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 AI Algorithms Software Engineer Senior AI Engineer at NVIDIA focused on developing and deploying foundation model applications (LLMs, VLMs, multi-modal) for manufacturing AI platforms, including computer vision, video understanding, and anomaly detection. The role involves technical leadership, co-development with customers, and driving research from concept to production. | ShipPost-train | 9 |
| AI Computing Software Development Engineer, TensorRT-LLM NVIDIA is seeking a Software Development Engineer for its TensorRT-LLM team to develop and optimize LLM inference software for various platforms. The role involves performance analysis, tuning, and contributing to the architecture and hardware design, with a focus on scaling inference capabilities. |
| Serve |
| 9 |
| SOC AI Application Engineer — AI Services, Agents and Knowledge Systems NVIDIA is seeking an AI Engineer to build AI application-layer services for SOC design automation, including assistants, retrieval, Q&A, workflow automation, and AI agents. The role involves designing, implementing, and operating LLM-backed services, building RAG and knowledge systems, applying agent and orchestration patterns, improving developer experience with AI-assisted coding, and owning reliability and evaluation. | AgentServe | 8 |
| Developer Technology Engineer, HPC and AI NVIDIA is seeking a Developer Technology Engineer to research, develop, and optimize deep learning, machine learning, and HPC workloads on NVIDIA's accelerated computing platform. The role involves working with customers and internal teams to address real-world use cases and performance challenges. | Serve | 7 |