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 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 |
| 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 |
| Senior Software Engineer, Generative AI Systems Senior Software Engineer role focused on building and scaling Generative AI systems, including LLMs, agentic AI, and RAG pipelines. Responsibilities include designing and developing infrastructure for ML training and inference, creating evaluation frameworks, optimizing RAG pipelines, and building backend services and APIs. Requires strong software engineering fundamentals, experience with ML systems, distributed infrastructure, and GenAI workflows. | AgentServe | 8 |
| Senior AI Tools Engineer, SRE Operations - GeForce NOW This role focuses on building and deploying AI/ML tools, specifically LLM- and Agent-based systems, to analyze production data for a global service (GeForce Now). The goal is to automate root cause analysis for incidents and predict future service trends, requiring strong data pipeline management and expertise in AI frameworks. | AgentData | 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 |
| Director, AI Enablement Director of AI Enablement at NVIDIA, responsible for developing and implementing an AI enablement roadmap to accelerate AI adoption and agentic developments across various internal workflows. The role focuses on building tools, services, and blueprints for NVIDIA AI developers, optimizing AI development, and transforming NVIDIA into an AI-native company. | 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, 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, Test and Tools Development Engineering Manager for a test and tools development engineering team focused on building autonomous systems and AI-powered quality infrastructure for Omniverse. The role involves leading a team to design agentic test pipelines, multi-agent orchestration for test generation, failure triage, and establishing evaluation frameworks for AI-generated outputs. | Agent | 8 |
| Senior AI Engineer, Agents and Developer Workflows Senior AI Engineer role focused on developing and deploying AI agents and LLM-based solutions to automate software engineering workflows within NVIDIA. The role involves creating tools to improve developer efficiency, accelerate feedback loops, and enhance release reliability, with a focus on predictive modeling for risk identification and leveraging RAG and fine-tuning techniques. | Agent | 8 |
| Senior Data and AI Solutions Engineer Senior Data and AI Solutions Engineer at NVIDIA to partner with engineering teams, transform data, BI, automation, and agentic AI into measurable engineering productivity gains. Develop and deploy production-grade AI and data solutions, including agentic systems and RAG pipelines, from concept to deployment. | AgentServe | 8 |
| Machine Learning Intern - AI Agents Conversational AI NVIDIA is seeking a Machine Learning Intern to support the development of AI agents for workflow automation and intelligent assistants. The role involves working on conversational AI, LLM applications, RAG systems, and speech AI workflows, building prototypes with NVIDIA AI technologies, and assisting with evaluation and deployment. The ideal candidate is pursuing a degree in a related field, has experience with machine learning, strong Python skills, and familiarity with Linux. | AgentServe | 8 |
| Applied AI Engineer - Silicon Co-Design Group NVIDIA is seeking an Applied AI Engineer to design, develop, and integrate AI/LLM-powered systems into their chip design and automation infrastructure. The role involves architecting and implementing solutions to enhance workflow efficiency, scalability, and intelligence, driving initiatives from concept to deployment. Requires hands-on experience building and deploying ML/AI systems or data-intensive backend services, with a focus on owning AI agents or LLM-powered workflows end-to-end. | Agent | 8 |
| Senior Software Engineer, Agentic AI Senior Software Engineer to develop core libraries for Agentic Applications, focusing on building foundational technology, scalable capabilities, reusable blocks, and high-quality libraries to accelerate developer productivity and ensure agent quality. The role involves benchmarking, identifying bottlenecks, and optimizing performance, cost, and latency for agents. Collaboration with teams on data pipelines, RAG, vector databases, and GPU-optimized workflows is expected. | Agent | 8 |
| Software Engineering Intern, AI Tools - Fall 2026 NVIDIA is seeking a Software Engineering Intern to join its AI Tools and Infrastructure team, focusing on Agentic AI. The intern will work with LLMs and orchestration frameworks to design, build, and deploy intelligent agents and AI tools, gaining exposure to the full lifecycle of agent development from conceptualization to deployment. | Agent | 8 |
| Applied AI Engineer - DFT Methodology NVIDIA is seeking an Applied AI Engineer to explore and architect generative AI solutions, including LLMs, RAGs, and Agentic AI workflows, for Design-for-Test (DFT) and VLSI problems. The role involves deploying predictive ML models for silicon lifecycle management and collaborating with VLSI/DFX teams to integrate AI solutions. Experience in applied ML for chip design and deploying generative AI for engineering use cases is required. | Agent | 8 |
