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 |
|---|---|---|
| Research Scientist, Generalist Embodied Agent Research - PhD New College Grad 2026 Research Scientist role focused on building humanoid robot foundation models and general-purpose embodied agents. Involves designing and implementing novel AI algorithms, developing large-scale training and inference methods, and deploying models in simulation and on hardware. Requires strong experience in LLMs, multimodal foundation models, reinforcement learning, agent learning, and applied robotics, with a PhD and publication record. | AgentData | 10 |
| 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 Data Scientist - Security and Networking Research Senior Data Scientist role focused on AI cybersecurity, developing agentic AI systems, optimizing models, and leveraging data pipelines for NVIDIA's networking and data center security products. | 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 Systems Software Engineer, Machine Learning Senior Systems Software Engineer focused on Machine Learning, specifically generative AI, LLMs/VLMs, computer vision, and agentic systems. The role involves converting research into production products, building and shipping ML workflows/pipelines, and leveraging AI in data generation. Key responsibilities include defining evaluation criteria and running offline evals. Experience with multi-agent pipelines, VLMs in production, and shipping AI-powered features to users is highly valued. | AgentData | 9 |
| Senior High Performance AI Engineer Senior High Performance AI Engineer to build multi-agent systems for the CUDA ecosystem, focusing on agentic runtimes, compiler-integrated orchestration, and GPU acceleration for agent workloads like planning, tool-use, and code generation. Collaborates across the AI stack from hardware to model/agent teams. | AgentServe | 9 |
| Senior LLM Agents Architect Senior LLM Agents Architect role focused on designing and building agentic AI systems to optimize GPU compute kernels, analyze architectural simulations, and drive improvements in hardware design and developer efficiency. The role involves hands-on CUDA programming, collaboration with hardware architects, and building automated agentic workflows for performance forensics and architectural studies. | Agent | 9 |
| Senior Software Engineer, Agentic AI – Nvidia Blueprints and NIM Integrations Senior Software Engineer focused on integrating NVIDIA's NIM microservices and Blueprints into agentic AI frameworks. The role involves building and maintaining agentic workflows, developing test harnesses, and contributing to the open-source agentic AI ecosystem. | Agent | 9 |
| Developer Relations Manager, Higher Education and Research - AI Agents NVIDIA is seeking a Developer Relations Manager to engage with research labs, acting as a technical advisor to accelerate the adoption of NVIDIA's AI platforms, with a deep focus on agentic AI systems. The role requires a PhD or equivalent experience, strong understanding of frontier research challenges in agents, and hands-on experience building or evaluating agent systems. | Agent | 9 |
| Senior GenAI Technical Lead, Partner Platforms Senior Technical Lead for GenAI Product Integration at NVIDIA, focusing on integrating NVIDIA's GenAI software with enterprise ISV and CSP partners. The role involves defining technical strategy, building trusted relationships, and driving adoption of NVIDIA's offerings. Responsibilities include hands-on design and shipping of RAG, LLM inference, and Multi-Agent workflows, owning technical engagements, and representing partner needs to Product and Engineering teams. Requires strong background in AI/ML, Deep Learning, and building enterprise-grade GenAI systems, with experience in relevant programming languages and LLM application stages. | AgentServe | 9 |
| Senior Solutions Architect, Autonomous Driving - GenAI Senior Solutions Architect focused on Generative AI and Autonomous Vehicles, engaging with customers to guide adoption of NVIDIA's full-stack technologies, including AI platforms, CUDA-X libraries, and GenAI/Physical AI solutions. Responsibilities include technical mentorship, developing AV perception and planning models, simulations, synthetic data generation, AI-enhanced manipulation/navigation, and building collateral for AI workflows. Requires strong experience in AV systems, GenAI model development, Python/C++, Linux, DevOps, and DL/RL frameworks. | AgentData | 9 |
| Senior Systems Software Engineer, Machine Learning Senior Systems Software Engineer focused on building and shipping machine learning workflows and agentic systems, particularly leveraging LLMs/VLMs and computer vision for data generation and product features. The role involves converting research into production products, defining evaluation criteria, and iterating quickly. | AgentData | 9 |
