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 Software Manager, Agentic AI Senior Software Manager to lead a team building agentic AI solutions for chip design workflows, involving coding agents, custom skills, and integration with enterprise systems. The role requires technical leadership in designing, developing, and deploying AI applications using LLMs and agentic systems, including model customization (fine-tuning, RL, instruction tuning) and overseeing retrieval/generation algorithms for enterprise data. Collaboration with cross-functional teams and ensuring high technical standards for evaluation, guardrails, and monitoring are key. | AgentPost-train | 9 |
| Senior Software Engineer - Agentic AI Senior Software Engineer role focused on leading Agentic AI solutions, including sophisticated AI agents and fine-tuning, integrating them with enterprise production systems. The role involves designing, developing, and deploying AI applications using LLMs, Agentic frameworks, and optimizing retrieval/generation algorithms for enterprise data (text, code, images) to build advanced AI applications for engineering assistants and multi-turn, multi-modal dialogue systems, ultimately solving complex problems in chip design. |
| AgentPost-train |
| 9 |
| Senior Research Engineer - AI Coding Tools Senior Research Engineer at NVIDIA focused on building and improving AI coding agents, fine-tuning code LLMs, designing evaluations, and developing interfaces for AI agents to interact with NVIDIA's developer tools. The role involves shipping novel agents and features, contributing to benchmarks, and generating synthetic data for AI-for-code applications. | AgentPost-train | 9 |
| Principal Engineer - AI Agents and Systems Principal Engineer to lead the deployment of advanced AI agent frameworks and local runtimes on Windows and NVIDIA GPUs, focusing on open-source agents, local inference, privacy, and security for consumer PCs. | AgentServe | 9 |
| Senior Software Engineer - Agentic Memory Senior Software Engineer role focused on developing and researching agentic memory systems, including designing benchmarks, generating synthetic data, running experiments, and contributing to open-source evaluation tools. The role involves partnering with other NVIDIA teams deploying agents and advancing the state of the art in agentic memory evaluation. | AgentEval Gate | 9 |
| Principal Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles Principal Perception Engineer at NVIDIA for Autonomous Vehicles, focusing on designing and productizing next-generation 3D obstacle perception stacks using deep learning, transformers, and multi-modal techniques. The role involves technical leadership, hands-on algorithm development, production-grade model development, data strategy, and collaboration with safety and systems teams for large-scale deployment. | AgentData | 9 |
| Lead Principal Engineer, Enterprise Agentic AI Platform Lead Principal Engineer for Enterprise Agentic AI Platform at NVIDIA, focusing on building and scaling production-grade agentic AI systems, including multi-agent orchestration, memory systems, and evaluation pipelines. Requires deep expertise in distributed systems, Kubernetes, GPU inference, and hands-on coding in Python/Go. | AgentServe | 9 |
| Senior Manager, Engineering - Enterprise AI and Automation Senior Engineering Manager to lead the strategy and execution for NVIDIA’s agentic developer platform, focusing on building, evaluating, and improving autonomous agents. The role involves identifying gaps, driving POCs, operationalizing approaches into reusable components, and establishing governance and safety mechanisms to scale autonomous systems within NVIDIA. | AgentServe | 9 |
| Distinguished Engineer – High Performance AI Distinguished Engineer role focused on building groundbreaking agentic AI systems for the CUDA ecosystem, encompassing multi-agent runtimes, orchestration, data/evaluation pipelines, training/inference stacks, and GPU-accelerated execution. The role involves defining technical strategy, co-designing solutions with hardware/software teams, developing evaluation frameworks, and driving architecture across the AI stack. | AgentServe | 9 |
