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 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. | Agent |
| 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 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 DGX Cloud AI Infrastructure Software Engineer NVIDIA is seeking a Senior DGX Cloud AI Infrastructure Software Engineer to develop and optimize infrastructure software and tools for large-scale AI training, post-training, and inference. The role focuses on improving efficiency and resiliency of AI workloads, co-designing APIs, and enhancing AI platforms, requiring strong debugging and distributed systems experience. | ServePost-train | 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 GPU Networking Architect This role focuses on building and optimizing GPU communication kernels for large-scale AI systems, linking GPU computing with networking. The Senior GPU Networking Architect will leverage deep knowledge of GPU architecture to improve kernel efficiency, minimize latency, and overlap computation with communication. Responsibilities include developing GPU-resident communication primitives, profiling and tuning kernels, and collaborating with various teams to co-design communication strategies. The role requires strong CUDA programming, GPU architecture fundamentals, and systems-level C/C++ development. | Serve | 9 |
| Agent RL Infra Engineer NVIDIA is seeking an engineer to develop and productionize reinforcement learning (RL) capabilities for agent teams within an enterprise context. The role involves evaluating and adapting RL approaches, designing reward environments, operationalizing training backends, and integrating with existing ML services. Responsibilities include leading data curation, designing RL training loops, integrating with GPU infrastructure, building observability, and collaborating with various platform and customer teams. The ideal candidate has extensive experience in operationalizing fine-tuning and RL techniques, familiarity with distributed training frameworks and MLOps, and proficiency in relevant programming languages. | Post-trainAgent | 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 |
| Director of Engineering, End to End Autonomous Driving NVIDIA is seeking a Director of Engineering to lead the design and deployment of end-to-end autonomous driving systems. This role focuses on leveraging LLMs, VLMs, and VLAs for advanced planning and reasoning in vehicles and robotics, involving strategic leadership, team management, and technical oversight of ML model development and integration into safety-critical production environments. | ShipPost-train | 9 |
| Director, Perception - Autonomous Vehicles Director of Perception for Autonomous Vehicles at NVIDIA, leading teams to develop and deploy state-of-the-art deep learning models for real-time 3D world reconstruction and navigation. This role involves end-to-end ownership of the ML lifecycle, from data generation to deployment on NVIDIA DRIVE platforms, with a strong emphasis on safety-critical systems and cross-functional collaboration. | ShipData | 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 High-Performance AI Training Engineer Senior engineer focused on optimizing AI training workloads for performance on NVIDIA's hardware and software stack, from drivers to DL frameworks, impacting hardware/software roadmap and contributing to MLPerf benchmarks. | DataServe | 9 |
| Senior Research Engineer Neural Reconstruction Senior Research Engineer focused on neural reconstruction, developing and integrating neural rendering approaches for generative video, segmentation, and 3D reconstruction. The role involves adapting and fine-tuning generative models, collaborating on ML workflows, and contributing to core NVIDIA products. Requires strong Python and ML library skills, with experience in training and optimizing models. | Post-trainServe | 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 |
| Senior Software Architect, AI Networking NVIDIA is looking for a Senior Software Architect to design and optimize inference infrastructure for large language models running on GPU clusters. The role involves working across software and hardware domains to define deployment and scaling strategies, optimize latency and throughput, and collaborate with various teams to ensure high-performance solutions. | Serve | 9 |
| Senior AI Algorithms Software Engineer Senior AI Engineer at NVIDIA focused on developing and deploying foundation model applications (LLMs, VLMs, multi-modal) for manufacturing AI platforms, including computer vision, video understanding, and anomaly detection. The role involves technical leadership, co-development with customers, and driving research from concept to production. | ShipPost-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 |
| Senior Deep Learning Algorithm Engineer Senior Deep Learning Algorithm Engineer at NVIDIA focused on optimizing deep learning training and inference workloads on state-of-the-art hardware and software platforms. The role involves performance analysis, profiling, and implementation of production-quality software, with a focus on squeezing performance from hardware and software stacks. | ServePost-train | 9 |
| Senior GPU Architect, Deep Learning NVIDIA is seeking a Senior GPU Architect to design and enhance GPU architecture features specifically for deep learning workloads, covering both training and inference. The role involves developing simulators, mapping deep learning algorithms to hardware, and advancing parallel computation. Requires strong C++, C++, Perl, Python programming, and a background in computer architecture and high-performance computing. | Serve | 9 |
