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 AI Security Researcher Senior AI Security Researcher at NVIDIA focusing on testing, attacking, defending, and safely deploying frontier AI systems, agentic applications, and AI-enabled security automation. The role involves developing new methods, tools, and evaluations to understand and mitigate security risks across various AI components. | Eval GateAgent | 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 |
| Research Scientist, Generative AI for Graphics and Gaming Research Scientist role focused on developing and training advanced generative AI models for graphics and gaming applications. The role involves research, pre-training, post-training, data pipeline development, and prototyping in real-time engines, with a focus on user experience improvements and bringing ideas to market. | Post-trainPretrain | 9 |
| Senior DL Algorithms Engineer - Inference Performance Senior engineer to optimize LLM/Omni model inference performance on NVIDIA's accelerated inference software stack, working across hardware and software layers. Involves enabling and optimizing open models, contributing code to frameworks like TRT-LLM and vLLM, profiling bottlenecks, and benchmarking. | Serve | 9 |
| Senior Deep Learning Software Engineer, Inference Senior Software Engineer specializing in Deep Learning Inference to optimize GPU-accelerated software for AI applications. Focus on high-performance deep learning frameworks like SGLang and vLLM for efficient model serving and inference, improving performance across NVIDIA accelerators. | Serve | 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 |
| Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026 NVIDIA is seeking engineers to develop algorithms and optimizations for their LPX inference and compiler stack, working at the intersection of large-scale systems, compilers, and deep learning to optimize neural network workloads on future NVIDIA platforms. | Serve | 9 |
| Senior AI Engineer, World Foundation Models NVIDIA is seeking a Senior AI Engineer to work on world foundation models for generating dynamic worlds, focusing on human appearance, motion, and action understanding. The role involves applied research, developing and validating model improvements, and hardening them into production-grade checkpoints. Responsibilities include researching architecture changes, exploring multimodal modeling, improving training/inference efficiency, defining training objectives, developing benchmarks, and translating research into robust implementations. Requires a PhD or equivalent experience, 8+ years of applied research/industry experience, 3+ years in generative models for image/video/audio, proficiency in Python, PyTorch, C++, CUDA, and experience with large model training and inference optimization. | Post-trainServe | 9 |
| Senior Research Scientist, AI-Mediated Reality and Interaction Senior Research Scientist focused on AI-Mediated Reality and Interaction, creating interactive physical AIs for dynamic 4D worlds. Research areas include AI, neural rendering, graphics, generative modeling, LLMs, and human behavior. The role involves proposing and prototyping novel research, publishing in top venues, collaborating with teams, creating demonstrations, and participating in technology transfer to products like Isaac, Omniverse, and Metropolis. | Pretrain | 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 Software Engineer, AI Inference Systems Senior Software Engineer focused on building and optimizing AI inference systems for large-scale models, involving GPU kernel optimization, inference framework development (vLLM), benchmarking (MLPerf), and orchestration of distributed deployments. | Serve | 9 |
| Senior Machine Learning Engineer, End‑to‑End Autonomous Driving Senior Machine Learning Engineer at NVIDIA focused on building, training, and deploying large-scale end-to-end autonomous driving models using VLM/VLA architectures and a data flywheel for continuous improvement. The role involves designing models, driving data collection and iteration, curating multimodal datasets, developing data-centric algorithms, exploring new data sources, and creating agentic data workflows. | ShipData | 9 |
| Solutions Architect, GenAI NVIDIA is seeking a Solutions Architect with deep expertise in Generative AI (LLM) model building, focusing on training LLMs at scale and customizing them. This role involves designing solutions, leading workshops, and collaborating with internal teams to build full-stack GenAI solutions for enterprise use cases. The position requires significant experience in deep learning and generative AI, with an emphasis on large-scale LLM training. | Post-trainServe | 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 |