| Distinguished Engineer - Wireless Infrastructure NVIDIA is seeking a Distinguished Engineer to lead the technology strategy for next-generation wireless infrastructure, focusing on AI-RAN and Agentic Core. The role involves applying AI/ML to 6G RAN functions, transforming the wireless core into an agentic AI-based architecture, and driving rapid prototyping of GPU-accelerated platforms. Responsibilities include system architecture, design, development, and performance optimization for AI-for-RAN software stacks, as well as driving new applications in Integrated Sensing and Communications (ISAC) and Physical AI at the Edge. The position requires deep expertise in AI/ML, communication systems, and significant industry experience. | AgentData | 8 |
| Senior Applied AI Engineer, Product Simulation Senior Applied AI Engineer at NVIDIA to lead the rebuild of a silicon productization toolchain around AI. The role involves building agentic systems to demystify chip feature interactions, integrating AI tools into an agent harness, and leading eval-driven development for applied AI in production. | Agent | 8 |
| Senior Software Engineer, Agentic Engineering Senior Software Engineer to build agentic workflows for code generation, testing, and tuning within NVIDIA's frameworks and compilers. The role involves partnering with internal teams to develop and integrate AI agents into engineering processes, focusing on multi-agent orchestration and autonomous loops. | Agent | 8 |
| Senior Applied AI and AI Infrastructure Engineer - Chip Design and DFX Senior Engineer focused on Applied AI and AI Infrastructure for Chip Design and DFX at NVIDIA. The role involves building and managing deployment cycles for ML & Gen AI projects, establishing robust AI infrastructure, and applying AI methods to solve complex problems in Design For Test. Requires expertise in agents, multi-agentic ecosystems, SQL, ETL, data modeling, cloud platforms, and strong programming skills in Python/C++. | AgentServe | 8 |
| Applied AI Engineer - VLSI Design NVIDIA is seeking an Applied AI Engineer to develop and deploy AI agents leveraging LLMs to solve complex problems in VLSI design. The role involves designing and building infrastructure for LLM-powered engineering assistants and multi-turn dialogue systems, fine-tuning models, and integrating them with CAD flows. | Agent | 8 |
| Senior ASIC AI Engineer Develop AI powered methodologies and Agents to generate micro-architecture, RTL, and physical design starting with specification, using AI agents to process large data and existing codebase to generate skills that can be widely used. Evaluate latest Multi-agent collaboration frameworks and apply them to generate area/power/timing/functionally accurate designs for memory system units in the GPU. | Agent | 8 |
| Principal Machine Learning Engineer, Accelerated Apache Spark This role focuses on applying ML/AI to optimize and accelerate Apache Spark workloads on NVIDIA GPUs, involving performance prediction, adaptive systems, and developing AI agents for system issue resolution and optimization. The role requires significant experience in ML/DL solution design, productionization, and large-scale data processing platforms like Spark, with a focus on LLM/GenAI, reinforcement learning, and adaptive ML systems. | AgentServe | 8 |
| Senior Engineer - AI Agents and Systems Senior Engineer role focused on deploying advanced AI agent frameworks and local runtimes to Windows and NVIDIA GeForce RTX GPUs, ensuring open-source AI agents run locally, safely, and efficiently on consumer PCs, and creating the foundation of the desktop AI operating system. | Agent | 8 |
| Senior Engineer - AI Agents and Systems Senior Engineer role focused on deploying advanced AI agent frameworks and local runtimes to Windows and NVIDIA GeForce RTX GPUs, ensuring open-source AI agents run locally, safely, and efficiently on consumer PCs. The role involves leading development for the foundation of the desktop AI operating system by combining local inference with robust privacy routers and sandboxed execution. | Agent | 8 |
| Manager, Solutions Architecture - Global Partner Team Manager of Solutions Architecture for NVIDIA's Global Partner Team, focusing on leading technical engagements with GSIs and AI consulting firms. The role involves building and scaling Agentic AI services, providing architectural oversight for complex AI workflows, and collaborating with product and engineering teams. Requires deep technical expertise in Generative/Agentic AI, RAG, LLM orchestration, and AI infrastructure. | Agent | 8 |
| Senior Applied Machine Learning Engineer - VLSI Design NVIDIA is seeking a Senior Applied Machine Learning Engineer to build AI-driven software systems for circuit design, combining automation algorithms, DL models, and agentic workflows. The role involves working on pre-silicon and post-silicon hardware design data, circuit optimization, and AI systems for EDA/design automation, translating requirements into AI/ML and agentic system problems, and testing/releasing models and AI systems. | AgentData | 8 |
