NVIDIA is hiring a Senior Account Manager for AI-GRID Cloud Providers within the Telecom vertical. The role owns strategy creation and implementation, forecasting, account management, partner/OEM collaboration, and go-to-market execution to grow product footprint and revenue. Requires 12+ years of experience, deep knowledge of datacenter and AI infrastructure, and up to 25% travel.

NVIDIA seeks a Senior Scientist with a PhD or equivalent and 3+ years research experience to build LLM-based synthetic data generation pipelines (text, code, structured, multimodal), maintain open-source SDKs in the NeMo ecosystem, collaborate with model and engineering teams, publish research, and mentor junior researchers.

NVIDIA seeks a Senior Scientist to advance synthetic data generation and privacy-preserving AI within the NeMo ecosystem. Responsibilities include building LLM-based anonymization and synthetic-data methods, optimizing inference (distillation, quantization) for low-latency/high-throughput, maintaining open-source SDKs, driving software engineering practices, and publishing research. Requires PhD or equivalent and 2+ years of applied LLM/NLP research/engineering experience.

Join NVIDIA to design, implement, and optimize direct sparse solvers for GPUs (cuDSS). The role involves algorithm and kernel development, collaborating with library and QA engineers, and improving library performance and maintainability. Requires MSc/PhD (or equivalent), 5+ years developing high-performance numerical software, with experience in C++, CUDA and parallel programming; posted salary ranges from 184,000 to 356,500 USD per year depending on level and location.

Identify and qualify prospects, convert leads into opportunities, and implement demand-generation programs for existing install base and new business. Perform high-volume outbound outreach (phone, email, LinkedIn), use Salesforce for lead and opportunity management, and collaborate with Marketing, Field, Inside, and Channel Sales. Requires proficiency in English and Swedish, with 2+ years of sales development or similar experience preferred and familiarity with NVIDIA technologies and customer verticals (AI, deep learning, cloud).

NVIDIA seeks a Senior Quantum Applied Research Scientist to design and implement physics-informed models, noise models, and scalable simulation pipelines (including GPU-accelerated/CUDA implementations) for fault-tolerant quantum hardware. Requires expertise in quantum device physics, numerical simulation, synthetic data generation, and experience scaling simulations on accelerated systems. 8+ years experience and advanced degree preferred.

Lead research and engineering to build physics-informed synthetic data pipelines, surrogate models, RL/online learning-based calibration policies, and GPU-accelerated real-time AI systems for fault-tolerant quantum computing. Requires MS (PhD preferred) and 8+ years of experience in quantum systems and ML; role is US-based/remote with specified Santa Clara and Redmond locations.

Role focused on engineering the data backbone for infrastructure security: ingestion and transformation pipelines, data lake/lakehouse architecture, analytics for posture scoring and detection, and securing the data layer (encryption, RBAC/ABAC, audit). Requires 15+ years building production data systems; strong software engineering skills (Python/Go/Scala/SQL). Salary range stated: 272,000–431,250 USD/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 Systems Engineer (Storage) for DGX Cloud to build and operate Kubernetes-based storage and data platforms, create automation and tooling (manifests, Helm charts, operators), and implement telemetry/observability. Requires 12+ years' experience, hands-on Kubernetes, Linux systems, programming in Python/Go/Java, and experience with IaC and monitoring tools such as Prometheus, Grafana, and the Elastic stack.

NVIDIA seeks a Senior Graphics System Software Engineer to develop graphics and deep learning technologies for real-time AI in gaming and creator workflows. Responsibilities include designing and implementing APIs and systems across multiple GPU generations and operating systems, working with game studios, developing real-time rendering and AI techniques, and supporting design, development, and validation of next-generation graphics processors. Requires a B.S. or higher (or equivalent experience) and 12+ years industry experience; mentions experience with DirectX 12, Vulkan, system programming, and cross-platform development. Provided base salary ranges for Levels 5 and 6.

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.

NVIDIA seeks a Senior Cloud Infrastructure and DevOps Solutions Architect to assess, design, and guide implementation of large-scale AI/HPC infrastructure. Role includes Kubernetes-based platform architecture, automation (IaC), monitoring/observability, GPU-accelerated systems (NVIDIA/CUDA), hands-on troubleshooting, customer engagement, and documentation. Locations listed include France, Poland, Germany and remote; Poland salary ranges provided.

NVIDIA seeks a Senior Deep Learning Hardware Modeling Architect to create executable C++ models, drive component- and system-level architectural specifications, and resolve performance/correctness issues across hardware subsystems. Requires a BS or higher (or equivalent), 5+ years relevant experience, expert C++ skills, and experience with RTL/chip design concepts. Location: US (multiple states) with remote/hybrid options. Base salary ranges provided for levels 3 and 4 (152,000–241,500 USD and 184,000–287,500 USD respectively).

Work on analyzing deep learning networks and developing compiler optimization algorithms for NVIDIA's Deep Learning Compiler used across data centers and devices. Requires 3+ years of relevant experience, strong C/C++ and Python skills, and experience with technologies such as MLIR, LLVM, XLA, TVM, CUDA and deep learning frameworks like PyTorch.

NVIDIA is hiring a Senior LPU ASIC Engineer to own block/partition and top-level physical design (synthesis, P&R, CTS, routing, extraction, verification), drive low-power and PPA optimizations, integrate high-speed IP (SerDes/PCIe/CXL), develop automated EDA flows, and lead tapeout/sign-off activities. Requires 5+ years of relevant industry experience and expertise in UPF/LEC, MCMM STA, EDA tools, and scripting (TCL/Python/Perl).

NVIDIA seeks an Applied AI Researcher to work on NuRec research in world reconstruction and generation (novel view synthesis, generative image/video models, scene completion, neural rendering). Requires strong ML/DL, computer vision/graphics, Python and PyTorch skills; PhD+1 year or MS+5 years of relevant experience. Locations listed include UK, Switzerland, Armenia (Yerevan), Germany, and remote.

Role to profile and optimize end-to-end neural reconstruction and Gaussian Splatting workflows on GPUs, addressing data loading, training, rendering, and multi-GPU execution; convert Python/PyTorch bottlenecks into efficient CUDA/C++ or native implementations; and build benchmarks and regression tests. Requires 12+ years experience and strong skills in Python, C++, CUDA, PyTorch, and GPU profiling tools.

Lead validation, benchmarking, profiling, and root-cause analysis for distributed training and inference across multi-GPU and multi-node environments. Work with PyTorch, NeMo/Megatron, TensorRT-LLM, NCCL/CUDA stacks and build benchmark suites, failure-attribution systems, and tuning guidance. Requires 8+ years building software infrastructure for large-scale AI/HPC, expert Python and C/C++ skills, and deep experience with NCCL, CUDA, and GPU cluster fabrics.

NVIDIA seeks a Senior Solutions Architect to partner with Bavarian universities and research labs on Generative AI, Agentic AI and Physical AI research. The role requires a Ph.D., a strong publication record, experience in academic research and at least 5 years of hands-on Generative AI research, and involves championing NVIDIA software platforms, shaping institutional agreements, supporting grant efforts, and bridging academic and engineering teams.