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 Math Libraries Engineer – AI and HPC Senior engineer to join NVIDIA's Math Libraries team, focusing on kernel generation for AI and HPC, specifically matrix operations, JITing, and fusions. The role involves designing and implementing high-performance numerical dense linear algebra software on GPUs, providing technical leadership, and collaborating with product management. | Serve | 7 |
| Senior Manager, Software Engineering - Agentic Automation Senior Manager, Software Engineering at NVIDIA focused on leading a team to design and deliver enterprise-grade agentic AI solutions, including LLM-based agents, RAG, and orchestration, with a strong emphasis on full-stack ownership, automation, and roadmap definition. | AgentServe |
| 7 |
| Senior Manager, GPU Cloud Infrastructure - GeForce NOW Senior Manager to lead the design, scaling, and operations of high-performance networking for GPU-based cloud infrastructure, critical for cloud gaming, AI/ML training, and inference platforms. | Serve | 7 |
| Principal Software Engineer — Agentic AI Applications and Foundations Principal Software Engineer to lead the development and hardening of agentic AI applications and infrastructure within NVIDIA's Enterprise AI team. This role focuses on improving reliability, performance, and scalability of AI products, designing resilient systems, establishing operational excellence, and building reusable capabilities for agent domains. The position requires deep expertise in production software systems, full-stack development, and modern AI application patterns, with a strong emphasis on turning prototypes into mature, well-operated production systems. | Agent | 7 |
| Senior Staff AI Platform Engineer Senior Staff AI Platform Engineer at NVIDIA responsible for building, supporting, and maintaining AI-native infrastructure for enterprise products. This role involves architecting and scaling LLM/ML infrastructure, designing observability for AI models, developing automation, and troubleshooting complex distributed systems. The engineer will also drive AI-assisted engineering practices and partner with product teams to deliver scalable AI solutions. | ServeAgent | 7 |
| Senior Manager, Machine Learning Ops Engineering - Automotive Senior Manager, Machine Learning Ops Engineering - Automotive at NVIDIA, leading the development and operation of large-scale data and ML pipelines for autonomous driving, focusing on data ingestion, processing, and validation for training and evaluation datasets. | DataEval Gate | 7 |
| Senior Software Engineer, Deep Learning Inference - Automotive Safety Senior Software Engineer focused on developing high-performance deep learning inference software for safety-critical automotive applications using C++. The role involves integrating hardware functionalities into TensorRT, optimizing performance, and ensuring rigorous safety validation and documentation. | Serve | 7 |
| Senior Software Engineer, Deep Learning Inference - TensorRT NVIDIA is seeking a Senior Software Engineer to develop and scale a state-of-the-art inference framework for accelerating Deep Learning models, particularly LLMs, on NVIDIA GPUs using TensorRT. The role involves crafting inferencing software, developing components of TensorRT, and optimizing the deployment of trained models using C++ and Python. | Serve | 7 |
| Senior MLOps Engineer, GenAI Framework This role focuses on building and maintaining CI/CD pipelines and release processes for NVIDIA's GenAI frameworks (Megatron-LM, NeMo). It involves implementing scalable DevOps solutions, managing infrastructure (Kubernetes, Docker, Slurm), automating tasks for research and development cycles, and developing quality control measures. The goal is to enable efficient work for GenAI software engineers, DL algorithm engineers, and research scientists, optimizing performance and ensuring high-quality software delivery. | Serve | 7 |
| Senior QA Automation Engineer — Network AI Platform Senior QA Automation Engineer for NVIDIA's Network AI platform team, focusing on testing AI/ML-powered network solutions, including AI algorithms and multi-cloud integrations for enterprise-scale network monitoring and automation. Requires strong Python automation, networking knowledge, and experience with API and system testing. | Ship | 7 |
| Senior Systems Performance Engineer Senior Systems Performance Engineer at NVIDIA focused on validating and optimizing GPU accelerated computing products, specifically for Deep Learning/AI applications. The role involves system architecture, performance modeling, and developing stress/performance testing strategies for ML/LLM workloads. | Serve | 7 |
| Manager, Solution Engineering for NVIDIA Experience Manager for a solution engineering team focused on customer support of NVIDIA software products (AI Enterprise, Omniverse, vGPU). The team will use AI to triage customer issues, identify solutions, and improve processes. Requires leadership, problem-solving, and AI/ML expertise. | AgentServe | 7 |
| Senior Software Engineer - NIM Platform SDK and Framework Senior Software Engineer to own and evolve the core NIM Platform SDK and microservice framework, powering NVIDIA Inferencing Microservices (NIM). Focus on high-performance systems programming, multi-cloud abstractions, and API framework development for production-ready AI inference at scale. | Serve | 7 |
| Senior Architect, AI Solutions Engineering This role focuses on architecting and scaling internal AI solutions for NVIDIA's cloud infrastructure, managing tools for AI development, identifying performance bottlenecks, and guiding engineers in solving complex AI-related problems. The role involves a mix of building AI agentic workflows and optimizing the underlying inference infrastructure. | AgentServe | 7 |
| Senior Software R&D Engineer, Digital Logic Synthesis NVIDIA is seeking an EDA Software R&D Engineer to develop internal EDA tools by fusing advances in parallel computing, machine learning, and novel algorithms in C++. The role involves inventing and developing new algorithms for RTL synthesis, digital logic optimization, and physical-aware synthesis techniques, with a focus on prototyping and evaluating ML methods to guide optimization decisions and integrating successful approaches into production. | Serve | 7 |
| Senior ASIC Methodology Engineer - LPU Division This role focuses on inventing and pioneering AI-driven hardware development methodologies for ASICs, aiming to improve predictability, convergence, and turnaround time in the ASIC development lifecycle. The engineer will leverage data to enable AI models and analytics, establish metrics for improvement, share best practices, and track advances in AI, EDA, and hardware design research. | Serve | 7 |
| 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 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 |