| Applied Machine Learning Engineer, Circuit Design - New College Grad 2026 NVIDIA is seeking an Applied Machine Learning Engineer for their Circuit Design team, focusing on building AI-driven software systems that combine automation algorithms, DL models, and agentic workflows to accelerate end-to-end circuit design. The role involves working with hardware design data, circuit optimization, and developing AI/ML solutions for EDA, with a focus on agent-driven design exploration and optimization. | Agent | 8 |
| Senior AI-Native Systems Software Engineer, TensorRT Senior engineer to architect and build an AI-native framework using AI agents for software development, focusing on scaling, performance optimization, and integrating SOTA models for inference. | AgentServe | 8 |
| Senior Staff Software Engineer - Agentic Automation Senior Staff Software Engineer to own engineering efforts for NVIDIA enterprise systems, transforming support into AI-infused automated resolution systems using LLM-based agents, tool calling, RAG, and orchestration frameworks. Requires full-stack experience, strong systems thinking, and incident management skills. | Agent | 8 |
| Senior Integration Engineer - Autonomous Vehicles NVIDIA is seeking a Senior Integration Engineer to work on their end-to-end autonomous driving application, focusing on integrating modular software components and optimizing performance on heterogeneous hardware architectures. The role involves defining software architecture for L2/L3/L4 autonomous driving solutions, performing in-vehicle and simulation testing, and developing efficient C++ code using CUDA. | Agent | 8 |
| Senior Integration Engineer - Autonomous Vehicles Senior Integration Engineer for NVIDIA's end-to-end autonomous driving application, focusing on integrating software components, optimizing performance, and developing efficient C++ code on heterogeneous hardware architectures (including GPUs) for L2/L3/L4 autonomous driving solutions. | AgentServe | 8 |
| Principal Software Engineer - Enterprise AI Platform Principal Software Engineer to lead security foundations for autonomous, self-evolving agents in an enterprise setting. This role involves defining security requirements, designing scalable architectures with guardrails, implementing isolation and access controls, building secure data access pathways, establishing observability and auditing, and operating a continuous evaluation framework for agent behavior. The goal is to enable developer velocity while ensuring robust safety and security for agents that generate and execute code and access data. | Agent | 8 |
| AI Chip Design Engineer - New College Grad 2026 NVIDIA is seeking an AI Chip Design Engineer to develop and integrate AI capabilities into verification tasks. The role involves creating AI agents to enhance productivity, building production infrastructure for these agents, and optimizing algorithms for enterprise data. Requires strong proficiency in LLM libraries, GPU/CPU architectures, and HW verification methodologies. | Agent | 8 |
| Senior Design Automation Engineer, Applied AI NVIDIA is seeking an Applied AI Engineer to lead end-to-end solution development for timing and constraint analysis workflows in VLSI/ASIC design. The role involves data generation, model training, orchestration, and building autonomous agents that interact with timing tools. The engineer will develop AI-driven solutions, integrate data sources, implement scalable orchestration, and build interpretable AI pipelines using GNNs, LLMs, and reasoning engines. Experience with Python, PyTorch/TensorFlow, graph/agentic AI frameworks, and EDA tools is required. | AgentData | 8 |
| Senior Product Architect, Storage NVIDIA is seeking a Senior Product Architect to design and validate AI storage infrastructure, focusing on optimizing systems for large-scale foundation model training, disaggregated inference, and agentic AI pipelines. The role involves architecting end-to-end reference architectures, defining system-level architectures, and collaborating with partners and customers to deliver proof-of-concepts. | AgentServe | 8 |