| Senior GenAI Engagement Lead, Partner Platforms This role focuses on driving the technical integration of Generative AI software with enterprise partners, involving hands-on design and deployment of RAG, LLM inference, and Multi-Agent workflows. The position requires deep technical expertise in AI/ML, partner engagement, and understanding of the GenAI lifecycle, with a focus on production deployments and influencing product roadmaps. | AgentServe | 8 |
| Senior Solutions Architect, Generative AI Data Processing Senior Solutions Architect role focused on assisting customers in deploying Generative AI solutions, particularly for data processing and agentic workflows, using NVIDIA's AI technology stack. The role involves technical advisory, system design, and implementation at scale, with a strong emphasis on Deep Learning, LLMs, and GPU technologies. | AgentServe | 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 |
| SOC AI Application Engineer — AI Services, Agents and Knowledge Systems NVIDIA is seeking an AI Engineer to build and operate AI application-layer services for SOC design automation, including assistants, retrieval, Q&A, workflow automation, and AI agents. The role involves designing LLM-backed services, building RAG and knowledge systems, applying agent and orchestration patterns, improving developer experience with AI-assisted coding, and owning reliability and evaluation. Requires strong Python, experience shipping services, and hands-on use of LLM frameworks and RAG. | AgentServe | 8 |
| Director, Product Platform Retail and CPG Industries NVIDIA is seeking a Director to define and build the Retail & CPG Industries product platform. This role involves architecting and developing a platform leveraging NVIDIA's full stack, including Agentic AI and accelerated computing, to reshape digital commerce, supply chains, and intelligent stores. The platform will utilize NVIDIA Nemo microservices and Nemotron models, with a focus on Agentic AI for various business functions. The ideal candidate will have hands-on development experience with AI agents, LLMs, RAG, and distributed systems, and will collaborate with engineering teams to deliver a production-ready, scalable platform. | AgentServe | 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 Autonomous Driving Software Engineer, L4 Planning Senior engineer to build the main stack for autonomous driving, focusing on prediction, decision-making, planning, and control architecture. This includes crafting system-level safety, implementing end-to-end data-driven AV pipelines, large-scale model inference, and integrating classical and end-to-end hybrid systems for scalability from research to production. Requires 6+ years of experience in production autonomous driving systems, AI foundation models, large-scale ML systems, end-to-end driving models, and robotics/embodied AI system architecture. | AgentServe | 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 |
| Applied AI Engineer - DFT Methodology NVIDIA is seeking an Applied AI Engineer to explore and architect generative AI solutions, including LLMs, RAGs, and Agentic AI workflows, for Design-for-Test (DFT) and VLSI problems. The role involves deploying predictive ML models for silicon lifecycle management and collaborating with VLSI/DFX teams to integrate AI solutions. Experience in applied ML for chip design and deploying generative AI for engineering use cases is required. | Agent | 8 |
| Solutions Architect – OEM AI Solutions Architect role focused on integrating NVIDIA's software and tools with OEM partners' offerings, specifically for AI security and accelerated compute solutions. The role involves designing GPU-accelerated pipelines, developing proof-of-concept technologies, guiding Agentic AI workflows (RAG, GNN), and translating AI/cybersecurity research into deployable architectures for enterprise and government customers. | AgentData | 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 |
| Software Engineering Intern, Automation Infra - 2026 NVIDIA is seeking an intern to build and maintain AI agent skills, MCP tools, and agentic workflows to automate operations. The role involves developing cloud-native services, data automation pipelines, and interactive dashboards. Candidates should have strong Python skills, experience with AI-powered applications like AI agents and RAG pipelines, and familiarity with cloud-native technologies. | Agent | 8 |
| SOC AI Application Engineer — AI Services, Agents and Knowledge Systems NVIDIA is seeking an AI Engineer to build AI application-layer services for SOC design automation, including assistants, retrieval, Q&A, workflow automation, and AI agents. The role involves designing, implementing, and operating LLM-backed services, building RAG and knowledge systems, applying agent and orchestration patterns, improving developer experience with AI-assisted coding, and owning reliability and evaluation. | AgentServe | 8 |
| Solutions Architect, Agentic AI NVIDIA is seeking Solutions Architects to build and deploy agentic AI applications at scale for enterprises, focusing on integrating enterprise data, developing multi-modal dialogue systems, and task-specific agents. The role involves working with agentic frameworks, providing feedback to improve software products, and educating vertical teams. | Agent | 8 |
