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 |
|---|---|---|
| Solutions Architect - DevOps NVIDIA is seeking a Senior Cloud Infrastructure and DevOps Solutions Architect to manage and optimize large-scale AI/HPC infrastructure, focusing on Kubernetes, automation, monitoring, and customer engagement for AI operational projects. | Serve | 7 |
| Senior Solution Architect, AI Compute Engineer - NVIS Senior Solution Architect, AI Compute Engineer at NVIDIA, focusing on deploying, managing, and maintaining AI/HPC infrastructure in Linux environments for customers. The role involves customer interaction, system design, automation, and providing feedback to internal teams. Requires strong Linux system administration, scripting, and cluster management skills, with a preference for experience in distributed computing, high-speed networking, automation tools, and Kubernetes for AI/ML workloads. | Serve |
| 7 |
| Solutions Architect, Networking Ethernet This role focuses on building and operating networking infrastructure for AI/HPC systems, supporting operational aspects, and engaging in the full lifecycle of services. It requires strong networking fundamentals, automation skills, and experience with large-scale deployments. | — | 5 |
| Senior Solutions Architect Networking Ethernet - NVIS NVIDIA is seeking a Senior Solutions Architect for Networking Ethernet to join its NVIDIA Infrastructure Specialist Team. This role involves building and supporting AI/HPC infrastructure for customers, focusing on networking, system design, and automation. The architect will engage with customers and internal teams to define and implement large-scale networking projects, ensuring the operational health and reliability of AI clusters. | — | 5 |