| Senior Software Engineer, Real-Time AI and Rendering - Holoscan SDK Senior Software Engineer at NVIDIA to build the future of real-time AI for sensor-driven applications using the Holoscan Platform. The role involves architecting APIs, prototyping GPU-accelerated algorithms for computer vision, imaging, sensor fusion, and low-latency rendering, and integrating generative models and multimodal foundation models into real-time pipelines. Focus on enabling GPU-resident generative methods for perception, simulation, and robotics. | AgentServe | 8 |
| Senior Software Engineer, AI Developer Tools Senior Software Engineer to craft intuitive AI developer tools that make advanced AI workflows accessible and scalable across diverse accelerated infrastructure. | Agent | 7 |
| AI Automation Engineer, Security NVIDIA is seeking an AI Automation Engineer to build AI-native, agent-enabled security organization. The role involves developing AI agents for security programs, building and maintaining infrastructure for agent workflows, translating business needs into agent solutions, architecting integrations for agents to interact with data systems, owning ETL and agentic data pipelines, and ensuring data security and governance. The engineer will also monitor and optimize data infrastructure, pipelines, and agents, and mentor other engineers. | AgentData | 7 |
| Senior Software Engineer, AI Speed Infrastructure Senior Software Engineer to build AI speed infrastructure for Tegra, focusing on a fast build, test, and validation system. The role involves designing AI-native, self-healing CI workflows, integrating reasoning agents for failure triage and automation, and optimizing the entire code-to-merge pipeline for C/C++ codebases, with a strong emphasis on performance engineering and developer experience. | Agent | 7 |
| Senior Software Engineer, Mapping - Autonomous Vehicles NVIDIA is seeking a Senior Software Engineer for their Autonomous Vehicles mapping team. The role involves designing and developing algorithms for map-based driving products, including architecture design, efficient C++ development, and integrating algorithmic solutions. Key responsibilities include researching and developing transformer-based models for graphs, implementing evaluation frameworks for LLMs, fine-tuning pre-trained models, and building automated map content analysis and map-building workflows. The role requires a background in computer vision, 3D geometry, and machine learning, with heavy AI tool usage for development, and strong prompt-crafting skills. The position is focused on building AI-powered solutions for self-driving cars, with a primary focus on agentic systems for navigation and map content, and secondary involvement in model fine-tuning. | AgentPost-train | 7 |
| Lead Algorithm Engineer, Map-Perception Fusion Lead engineer for autonomous vehicle systems, focusing on fusing map and perception data to create real-time 3D world models for navigation. This role involves architecting scalable systems, advancing mapless driving capabilities, and improving scenario understanding through techniques like static obstacle modeling and occupancy grids. | Agent | 7 |
| Senior Staff Engineer, Enterprise SaaS Platform and Automation Senior Staff Engineer role focused on building agentic systems and AI-powered automation for enterprise SaaS platforms, including onboarding, support, and vendor integration. The role involves designing and implementing solutions using Python, APIs, and LLMs to reduce manual processes and improve employee productivity. | Agent | 7 |
| Senior Software Engineer - Simulation Senior Software Engineer role focused on building scalable 3D simulation software for Digital Twin and Synthetic Data Generation applications, collaborating on backend services and AI Agents for end-to-end SDG solutions. Requires strong C/C++/Python skills, 3D simulation experience, and proficiency in physics game engines and containerization tools. | Agent | 7 |
| Senior Software Engineer - Simulation Senior Software Engineer role focused on building scalable 3D simulation software for Digital Twin and Synthetic Data Generation applications, collaborating with teams to build backend services and AI Agents for end-to-end SDG solutions. Requires strong programming skills in C/C++, Python, and experience with 3D simulation and physics engines. | Agent | 7 |
| Senior Staff Software Engineer - AI Agent Platform Senior Staff Software Engineer to build and scale the infrastructure for NVIDIA's AI agent ecosystem, focusing on platform services for the full agent lifecycle, Kubernetes execution environments, CI/CD pipelines, and AI data platform components. | Agent | 7 |