| Tech Engagement Lead - Model Builder This role focuses on engaging with leading AI model builders to drive the adoption and optimize the performance of NVIDIA's hardware, systems, and software (e.g., GPUs, DGX, CUDA-X, NeMo, TensorRT) within their generative AI workflows, specifically for training and inference. The role involves technical integration, strengthening partnerships, influencing product roadmaps, and showcasing best practices for scalable AI model development pipelines. | ServePost-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 |
| Principal High-Performance LLM Training Engineer NVIDIA is seeking a Principal Engineer to lead performance analysis and optimization of large-scale AI training and post-training workloads on NVIDIA's hardware and software stack. The role involves deep technical analysis across compute, memory, communication, and frameworks to improve efficiency and influence future roadmaps. | PretrainPost-train | 9 |
| Senior Software Engineer, AI Inference Systems Senior Software Engineer focused on building and optimizing AI inference systems, including vLLM, GPU kernels, and orchestration for large-scale model deployments. The role involves performance engineering, benchmarking (MLPerf), and potentially research integration. | Serve | 9 |
| Senior Solutions Architect - Generative AI Senior Solutions Architect specializing in Generative AI, focusing on training LLMs, fine-tuning, and RAG implementation. The role involves architecting end-to-end solutions, collaborating with customers and sales teams, and providing technical leadership for LLM training and Agentic AI workflows on NVIDIA platforms. | Post-trainAgent | 9 |
| Research Scientist, 3D Computer Vision Research Scientist role focused on 3D computer vision and deep learning, involving novel technique research, publication, and collaboration. Requires a Ph.D. and a strong publication record in top venues. | Pretrain | 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 |
| Applied Research PhD Student, Foundation Models for Materials Science NVIDIA is seeking a PhD student for joint research at Bar-Ilan University on next-generation Foundation Models for Materials Science. The role involves developing novel multi-modal foundation models, leveraging large-scale data, representation learning, and uncertainty estimation, with a focus on publishing results in top-tier venues. | PretrainPost-train | 9 |
| Senior Deep Learning Software Engineer Senior Deep Learning Software Engineer to design and build an automated inference and deployment solution with a scalable architecture focusing on ease-of-use and compute efficiency. The role involves developing features in high-level frameworks, implementing a high-performance execution environment, and low-level GPU optimizations. | Serve | 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 |
| LLM Reinforcement Learning Framework Engineer NVIDIA is seeking an LLM Reinforcement Learning Framework Engineer to develop and deploy RL algorithms for LLM post-training, focusing on improving reasoning and alignment. The role involves integrating RL components into NVIDIA's LLM stack, crafting experiments, and ensuring production readiness. Requires strong Python, PyTorch, and practical RL experience with LLMs, along with familiarity in async/distributed orchestration. | Post-trainAgent | 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 |
| Principal Architect, AI Networking This role leads the research agenda and architectural direction for NVIDIA's AI networking systems, focusing on high-performance communication at scale. It involves original research, hardware-software co-optimization, and integrating networking into AI serving stacks, with a requirement to publish findings and ship production-grade software. | ServePretrain | 9 |
| Senior Software Engineer, RL Post-Training Frameworks NVIDIA is seeking a Senior Software Engineer to build and scale RL post-training infrastructure, focusing on distributed systems, high-performance computing, and deep learning infrastructure. The role involves architecting and optimizing RL training-inference-rollout loops, ensuring fault tolerance and elastic scaling, and collaborating with researchers and hardware teams. | Post-trainServe | 9 |
| Manager, Deep Learning – Autonomous Vehicles and Robotics Manager for a Deep Learning Engineering team focused on delivering production-quality deep learning solutions for autonomous vehicles and robotics on edge hardware. The role involves leading a team, defining technical initiatives, and collaborating with automotive OEMs and robotics partners to optimize solutions on NVIDIA platforms, working at the intersection of model architectures, compiler technology, and embedded deployment. | ServePost-train | 9 |
