NVIDIA seeks a Senior Deep Learning Scientist to advance multimodal, agentic AI (audio-visual reasoning, tool use, long-horizon planning). Responsibilities include developing and deploying large language and multimodal models, advancing post-training/alignment methods (instruction tuning, preference optimization, RLHF/RLVR/MOPD), and leading multimodal dataset collection and benchmarking. Requires a Master's or PhD (or equivalent) with 8+ years experience, strong Python and PyTorch skills, foundation model and RL knowledge. Base salary range: 184,000 USD - 287,500 USD per year.

NVIDIA seeks a Senior NCX Engineer to work with strategic customers and partners to build, deploy, and optimize AI workloads (training and inference) on NCP, Neo Cloud, DGX Cloud and major CSPs. The role requires customer-facing experience, expertise in Kubernetes, containers, GPU scheduling, Linux, Python/Go, ML frameworks (PyTorch/TensorFlow), observability and infrastructure-as-code practices.

NVIDIA seeks a hands-on Senior Solutions Architect to design, prototype, and ship agentic AI applications and high-performance RAG pipelines for M&E customers. Responsibilities include customer-facing technical leadership, optimizing inference on NVIDIA stacks, building reference architectures, and collaborating with engineering and sales. Requires 8+ years as an ML/software engineer or solutions architect, production coding in Python/C/C++, expertise in PyTorch, distributed GPU training/inference, multi-agent frameworks, and cloud or on-prem deployments. Salary range provided: 184,000–287,500 USD per year.

Join NVIDIA's energy team as a Solutions Architect focusing on last-mile deployment of AI in control rooms, plants, substations, and field sites. Responsibilities include architecting GPU-accelerated solutions, building industrial digital twins with Omniverse, deploying edge AI (Jetson/IGX), improving OT cybersecurity (Morpheus, BlueField), and implementing predictive maintenance and forecasting. Requires demonstrated experience with OT/ICS (SCADA, DCS, EMS/ADMS/DERMS), power-system modeling tools, Python, deep-learning frameworks, containerization (Docker, Kubernetes), and a minimum of 4 years' relevant experience. Up to 20% travel.

NVIDIA seeks a senior machine learning/graphics engineer to apply AI and deep learning research to productize neural graphics for gaming, AR, and pro-visualization. The role requires expertise in ML/DL, real-time computer graphics, CV, strong programming skills (Python, C++, CUDA), and experience with TensorFlow/PyTorch. Position is US-based (Durham and Santa Clara listed) with remote options; salary ranges provided for levels 5 and 6.

Join NVIDIA's Relational Foundation Model team to design and experiment with novel Transformer and GNN architectures that generalize across relational databases and heterogeneous graphs. Responsibilities span architecture design, large-scale training, post-training optimization and inference acceleration for applications such as forecasting, entity matching, customer retention and fraud detection. Requires an MS or PhD in ML/CS (or equivalent), proficiency in Python and deep learning frameworks (e.g., PyTorch) and at least 8 years of research experience.

NVIDIA seeks a Senior AI/Deep Learning Compiler Engineer to analyze deep learning networks and develop compiler optimization algorithms and code-generation techniques. The role requires strong CUDA and GPU performance debugging skills, experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton), and proficiency in C/C++ and Python. The position lists a minimum of 3+ years' relevant experience and provides a base salary range of 152,000–241,500 USD per year.

Senior Platform AI Engineer to define platform architecture, onboard domain agents/skills, and own delivery from design through production operation including security, reliability, performance, orchestration, observability, and SLA enforcement. Requires 8+ years designing/operating production platform or backend infrastructure, 5+ years in ML infrastructure, strong Python and at least one compiled language, and hands-on experience with job queues, sandboxed execution, and container runtimes. Experience with silicon design or EDA toolchains is a plus.

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 Deep Learning Software Engineer (Inference) to design, build, and optimize GPU-accelerated software and open-source inference frameworks for LLMs, multimodal and generative AI. The role involves performance analysis, profiling, multi-GPU scaling, and contributing to libraries such as vLLM, SGLang, FlashInfer using technologies like CUDA, CUTLASS, Triton and NCCL. Requires strong C/C++ skills and 5+ years of relevant experience.