| Senior Sensor Fusion Engineer - Autonomous Vehicles NVIDIA is seeking a Senior Sensor Fusion Engineer for their Autonomous Vehicles team. The role involves developing core functionality for autonomous driving by fusing perception DNN and map signals to generate a real-time 3D world model. Responsibilities include enabling L3 autonomy, building fused obstacle and occupancy grids, and providing technical leadership. The position requires significant experience in AV or robotics, with a focus on sensor fusion and real-time systems. | Agent | 7 |
| Principal Software Engineer - DGX Cloud Principal Software Engineer for NVIDIA's DGX Cloud team, focusing on building and scaling foundational systems for high-performance GPU infrastructure. The role involves leading the development of next-generation APIs, state management, and workflow orchestration systems to automate fleet lifecycle operations at scale, integrating AI schedulers and observability tools. | AgentServe | 7 |
| Senior ASIC Infrastructure Engineer Senior ASIC Infrastructure Engineer at NVIDIA, focusing on defining and deploying AI/ML applications to enhance chip design, debug, and verification processes. The role involves collaborating with hardware design teams, architecting AI/LLM solutions, and staying updated on AI/ML advancements. | Agent | 7 |
| Senior Formal Verification Engineer, GPU Kernels Senior Formal Verification Engineer for GPU Kernels at NVIDIA. The role focuses on developing verification tools that combine formal methods and AI to ensure the correctness of performance-critical GPU kernels, enabling their use in safety-critical systems. Responsibilities include designing and implementing new verification approaches, integrating AI into formal verification workflows, and building agents for task automation. | AgentServe | 7 |
| Principal Cyber Security Engineer - Agentic Identity and Security This Principal Cyber Security Engineer role focuses on building core agentic identity and security capabilities for AI agents within NVIDIA's internal ecosystem. The role involves architecting and prototyping solutions for agent use cases across various environments, developing reusable tools and APIs, and collaborating with multiple teams to ensure secure and reliable agent operations. It requires strong software engineering, security, and identity expertise, with an emphasis on practical, production-ready systems. | Agent | 7 |
| Principal Software Engineering Lead — Enterprise Data Platforms Principal Software Engineer to lead engineering efforts in transforming enterprise systems with AI-infused automated solutions. This role involves architecting and delivering enterprise-grade AI applications and workflow platforms, building resilient end-to-end systems, and developing data integration capabilities for AI applications. Key responsibilities include building agentic workflow automation, defining agent interactions, and supporting orchestration patterns using frameworks like LangChain and LangGraph, while also operationalizing NVIDIA AI technologies. | AgentData | 7 |
| Senior Software Systems Engineer, L3 and L4 - Autonomous Driving Senior Software Systems Engineer role focused on L3 and L4 autonomous driving products at NVIDIA. Responsibilities include developing use cases, system requirements, performance analysis, formulating test cases, and defining test strategies. Requires strong experience in safety-critical systems engineering, SOTIF, functional safety, and understanding trade-offs between deep learning and classical approaches. | AgentServe | 7 |
| Senior Software Engineer, Parking - Autonomous Vehicles Senior Software Engineer for NVIDIA's Autonomous Vehicles team, focusing on building groundbreaking technology at the intersection of automotive and robotics for parking and driving features. The role involves designing and implementing planning algorithms in C++ and supporting deployment on test vehicles. | Agent | 7 |
| Autonomous Agent Engineer NVIDIA is seeking an Autonomous Agent Engineer to build the infrastructure for secure and autonomous AI agent execution. This role involves designing and shipping SDKs, CLIs, and developer tooling for sandboxed compute environments, state management, and security boundaries for AI agents. The position requires strong systems engineering skills, experience with distributed systems and developer platforms, and proficiency in languages like Python or Go. Experience with agentic AI systems, sandboxing technologies, and security fundamentals is highly desirable. | AgentServe | 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 |
| 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 |