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.
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 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 QA Automation Engineer, Network Simulation Platform Senior QA Automation Engineer role focused on testing NVIDIA's network simulation platform. Responsibilities include simulating and testing network architectures, designing and implementing end-to-end tests, and developing automated tests and framework APIs in Python. Requires strong networking knowledge, Python/Linux Bash scripting skills, and 5+ years of QA/networking experience. | — | 0 |
| Senior Firmware Engineer NVIDIA is seeking a Senior Firmware Engineer with 5+ years of C/C++ experience to design and implement new features for NIC/DPU firmware. The role involves working on new standards, launching hardware, and collaborating with various teams throughout the product lifecycle, from pre-silicon to post-launch. | — | 0 |
| Software Verification Engineer Software Verification Engineer with a compute infrastructure background to work on NVIDIA Storage solutions. Responsibilities include building automated verification environments, improving product quality, and driving improvements for performance, quality, and stability. |
| — |
| 0 |
| Senior C/C++ Software Engineer Senior C/C++ Software Engineer for NVIDIA Networking Unit, focusing on NIC/DPU firmware design and implementation, new standards, and product launches from pre-silicon to full lifecycle. Requires strong C/C++ skills, embedded systems experience, and networking expertise. | — | 0 |