| Senior AI Architect, Computer Use Agents Senior Software Engineer role focused on building multi-modal agentic AI solutions for NVIDIA's software stack, aiming to accelerate various stages of the SDLC. Responsibilities include leading design and development, and creating benchmarks. | Agent | 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 |
| Product Manager, AI Platform SW - Agentic AI Kernel Generation Product Manager for NVIDIA's Agentic AI Platform, focusing on AI agents that generate, optimize, and deploy GPU kernels. The role involves defining product strategy, roadmaps, and end-to-end product lifecycles, from data generation and evaluation to deployment and continuous improvement, in collaboration with engineering, research, and customers. | AgentData | 9 |
| ML and Agentic Systems Engineer NVIDIA's Cosmos team is seeking an ML and Agentic Systems Engineer to build AI-native systems and agentic workflows across the ML lifecycle. The role focuses on creating the meta-layer for ML development, enabling AI agents to interact with code, data, experiments, and evaluations to accelerate ML processes. Responsibilities include designing agentic workflows, building AI-native systems, creating self-improving loops, owning large-scale Python/PyTorch codebases, and scaling evaluation platforms. | AgentEval Gate | 9 |
| Senior Software Engineer, Agentic AI Senior Software Engineer role focused on building and scaling agentic AI systems for high-performance code generation. Responsibilities include architecting agentic systems, scaling distributed systems, developing evaluation frameworks, optimizing for performance on NVIDIA GPUs, and establishing engineering standards. Requires experience in building coding agents, AI evaluation, and distributed systems. | AgentEval Gate | 9 |
| Senior Tools Development Engineer This role focuses on building agentic infrastructure for test automation and quality engineering within the NVIDIA Omniverse platform. The engineer will design and deploy multi-agent systems, orchestration frameworks, and autonomous pipelines, with a strong emphasis on evaluating agent output quality and establishing observability for these workflows. The goal is to enable engineers to ship high-quality software with greater speed and confidence. | AgentEval Gate | 9 |
| Senior Applied Researcher, AI Agentic Systems NVIDIA is seeking a Senior Applied Researcher to build and deploy end-to-end agentic systems that integrate LLMs with domain tools to enhance NVIDIA's products, specifically targeting HW and SW engineering workflows. The role involves developing complex agentic systems with multi-agent coordination, long-horizon reasoning, planning frameworks, and RAG pipelines, and establishing evaluation backbones for iteration and improvement. | Agent | 9 |
| Machine Learning Engineer - Humanoid Robotics Machine Learning Engineer focused on humanoid robotics, developing and advancing foundation models (GR00T, Cosmos) for loco-manipulation, and implementing algorithms for real-world robot deployment. The role involves robot learning, synthetic data generation, and sim-to-real transfer. | AgentData | 9 |
| Senior Applied AI Researcher, Digital Biology Senior Applied AI Researcher at NVIDIA Israel focusing on deep learning for biology. The role involves developing foundational, generative, and agentic AI models, including LLMs and multimodal systems, for biological data and digital twin applications in healthcare. Responsibilities include research, implementation, evaluation, and collaboration in an interdisciplinary team. | AgentPost-train | 9 |
| Senior Solutions Architect, Retail Senior Solutions Architect for Retail at NVIDIA, focusing on developing and deploying Agentic AI solutions for enterprise clients. The role involves building complex agentic systems, RAG pipelines, and optimizing inference performance using NVIDIA's AI infrastructure. Requires strong programming skills, experience with LLM applications, and agentic frameworks. | Agent | 9 |
| Senior Research Engineer - Video Search Senior Research Engineer at NVIDIA to design and build video search technologies for Autonomous Vehicles, Robotics, and Medical applications, focusing on exabyte scale and agentic search. The role involves developing and integrating innovative video search approaches, benchmarking retrieval methods, and collaborating with researchers and product teams to build robust physical AI dataset search workflows. | AgentData | 9 |