| Senior Software Engineer, 3D, 4D Reconstruction Senior Software Engineer role focused on applying deep learning and computer vision to 3D/4D world modeling for autonomous driving products, involving building reconstruction systems, developing evaluation methods, and optimizing neural network performance. | AgentEval Gate | 8 |
| Robotics and Agent Solution Architecture Intern - 2026 Internship role focused on building innovative tools and applications in robotics, agentic modeling, and AI model inference, utilizing NVIDIA SDKs and frameworks. Involves AI engineering, optimization, and exploring new trends in AI and computing acceleration. | AgentServe | 8 |
| Senior Infrastructure and Methodology Engineer for SoC-Clocks NVIDIA is seeking a Senior Infrastructure and Methodology Engineer to optimize chip design workflows by developing AI and agentic applications. The role involves integrating LLM capabilities into various engineering tools, designing agent applications, and establishing evaluation benchmarks. Requires full-stack web development and AI application development experience, with a preference for ASIC knowledge. | Agent | 8 |
| Technical Lead, GenAI - Autonomous Vehicles This role is a Technical Lead focused on Generative AI within Autonomous Vehicles, engaging with developer ecosystems and partners to promote NVIDIA's AI platforms. The candidate will act as a technical advisor, develop expertise in NVIDIA's platforms, create enablement resources, and represent partner needs internally. Requires a strong technical background in AI, AV systems, and GenAI model development, with experience in production code, DevOps, and DL/RL frameworks. | Agent | 8 |
| Senior Solutions Architect, CSP System Senior Solutions Architect focused on building and optimizing Kubernetes infrastructure for Agentic AI and Agentic RL workloads, working with Cloud Service Providers in China. | AgentServe | 8 |
| AI for Design Engineer Develop and deploy AI agents and frameworks for hardware verification tasks, processing codebases and optimizing retrieval/generation algorithms for enterprise data. | 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 |
| Senior Software Engineer, RAG and Agentic AI Senior Software Engineer role focused on building and deploying production-grade RAG solutions and AI agents. The role involves designing and implementing scalable RAG architectures, developing AI agents with reasoning and multi-step execution capabilities, and orchestrating complex microservices deployments. Emphasis on optimizing RAG pipelines for accuracy, relevance, and performance, and driving continuous improvement through rigorous evaluation and collaboration. | AgentServe | 8 |
| Senior Software Engineer, Platform Engineering Senior Software Engineer to build next-generation AI platforms and products, focusing on agentic AI systems, RAG, and scalable infrastructure for enterprise workflows. | Agent | 8 |
| Solutions Architect, Physical AI and Robotics NVIDIA is looking for a Solutions Architect to guide partners in building enterprise Physical AI systems using Omniverse, Cosmos, synthetic data, and coding-agent-assisted digital twins workflows. The role involves technical advising on simulation, digital twins, robotics, industrial autonomy, and auto, focusing on architecture, compute, testing, and rollout strategies. Key responsibilities include guiding partners on synthetic data generation, evaluation methods, using coding agents for development acceleration, defining benchmarks, advising on compute infrastructure for simulation and inference, and building reference architectures. | AgentData | 8 |
| Senior Systems Software Engineer, E-commerce AI Platform - GeForce NOW Senior Systems Software Engineer to architect and deploy production-grade AI agents for NVIDIA's e-commerce platform, focusing on personalization, logistics, and customer experience. Requires expertise in Python, Java, GoLang, distributed systems, and AI frameworks like LangChain/LangGraph. | Agent | 8 |
| Senior Technical Program Manager - Agentic System Senior Technical Program Manager to drive and coordinate cross-functional teams for large-scale technical projects in agentic AI, connecting foundation models with real-world applications for edge deployment and AI workflows. | Agent | 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 |
| Senior AI Research Scientist, Robotics Digital Twins Senior AI Research Scientist role focused on developing digital twins for chemical, biological, and physical laboratories, integrating AI agents with science experiments, and collaborating with robotics and software engineers. Requires a Ph.D. and 5+ years of AI research experience in robotics. | Agent | 8 |
| Principal GenAI Engagement Lead, Partner Platforms This role focuses on driving the technical integration of NVIDIA's Generative AI software with enterprise partners, including ISVs and CSPs. The Principal GenAI Engagement Lead will build trusted relationships, accelerate adoption, and influence product direction by designing and shipping methodologies, code, and reference architectures for RAG, LLM inference, and Multi-Agent workflows. The role requires a strong background in AI/ML, deep learning, and enterprise-grade GenAI systems, with experience in various LLM application stages and MLOps. The individual will act as the key technical lead, ensuring the deployment of robust, scalable GenAI solutions. | AgentServe | 8 |