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 Architect NVIDIA is seeking a Senior Architect to lead the development of software infrastructure for AI-driven scientific discovery in chemistry and materials science. The role involves shaping NVIDIA ALCHEMI and its ecosystem, translating AI research (ML interatomic potentials, generative modeling) into product direction, and engaging with internal/external stakeholders. The ideal candidate has a PhD or equivalent experience, 8+ years of AI/ML software development for chemistry/materials, strong GPU computing and ML framework experience, and expertise in scientific software architecture. | Ship | 8 |
| Technical Project Manager - Finance NVIDIA's Finance AI & Data Science team is seeking a Technical Project Manager to drive complex business-facing projects to completion, ensuring they meet business and technical requirements. The role involves understanding finance processes, managing project communications, tracking requirements, and engaging with AI/ML, data engineering, and automation elements. |
| — |
| 5 |
| Technical Marketing Engineer - Physical AI for Healthcare Technical Marketing Engineer for NVIDIA's Physical AI platform in healthcare, focusing on developer enablement, content creation, and community building for surgical robotics and medical devices. | — | 5 |
| Senior Silicon and System Product Lead NVIDIA is seeking a Senior Silicon and System Product Lead to drive the development and market launch of next-generation products, integrating silicon, software, and operations across various market segments including DL/AI. The role involves defining product targets, evaluating market needs, optimizing performance and power, and collaborating with cross-functional teams from architecture to production. | — | 5 |
| Senior Silicon and System Product Lead This role is for a Senior Silicon and System Product Lead at NVIDIA, responsible for defining, developing, and delivering next-generation products that integrate silicon, software, and operations across various market segments including DL/AI. The role involves market analysis, translating requirements to engineering, optimizing performance and power, and driving features to production. While AI is a key market segment, the role itself is product management focused on hardware and system integration, not direct AI/ML model development. | — | 5 |
| Senior Technical Marketing Engineer - EDA and Semiconductor Senior Technical Marketing Engineer at NVIDIA focused on EDA and Semiconductor domain. The role involves creating technical content, benchmarking EDA workflows on NVIDIA platforms, and enabling developers and researchers. Requires experience in software development, technical evangelism, EDA/Semiconductor workflows, and knowledge of AI/ML techniques and parallel programming. | — | 5 |
| Technical Marketing Engineer - AI Platform Software Technical Marketing Engineer role focused on creating content and empowering developers using NVIDIA's AI platform software, specifically for deep learning training and inference. The role involves collaborating with engineers, building training materials, improving documentation, and providing code guidelines. | — | 5 |
| Senior Technical Marketing Engineer - GPU and System Architecture Senior Technical Marketing Engineer at NVIDIA focused on GPU and system architecture for AI inference and training. The role involves creating technical content, engaging with customers, and analyzing market trends to showcase NVIDIA's AI infrastructure solutions. | — | 5 |
| Data Center Portfolio Manager NVIDIA is seeking a Data Center Portfolio Manager to manage global data center capacity inventory, aligning site selection and capacity tracking with company demand. This role involves leading data center builds, managing relationships with infrastructure providers, and assessing market availability against delivery schedules. | — | 0 |