Currently tracking 440 active AI roles, down 53% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$575k (avg $262k).
NVIDIA currently has 496 active AI-related job listings. The majority of these roles, 52%, are focused on serving infrastructure, with agents representing another significant segment at 23%. Engineering is the dominant function, with 441 positions. The United States leads hiring geographies with 287 roles, followed by China with 64. Frequent tech tags include model_serving, inference_infra, and agent_orchestration, suggesting a focus on deployment and management of AI models. Over the last 30 days, NVIDIA posted 214 new AI roles, a 27% decrease compared to the previous 30-day period.
NVIDIA currently has 487 active AI-related roles in our index. The most common open titles are: Deep Learning Performance Architect (4), Senior Deep Learning Performance Architect (4), AI Research Scientist (3), Developer Technology Engineer - AI (3), Manager, Deep Learning Algorithms (3). Most positions are in Engineering and Research.
NVIDIA's active AI hiring is concentrated in: serving infrastructure (54%), agents (21%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
NVIDIA is hiring AI talent in: United States (286 roles), China (59 roles), Israel (50 roles), Germany (21 roles).
Job postings at NVIDIA most frequently reference: model serving, inference infra, agent orchestration, llm observability, multimodal.
In the past 30 days, NVIDIA has posted 110 new AI-related roles. That is a -50% change versus the prior 30 days (218 → 110).
| Title | Stage | AI score |
|---|---|---|
| Senior Deep Learning Researcher, Diffusion Senior Deep Learning Researcher at NVIDIA focusing on diffusion-based technologies and multi-modal learning. The role involves inventing and building new techniques, combining diffusion models with LLMs, and publishing research findings. It requires a PhD, research experience, and a strong publication record in leading AI conferences and journals. | PretrainPost-train | 10 |
| Senior Data Scientist - Security and Networking Research Senior Data Scientist role focused on AI cybersecurity, developing agentic AI systems, optimizing models, and leveraging data pipelines for NVIDIA's networking and data center security products. | Agent |
| 9 |
| AI Workload and Networking Research Architect Research Architect role focused on optimizing AI workloads and networking infrastructure for NVIDIA's AI computing platforms, involving modeling, analysis, and influencing future product roadmaps. | ServePost-train | 9 |
| Senior Research Scientist Research Scientist role focused on core AI research in machine learning methods for efficient, reliable, and adaptive AI systems. The role involves developing new approaches for efficient model training, reasoning models, retrieval-based AI systems, and agentic learning, with a strong emphasis on experimental validation and publication, and potential translation into practical NVIDIA AI systems. | PretrainAgent | 9 |
| Applied Research PhD Student, Foundation Models for Materials Science NVIDIA is seeking a PhD student for joint research at Bar-Ilan University on next-generation Foundation Models for Materials Science. The role involves developing novel multi-modal foundation models, leveraging large-scale data, representation learning, and uncertainty estimation, with a focus on publishing results in top-tier venues. | PretrainPost-train | 9 |
| Senior Applied Researcher, AI Agentic Systems NVIDIA is seeking a Senior Applied Researcher to build and deploy end-to-end agentic systems that integrate LLMs with domain tools to enhance NVIDIA's products, specifically targeting HW and SW engineering workflows. The role involves developing complex agentic systems with multi-agent coordination, long-horizon reasoning, planning frameworks, and RAG pipelines, and establishing evaluation backbones for iteration and improvement. | Agent | 9 |
| Senior Applied AI Researcher, Digital Biology Senior Applied AI Researcher at NVIDIA Israel focusing on deep learning for biology. The role involves developing foundational, generative, and agentic AI models, including LLMs and multimodal systems, for biological data and digital twin applications in healthcare. Responsibilities include research, implementation, evaluation, and collaboration in an interdisciplinary team. | AgentPost-train | 9 |
| Senior Software Research Architect, AI Networking NVIDIA is seeking a Senior Software Research Architect to improve the framework for large-scale LLM learning and prediction. This role focuses on designing and optimizing systems for generative AI workloads on advanced GPU clusters, specifically leveraging the NVIDIA Spectrum-X Networking Platform to define deployment and scaling strategies. The architect will work on inter-node communication, compute scheduling, and system-level optimization, collaborating with engineers and researchers to enable generative AI technologies in real-world applications. | ServePretrain | 9 |
| Senior Deep Learning Researcher, Diffusion Senior Deep Learning Researcher at NVIDIA focusing on diffusion-based technologies and multi-modality. The role involves inventing and building new techniques, publishing findings, and contributing to NVIDIA's AI enterprise software. Requires a PhD, research experience, and publications in top-tier conferences. Experience with image/video understanding and LLMs is essential. | PretrainPost-train | 9 |
| Software Architect, Advanced Development Research role focused on the intersection of Networking, Security, and Communications, with a specific emphasis on applying AI to these domains. The role involves technical leadership, architecture design, SDK development for new hardware, and implementing services. A key aspect is working with AI-powered networking machines. | Serve | 7 |