projects.

Seeking a highly technical Developer Relations Manager to act as a trusted advisor to Global Systems Integrators and partners, driving adoption of NVIDIA AI/GPU platforms through technical enablement, integrations, and developer programs. Requires 12+ years in technology with strong experience in developer relations, technical partnerships, high-performance computing, cloud and AI/ML; hands-on experience with GPU/AI stacks (e.g., CUDA, Triton, NeMo, DOCA) is highlighted.

Role to partner with NVIDIA engineering, product, and sales to drive design wins in banking and consumer finance by performing proofs-of-concept, profiling and optimizing ML/DL models on NVIDIA GPUs, and building industry-specific collateral. Requires 12+ years as an ML/Software Engineer, BS/MS/PhD or equivalent experience, strong coding in Python and C++, and experience with ML/DL frameworks (TensorFlow, JAX, PyTorch, Spark, Dask). Base salary range stated: 224,000 USD - 356,500 USD per year.