NVIDIA
- HQ
- California, US
- Founded
- 1993
- Size
- 35,000+
- Website
- nvidia.com
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 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 |
| 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 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 |
| 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 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 |
| Senior Software Engineer - AI Inference Senior Software Engineer focused on optimizing and contributing to open-source LLM inference serving engines like vLLM and SGLang to run efficiently on NVIDIA GPUs, focusing on high-throughput, low-latency inference at scale. | Serve | 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 |
| Research Scientist, Generative AI for Physical AI - PhD New College Grad 2026 Research Scientist role focused on Generative AI for Physical AI, developing advanced video generative and video-language models, and scaling large-scale training systems for foundation models. Requires a PhD and expertise in PyTorch, diffusion, vision-language, reasoning models, RL, and physics simulation. | PretrainPost-train | 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 High-Performance LLM Training Engineer NVIDIA is seeking an experienced Senior High-Performance LLM Training Engineer to optimize LLM training workloads on advanced computing systems. The role focuses on improving the efficiency of NVIDIA's high-performance LLM software stack using frameworks like PyTorch and JAX for training on thousands of GPUs, and influencing future hardware roadmaps. | Data | 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 HPC and AI Network Software Architect NVIDIA is seeking a Senior HPC and AI Network Software Architect to design and build scalable AI infrastructure for distributed training and inference. The role involves developing software and hardware approaches to optimize communication efficiency and performance across large-scale systems, collaborating with AI framework teams and hardware teams. | ServePost-train | 9 |
| Senior Manager, Software Engineering - JAX Senior Engineering Manager to define and drive NVIDIA's JAX strategy, coordinating multiple teams to ensure JAX delivers peak performance across heterogeneous hardware (GPUs, CPUs, LPUs). The role involves supporting emerging needs across training, post-training, inference, and robotics, bridging new hardware capabilities with AI trends. Key responsibilities include driving engineering contribution strategy, promoting teamwork, building partnerships with open-source projects, designing processes, and leading a high-performing engineering organization. | ServePost-train | 9 |
| Deep Learning Software Engineer, TensorRT Performance - New College Grad 2026 NVIDIA is seeking a Deep Learning Software Engineer to analyze and improve the performance of their inference ecosystem, focusing on TensorRT and related frameworks. The role involves optimizing inference solutions for various NVIDIA accelerators, developing new model pipelines, and collaborating with cross-functional teams on generative AI, robotics, and vision/speech understanding applications. | Serve | 9 |
| Senior Deep Learning Engineer Senior Deep Learning Engineer at NVIDIA to optimize and deploy foundation models for physical AI applications (AVs, robots, video analytics) on GPU platforms, focusing on high-performance inference. | ServePost-train | 9 |
| Deep Learning Senior Engineer, End-To-End Autonomous Driving NVIDIA is looking for a Deep Learning Senior Engineer to design, implement, and deploy end-to-end autonomous driving systems. The role focuses on leveraging LLMs, VLMs, and VLAs for reasoning and planning, involving model training, pre-training, fine-tuning, and integration into safety-critical vehicle firmware. Experience with production-grade ML models and C++ for deployment is required. | Post-trainAgent | 9 |
| Manager, Large Language Model Inference Manager for Large Language Model Inference at NVIDIA, focusing on developing and optimizing LLM/VLM/VLA inference software for NVIDIA GPUs and hardware platforms. The role involves leading a team in specialized kernel development, runtime optimizations, and frameworks for LLM inference, with a strong emphasis on delivering production-grade, high-performance software. | Serve | 9 |
| Senior Deep Learning Software Engineer, TensorRT Performance NVIDIA is seeking a Senior Deep Learning Software Engineer to analyze and improve the performance of their deep learning inference ecosystem, specifically focusing on TensorRT. The role involves optimizing inference solutions for various NVIDIA accelerators, contributing to inference frameworks, and developing new model pipelines for generative AI and other applications. | Serve | 9 |
