NVIDIA
- HQ
- California, US
- Founded
- 1993
- Size
- 35,000+
- Website
- nvidia.com
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 Localization Engineer - Autonomous Vehicles Senior Localization Engineer for Autonomous Vehicles at NVIDIA, focusing on building robust map-enhanced autonomous driving solutions with ASIL safety requirements. The role involves localizing to map data for precise environmental modeling, ensuring algorithms perform across diverse data and conditions, and writing efficient C++ code using CUDA for GPGPU programming, with a focus on productizing software for automotive standards. | Agent | 7 |
| Senior AI Developer Technology Engineer, Financial Sector Senior AI Developer Technology Engineer focused on optimizing AI and HPC workloads for financial markets on NVIDIA's computing platforms. This role involves research, development, performance analysis, and collaboration with the developer community and internal teams to influence hardware and software design. | Serve |
| 7 |
| Neural Graphics Engineer NVIDIA is seeking a Neural Graphics Engineer to work on technologies at the intersection of AI and real-time rendering. The role involves implementing and optimizing neural graphics techniques, prototyping neural rendering and generative 3D approaches, and contributing to the graphics software stack. Experience with C++, Python, computer graphics, and machine learning is required, with a preference for hands-on experience in neural rendering or generative AI for 3D content. | ServeData | 7 |
| Platform Architecture Engineer, GeForce NOW This role focuses on architecting and optimizing cloud infrastructure for AI workloads, specifically for the GeForce NOW service. The engineer will perform deep performance and power analysis of GPU/CPU microarchitecture for AI inference, deploy and optimize AI/gaming kernels, and build models to guide platform decisions balancing performance, power, and cost. The role requires strong programming skills and experience with AI models and performance analysis methodologies. | Serve | 7 |
| Senior Applications Software Engineer, Planning and Control Senior Software Engineer role focused on shaping application architecture for autonomous vehicles, integrating and adapting NVIDIA solutions, and refining planning and control systems. Requires strong background in control theory, motion planning, deep learning, and C++/Python development. | Agent | 7 |
| Senior Deep Learning Kernel Software Performance Architect Senior Kernel Performance Architect for Deep Learning Software at NVIDIA, focusing on crafting and prototyping GPU-accelerated system architectures to optimize deep learning and data analytics workloads. Requires expertise in kernel performance, math libraries, GPU computing, and parallel programming. | Serve | 7 |
| Senior Robotics Systems Software Engineer - ROS Senior Software Engineer on the Robotics Team at NVIDIA, focusing on the NVIDIA Isaac ROS platform. The role involves designing and developing software frameworks for robots to perceive and interact with the world using learned policies, improving the ROS ecosystem, and debugging/optimizing ROS-based autonomy stacks. Experience with ROS, distributed systems, embedded software, C/C++, and deep learning applications for physical agents is required. | AgentData | 7 |
| Senior Research Scientist, Security and Privacy NVIDIA is seeking security and privacy researchers to develop secure, private, and safe AI systems. The role involves understanding vulnerabilities, developing hardware/software/algorithms for trustworthy AI, collaborating across teams, and publishing research. Requires a Ph.D. in a relevant field, expertise in security areas, and coding skills. | Post-train | 7 |
| Senior Architecture Energy Modeling Engineer NVIDIA is seeking a Senior Architecture Energy Modeling Engineer to research, develop, and deploy methodologies for energy-efficient products. This role involves building Machine Learning based power models for GPUs, CPUs, and SOCs, collaborating with various engineering teams, and integrating power models into simulation platforms to analyze and reduce power consumption. | Data | 7 |