| Senior Solutions Architect, Generative AI Specialist Senior Solutions Architect specializing in Generative AI, focusing on developing end-to-end AI solutions, reference architectures, and proof-of-concept engagements for agentic AI systems and LLM-powered workflows. The role involves designing multi-cloud strategies, leading workshops, and advising on MLOps principles and emerging standards for agentic AI. | Agent | 9 |
| Solutions Architect, Generative AI NVIDIA is seeking an AI Engineer or Solutions Architect to enable ecosystem partners for Generative AI. The role involves building innovative proof-of-concept solutions and reference architectures for AI agents, demonstrating NVIDIA's full-stack accelerated Generative AI platforms. Responsibilities include acting as a technical expert, developing foundational solutions, providing technical blueprints, advising on deployment, and enabling partners to build their own services and products. The role requires experience in deploying AI models at scale, building enterprise-grade agentic AI systems, and proficiency in LLM/VLM frameworks and Python/C++. | AgentServe | 9 |
| Senior Software Engineer, RAG and Agentic AI Senior Software Engineer to join the AI Blueprints team to build multimodal, scalable, production-grade reference RAG solutions using Agentic AI and NVIDIA Nemotron models. Develop orchestration layers to dynamically interact with proprietary unstructured and structured data sources. The role involves planning, building, and refining RAG workflows, designing and implementing AI agents for reasoning, planning, and multi-step execution, running POCs, hardening patterns, building and deploying end-to-end RAG pipelines using microservices architecture, and driving continuous improvement through evaluation and performance analysis. | AgentServe | 9 |
| Solutions Architect, Model Builder - LATAM Solutions Architect focused on building and deploying agentic AI applications and enterprise agents, with a strong emphasis on localization, performance optimization, and leveraging NVIDIA's AI infrastructure. | AgentServe | 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 |
| Senior Robotics Research Engineer, Robotics and AI for Drug Discovery Senior Robotics Research Engineer focused on building physical AI for drug discovery labs, involving robotics simulation, perception, task and motion planning, and training robots for manipulation tasks using imitation and reinforcement learning. | AgentData | 9 |
| Senior Solutions Architect, Generative AI Specialist Senior Solutions Architect specializing in Generative AI, focusing on building and architecting enterprise-grade agentic AI systems, RAG pipelines, and multi-modal workflows. The role involves leading prototyping, proof-of-concept collaborations, and providing technical advisory to sophisticated AI partners, with a strong emphasis on GPU-accelerated inference at scale, production optimization, and creating reusable technical assets. Responsibilities include problem-solving across the AI stack, collaborating with internal teams, and contributing to team growth and practice building. | AgentServe | 9 |
| Senior Solutions Architect, Generative AI Specialist Senior Solutions Architect specializing in Generative AI, focusing on building and deploying enterprise-grade agentic AI systems, RAG pipelines, and multi-modal workflows with GPU-accelerated inference at scale. The role involves acting as a technical advisor, leading prototyping, architecting solutions, and resolving complex system issues for NVIDIA's advanced AI partners. | AgentServe | 9 |
| Solutions Architect, Applied AI Builder This role focuses on building production-grade AI applications and agent systems for enterprises, involving design, orchestration, integration, observability, and deployment on NVIDIA's platforms. The candidate will lead by example as a hands-on developer, creating proof-of-concept solutions and deployable single-agent and multi-agent systems to solve real business problems. | Agent | 9 |
| Machine Learning Engineer, GeForce G-Assist Machine Learning Engineer at NVIDIA focused on building GeForce G-Assist, an on-device AI assistant. The role involves evaluating and improving SLMs and VLMs, optimizing local inference (e.g., llama.cpp), designing RAG systems, and supporting agentic AI workflows. Requires strong C/C++ and Python skills, experience with local inference frameworks, and knowledge of SLM/VLM architectures and agentic AI patterns. | AgentServe | 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 |
| Principal Engineer, Autonomous Vehicles and Physical AI Solutions Principal Engineer for Autonomous Vehicles and Physical AI Solutions at NVIDIA, focusing on strategic automotive and robotics partnerships in Japan. The role involves tailoring NVIDIA's full-stack AI technologies (DRIVE AGX Thor, Alpamayo, Cosmos) to meet production-grade requirements of OEMs, bridging AI, system optimization, and safety architecture. Responsibilities include innovating with reasoning VLA models, ensuring engineering alignment for partnerships, representing NVIDIA in industry forums, serving as technical authority for RFIs/RFQs, and establishing standards for physical AI production deployment. | AgentShip | 9 |