| Senior Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles NVIDIA is seeking a Senior Perception Engineer to design and productize its next-generation autonomous driving perception stack. The role focuses on the core 3D obstacle perception pipeline, involving architecture and algorithm design, and hands-on implementation using transformer-based, multi-modal, and vision-language techniques. Responsibilities include developing perception models, building production-grade deep learning models with pretraining and fine-tuning, defining KPI frameworks, contributing to data strategy, and collaborating with safety and systems teams. Requires a PhD/MS/BS with significant relevant experience, proficiency in PyTorch, Python/C++, and experience in data-driven development. Experience with autonomous driving/robotics perception, embedded platforms, optimization, and publications in leading conferences are desirable. | ShipPost-train | 9 |
| Principal Deep Learning Senior Engineer, End-To-End Autonomous Driving NVIDIA is seeking a Principal Deep Learning Senior Engineer to design, implement, and deploy end-to-end autonomous driving systems. The role focuses on leveraging LLMs, VLMs, and VLAs for advanced reasoning and planning in vehicles and robotics, involving model training, pre-training, fine-tuning, and integration into safety-critical systems. | Post-trainAgent | 9 |
| Principal Deep Learning Engineer – Perception, Autonomous Driving Principal Deep Learning Engineer for NVIDIA's Autonomous Driving Perception team, focusing on developing, training, and deploying state-of-the-art perception systems (detection, segmentation, tracking) for vehicles. The role involves leading the end-to-end productization of these models, ensuring high quality and safety, defining data strategy, and providing technical leadership. Requires extensive experience in deep learning for computer vision and shipping commercial DL products. | ShipServe | 9 |
| Senior Software Engineer, AI Inference Systems NVIDIA is seeking a Senior Software Engineer to build and optimize AI inference systems for large-scale models, focusing on extreme efficiency and performance across multi-GPU, multi-node, and multi-cloud environments. The role involves architecting inference stacks, optimizing GPU kernels and compilers, driving benchmarks (MLPerf), and orchestrating large-scale deployments. | Serve | 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 |
| Senior Deep Learning Communication Architect Senior Deep Learning Communication Architect role focused on optimizing communication performance for large-scale distributed deep learning training and inference. This involves identifying bottlenecks, designing efficient protocols, collaborating on hardware/software co-design, and exploring new communication technologies. The role requires deep understanding of parallelism techniques and experience with DNN frameworks and GPU computing. | ServePost-train | 9 |
| Senior Deep Learning Performance Architect - LPU NVIDIA is seeking a Senior Deep Learning Performance Architect to focus on hardware-software co-design for AI Inference performance. The role involves designing GPU and system architectures, analyzing deep learning algorithms, building performance models, and collaborating with various teams to guide AI direction. | Serve | 9 |
| Senior Systems Software Engineer - Deep Learning Solutions Senior Systems Software Engineer focused on optimizing deep learning inference for autonomous vehicles and robotics on edge devices. Requires deep understanding of model architectures, kernel trace analysis, and evaluation of modern architectures on GPUs/SOCs, with a focus on TensorRT and compiler technology for embedded hardware. | ServePost-train | 9 |
| AI Inference Performance Engineer This role focuses on optimizing and benchmarking Generative AI inference performance on NVIDIA's hardware accelerators, specifically working with frameworks like TensorRT-LLM, SGLang, and vLLM. The engineer will drive industry benchmark results by implementing optimizations in quantization, scheduling, memory management, and distributed inference. They will also define and optimize cutting-edge workloads, architect distributed inference systems from single-GPU to rack-scale, establish performance methodology using profiling, and contribute to open-source projects. The role requires strong programming skills (Python/C++), expertise in DL frameworks, and a deep understanding of LLM/VLM architectures and inference mechanics. | Serve | 9 |
| Senior Deep Learning Engineer - Model Evaluation & AI Systems Senior/Principal Deep Learning Engineer focused on building evaluation methodologies and infrastructure for AI models (LLMs, RAG, agents, vision/multimodal), including contributing to an open-source platform and collaborating with the community. The role involves working with model training, inference, and product teams to provide evaluation signals for release and optimization decisions. | Eval GateAgent | 9 |