NVIDIA OpenShell seeks a senior research engineer to identify, prototype, benchmark, and integrate advances in agentic systems and LLM infrastructure into production runtime and developer tools. Requires 8+ years of relevant experience, MS/PhD or equivalent, deep experience with LLMs, agent harnesses, inference infrastructure, evaluation and safety approaches. Base salary range listed: 184,000–287,500 USD/year.

Role involves designing and evaluating routing policies for LLM traffic, building and running agentic benchmarks, contributing code and design docs to open-source, and collaborating with research and engineering teams to integrate optimized inference solutions. Requires 8+ years' experience with deep learning frameworks (PyTorch or TensorFlow), strong ML and systems fundamentals, and experience in model evaluation and benchmarking.

NVIDIA seeks a Senior Data Scientist to build and deploy scalable ML, prescriptive analytics and optimization models for cloud gaming (real-time routing, scheduling, capacity allocation, personalization). Requires 6+ years (or PhD) in a quantitative field, strong Python and SQL skills, experience with big-data tools (Spark, Databricks, Delta Lake), ML tooling (MLflow) and optimization methods (linear programming, OR-Tools). Base salary range: 184,000–287,500 USD per year.

Lead development of scalable mapping and reconstruction systems from multi-camera video and fleet sensor data. Responsibilities include 3D reconstruction, structure-from-motion, pose estimation, map fusion, change detection, sensor fusion, production C++ systems, visualization and evaluation for self-driving applications. Requires 15+ years of experience.

NVIDIA seeks a Senior Solutions Architect to partner with universities and research labs on LLMs, VLMs, multimodal models, pretraining/post-training, inference studies, distributed GPU-accelerated training, and agent evaluation. Requires 8+ years in AI systems or research-scale generative AI workflows; travel up to 20%. Base salary range listed: 184,000–287,500 USD/year.

NVIDIA seeks a Senior Solutions Architect to support higher education and research institutions in computational physics, engineering simulation, scientific AI, and HPC. The role involves architecting GPU-accelerated solutions, profiling and optimizing scientific applications and AI workloads, and collaborating with researchers and internal teams. Required: BS/MS/PhD or equivalent, 8+ years in accelerated computing and parallel/GPU computing, strong Python and C++ skills. Salary range listed: 184,000–287,500 USD base per year. Travel up to 20%.

Lead technical design and deployment of AI/ML solutions for NVIDIA GeForce NOW, including real-time diagnostics, LLM chatbot, forecasting, constraint-optimized capacity allocation, anomaly detection, retention modeling and large-scale production analytics. Requires extensive software and data science experience and hands-on experience with tools such as Python, Spark, Databricks, MLflow, Kubernetes and related MLOps technologies.

Role requires characterizing and benchmarking large-scale LLM training/inference on GPU/CPU clusters, focusing on networking and communication libraries (NCCL, RDMA, RoCE, MPI). Responsibilities include profiling, developing PyTorch trace-based tools, cross-team performance analysis, and defining test plans. Requires experience with CUDA, deep learning frameworks, containers, and extensive performance evaluation experience.

NVIDIA seeks a Solutions Architect for Financial Services Capital Markets to partner with engineering, product, and sales teams, run customer proof-of-concepts, profile and optimize ML/DL models on NVIDIA GPU architectures, and build finance-focused collateral. Requires MS/PhD or equivalent experience, 5+ years as an ML/software engineer, proficiency in Python and C++, and experience with frameworks such as PyTorch, TensorFlow, JAX, Spark or Dask. Base salary range: 152,000 USD - 241,500 USD per year.

Seeking a Senior Scientist to develop LLM-based synthetic data generation (text, code, structured, multimodal) and associated SDKs within the NVIDIA NeMo ecosystem; responsibilities include building scalable data pipelines, automated quality evaluation, contributing open-source code, collaborating with model teams, and publishing research. Requires PhD or equivalent and 3+ years research experience in synthetic data/generative or multimodal ML.