| Senior AI ML Solution Engineer, AI-Native Development Senior AI/ML Solution Engineer focused on designing and building AI-powered development pipelines, evaluating ML approaches for code generation and review, and driving adoption of AI-assisted software development. The role involves architecting feedback and evaluation systems, leading proof-of-concept development, and collaborating on risk-based development levels. | AgentEval Gate | 9 |
| Robotics Research Intern - 2026 Robotics Research Intern at NVIDIA focusing on fundamental and applied research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning, and simulation. The goal is to transform research paradigms, transfer into products, and create new markets. | AgentData | 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 |
| Senior Capability Development Engineer NVIDIA is seeking a Senior Capability Development Engineer to develop and enhance internal RAG and Agent platforms for Ops Engineering productivity. The role involves developing, training, fine-tuning, and deploying multimodal LLMs, building LLM-based applications (RAG, TEXT2SQL, Agents), applying advanced tuning techniques, measuring performance, analyzing accuracy/bias, and driving dataset development. Requires strong Python skills, familiarity with ML/DL frameworks and LLMs, and practical experience with LLM training frameworks. | AgentPost-train | 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 |
| Research Scientist, Robotics Research - PhD New College Grad 2026 Research Scientist role focused on developing and integrating algorithms, models, and methods for robotic manipulation and loco-manipulation. The role involves contributing to multi-person research projects, publishing in top conferences, collaborating with product teams for research transfer, and working with real-world robotic systems and simulation. Requires a PhD and a strong research track record in robotics, ML, or related fields, with expertise in Python, deep learning frameworks, and robotics/simulation frameworks. | AgentData | 9 |
| Senior Research Scientist - Autonomous Vehicles Research Scientist role focused on AI for autonomous vehicles, involving designing and implementing techniques, publishing research, and collaborating with product teams for deployment. The role emphasizes agent behavior, foundation models, closed-loop training, and AI safety within the robotics domain. | Agent | 9 |
| Senior Product Engineer, Agentic AI Product leader and builder to define and drive Agentic AI products and platforms, bridging product vision with deep technical execution. Focus on translating early-stage innovations into scalable, production-ready systems for agentic AI workflows. | Agent | 8 |
| Senior Software Engineer, AIOps NVIDIA is seeking a Senior Software Engineer for their AIOps platform team to build core distributed systems for ingesting telemetry from GPU clusters and operationalizing predictive AI models. The role involves architecting an agentic AIOps system, handling high-scale data engineering, and building model-serving infrastructure for SaaS and on-premises deployments. | AgentServe | 8 |
| Senior Applied AI Engineer NVIDIA is seeking a Senior Applied AI Engineer to build AI solutions that unify data across engineering systems, enabling advanced analytics through AI agents, copilots, and workflow automation for ASIC networking product engineering. The role involves end-to-end ownership from architecture to deployment and maintenance, aiming to scale engineering productivity. | Agent | 8 |
| Senior Software Engineer, Applied AI Senior Software Engineer, Applied AI Systems role focused on building production AI/ML and agentic solutions. Responsibilities include developing agents, workflow services, APIs, data pipelines, tool integrations, evaluation harnesses, and operational tooling. Requires strong Python skills, experience with LLMs, RAG, agentic AI, distributed systems, and system design. The role emphasizes turning ambiguous problems into durable software systems and shaping how production applied AI systems are built and measured. | Agent | 8 |
| 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 System Security Architect NVIDIA is seeking a Senior Security Architect to design, build, and deploy AI agent systems for security workflows, integrating LLMs, RAG, and automation with security data. The role involves owning the full agentic system lifecycle and partnering with product teams. | Agent | 8 |