| Research Scientist, 3D Computer Vision Research Scientist role focused on 3D computer vision and deep learning for scene understanding, pose estimation, and localization. The role involves publishing original research, mentoring, and collaborating with productization teams. Requires a Ph.D. and a strong publication record in top computer vision venues. | Post-train | 9 |
| Senior Deep Learning Algorithms Engineer - BioNeMo Senior Deep Learning Algorithms Engineer at NVIDIA to optimize biology and structural biology models (LLMs, VLMs) for inference performance on GPUs using TensorRT-LLM and related stacks. Focus on low-latency, high-throughput inference, quantization, custom GPU kernels, and production deployment. | ServePost-train | 9 |
| Senior AI Software Engineer, Kernel Libraries Senior AI Software Engineer focused on developing kernel libraries and inference systems software to accelerate AI workloads, including LLMs and agents, on NVIDIA's hardware. Responsibilities include innovating and optimizing kernels, designing abstractions for serving engines, and building compilers/runtimes. | Serve | 9 |
| Senior Software Engineer, AI and DL Kernel Libraries Develops libraries, code generators, and GPU kernel technologies for NVIDIA's AI inference systems software stack, focusing on accelerating AI inference through efficient kernels, abstractions, and runtimes for LLMs and agents. | Serve | 9 |
| Senior AI Compiler Engineer, MLIR NVIDIA is hiring a Senior AI Compiler Engineer to build an MLIR-based AI compiler for their inference engine, focusing on performance, low memory usage, and usability across data center and edge. The role involves developing graph representations, optimizations, defining APIs, and implementing compiler optimizations and kernel generation for neural networks. | Serve | 9 |
| Senior DL Software Engineer, Model Optimization and Edge Deployment - Autonomous Vehicles Senior DL Software Engineer focused on optimizing and deploying large multimodal models (LLMs/VLMs) for real-time robotic execution in autonomous vehicles. The role involves advanced model compression, quantization, pruning, distillation, and inference optimization techniques for edge deployment on NVIDIA hardware, integrating with C++ production environments. | ServeAgent | 9 |
| Solutions Architect, AI Models NVIDIA is seeking a Solutions Architect to help enterprise customers adopt NVIDIA AI software and models. This role involves developing end-to-end AI solutions, tackling complex challenges across the AI model lifecycle (data processing, orchestration, training, post-training, RL, evaluation, optimization), and supporting a broad model portfolio. The architect will partner with customers to understand their needs and deliver customized AI solutions, contributing to product improvement and sharing knowledge through open-source projects, product engineering, or training. | ShipPost-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 |
| Research Scientist - New College Grad 2025 Research Scientist role focused on developing new deep learning models for code and mathematics reasoning, designing large-scale training algorithms, and open-sourcing models using NeMo. The role involves publishing research papers and collaborating with academic labs. | PretrainPost-train | 9 |
| Senior Deep Learning Software Engineer, LLM Performance Senior Deep Learning Software Engineer focused on optimizing LLM inference performance on NVIDIA accelerators using frameworks like TensorRT LLM, VLLM, and Triton. The role involves implementing and scaling inference, serving, and deployment algorithms, collaborating with various teams, and contributing to NVIDIA/OSS LLM frameworks. | Serve | 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 |
| Senior Machine Learning and Simulation Engineer - Autonomous Vehicles Senior ML Engineer focused on building and optimizing large-scale Reinforcement Learning (RL) training frameworks for multi-modal Autonomous Vehicle (AV) foundation models. This role involves designing simulation and data processing pipelines, refining reward functions, and ensuring the reliability of training workflows on GPU clusters, with a focus on closed-loop simulation for training end-to-end AV models. | Post-trainAgent | 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 ML Evaluation Engineer - Autonomous Vehicles NVIDIA is seeking a Senior ML Evaluation Engineer for their Autonomous Vehicles team. The role involves designing and building learned evaluation pipelines using LLMs, VLMs, and agentic workflows to assess driving behavior. The engineer will define evaluation methodologies, build golden-set frameworks, and contribute to the transition from rule-based to learned evaluation systems. This position requires a strong background in ML system development, software engineering, and experience with large-scale data processing, with a focus on shipping production ML systems. | Eval GateAgent | 9 |