| Senior Deep Learning Engineer Senior Deep Learning Engineer at NVIDIA focused on optimizing inference for next-generation AI workloads including multi-agent systems and generative multimodal models. The role involves characterizing emerging workloads and developing novel optimization methods across the inference stack, from algorithmic to system level, on NVIDIA hardware. Collaboration with research, framework development, and silicon architecture teams is key. | ServeAgent | 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 Systems Software Engineer - Deep Learning Solutions Senior Systems Software Engineer focused on deep learning inference optimization for autonomous vehicles and robotics on edge hardware. The role involves analyzing and improving deep learning models on NVIDIA platforms, benchmarking performance, evaluating emerging model architectures, and collaborating with compiler, runtime, and hardware teams to deliver inference solutions. | Serve | 9 |
| Senior Deep Learning Compiler Engineer - XLA Senior Deep Learning Compiler Engineer focused on optimizing inference and training performance for JAX and OpenXLA on NVIDIA GPUs. Develops compiler optimization algorithms, graph partitioning, tensor sharding, and code generation using MLIR, LLVM, and Triton. | ServePost-train | 9 |
| Principal Software Engineer - AI Inference Principal Software Engineer focused on advancing open-source LLM serving, specifically contributing to inference engines like vLLM and SGLang, optimizing them for NVIDIA GPUs and systems to achieve high-throughput, low-latency inference at scale. The role requires deep technical expertise in inference runtime architecture, GPU performance engineering, and distributed systems. | Serve | 9 |
| Senior Research Scientist for Generative AI Senior Research Scientist at NVIDIA focusing on original research in generative AI, including image, video, 3D, and audio generation. The role involves implementing and training large-scale models, building research prototypes, and collaborating with product teams for technology transfer. | Post-trainPretrain | 9 |
| Senior DL Algorithms Engineer - Inference Performance Senior DL Algorithms Engineer focused on optimizing inference performance for language and multimodal models using NVIDIA's inference stack (NIMs, TRT-LLM). Role involves profiling, analysis, and collaboration across hardware/software layers to maximize performance on GPUs. | Serve | 9 |
| Senior Research Scientist, AI Accelerator Design and VLSI Research Scientist focused on AI accelerator hardware design, VLSI, and AI HW/SW co-design, applying machine learning and generative AI to hardware design flows and optimization techniques like quantization. | Serve | 9 |
| AI Safety Scientist, Deep Learning Research Scientist focused on AI safety for multilingual, multimodal LLMs, including content safety, ML fairness, bias detection, and hallucination mitigation. The role involves developing datasets, moderator models, and training techniques (SFT, RL), and contributing to safety tools. | Post-trainData | 9 |
| Research Scientist, AI Accelerator Design and VLSI - New College Grad 2026 Research Scientist role focused on AI Accelerator Design and VLSI, involving AI HW/SW Co-Design, quantization, and applying generative AI to hardware design. Requires a PhD and experience in VLSI, computer architecture, or numerical algorithms for AI. Collaborates on research prototypes and publishes findings. | Serve | 9 |
| Senior Applied Deep Learning Research Scientist, Efficiency Research Scientist at NVIDIA focused on making deep learning models more efficient through techniques like quantization, sparsity, and optimized architectures. The role involves researching low-bit representations, pruning, and developing new algorithms for both training and inference, with a focus on understanding the root causes of efficiency gains and losses. The work directly influences next-generation hardware and state-of-the-art models, with opportunities for open-sourcing or publishing findings. | Post-trainServe | 9 |
| Senior Research Scientist, Multi-Modal Language Models Senior Research Scientist at NVIDIA focused on Multi-Modal Language Models, driving Nemotron technology. The role involves improving model abilities, generalization, and efficiency through data synthesis, retraining, and developing training recipes for mixed modalities (text, image, video, audio). It also includes translating research into production, exploring evaluation paradigms, and contributing to open-source communities. | PretrainPost-train | 9 |