| Senior Deep Learning Computer Architect NVIDIA is seeking a Senior Deep Learning Computer Architect to design hardware accelerator and processor architectures for next-generation platforms, enabling state-of-the-art machine learning and data analytics algorithms. The role involves analyzing deep learning methods, proposing new features for acceleration, and studying their benefits, with a focus on LLM workloads and core deep learning kernels. | Serve | 9 |
| Senior Deep Learning Performance Architect Senior Deep Learning Performance Architect role at NVIDIA focused on developing and analyzing next-generation architectures for AI and HPC applications. This involves performance modeling, simulation, and understanding the interplay of hardware and software for deep learning training and inference. | ServePost-train | 9 |
| Senior Deep Learning Software Engineer, Inference Senior Software Engineer specializing in Deep Learning Inference, focusing on optimizing GPU-accelerated software for large-scale model serving and inference using frameworks like SGLang and vLLM. The role involves performance tuning, implementing latest algorithms, and scaling performance across NVIDIA accelerators. | Serve | 9 |
| Senior Research Engineer, Foundation Model Training Infrastructure Senior/Principal Engineer to build cutting-edge infrastructure for large-scale foundation model training in the Generalist Embodied Agent Research (GEAR) group, focusing on Project GR00T for humanoid robots. Responsibilities include designing and optimizing distributed training systems, data loaders, and monitoring tools for multimodal foundation models. | PretrainPost-train | 9 |
| Senior Software Architect, AI Networking Senior Software Architect role focused on designing and optimizing large-scale LLM inference infrastructure on GPU clusters, involving system-level optimizations for latency, throughput, and cost-efficiency. | Serve | 9 |
| Senior LLM Train Framework Engineer NVIDIA is seeking a Senior LLM Train Framework Engineer to contribute to the Megatron Core team, focusing on building and developing open-source frameworks for LLM and Multimodal foundation model pretraining and post-training. The role involves addressing AI training and inference challenges across the model lifecycle, enhancing distributed training strategies, and optimizing performance on NVIDIA GPUs. | PretrainPost-train | 9 |
| AI Computing Software Development Engineer, TensorRT-LLM NVIDIA is seeking a Software Development Engineer for its TensorRT-LLM team to develop and optimize LLM inference software for various platforms. The role involves performance analysis, tuning, and contributing to the architecture and hardware design, with a focus on scaling inference capabilities. | Serve | 9 |
| Senior Manager, Interactive World Model Platforms Engineering leader to scale NVIDIA's interactive world-model platform (OmniDreams, FlashDreams) into an industry standard, focusing on production engineering, performance, and developer/researcher success across AV, robotics, rendering, and simulation. | ShipServe | 8 |
| Senior Manager, AlpaSim and AlpaDreams Production Engineering leader to scale NVIDIA's interactive world-model platform (OmniDreams, FlashDreams, AlpaSim) into an industry standard, focusing on production engineering, performance, and developer ecosystem growth for applications in AV, robotics, rendering, and simulation. | ShipServe | 8 |
| Senior Systems Software Engineer, Semiconductor Systems Inspection Senior Software Engineer to develop AI products for semiconductor inspection, focusing on computer vision, multimodal AI, anomaly detection, model compression, and deployment optimization. The role involves building models, adaptation workflows, and inference pipelines for production environments, with a focus on advancing roadmap progress and delivering practical systems. | ShipServe | 8 |
| AI Computing Software Development Engineer, LLM Inference Software Development Engineer focused on LLM inference software (TensorRT LLM and TensorRT Edge LLM) at NVIDIA, involving crafting, scaling, performance analysis, optimization, and tuning of inferencing software for GPUs. The role requires strong C/C++ skills, experience with deep learning frameworks, and collaboration across teams. | Serve | 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 |
| Senior Inference Engineer, AIConfigurator for Dynamo Senior Inference Engineer role focused on optimizing LLM inference deployment configurations using AIConfigurator, integrating GPU systems, model serving, and performance modeling for NVIDIA platforms. | Serve | 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 |
| Senior Software Engineer - Autonomous Driving Simulation Senior Software Engineer role focused on building and scaling realistic virtual environments for autonomous vehicle (AV) training, testing, and validation. The role involves developing simulation platforms, domain adaptation technologies (Real2Sim, Sim2Real), and optimizing large-scale simulation workflows. It requires strong programming skills in Python, C/C++, PyTorch, and experience with modern software engineering and infrastructure tools, as well as a background in computer vision, deep learning, or simulation systems. | DataAgent | 8 |
| AI Computing Software Development Engineer, TensorRT NVIDIA is seeking an AI Computing Software Development Engineer for its TensorRT team to craft and develop robust, scalable inferencing software for GPUs. The role involves performance analysis, optimization, tuning, and collaborating with various teams to guide the direction of machine learning inferencing. Requires a Masters or higher degree, 2+ years of software development experience, strong C/C++ skills, and familiarity with deep learning frameworks. | Serve | 8 |
| AI Computing Development Engineer, TensorRT and TensorRT-LLM AIGV NVIDIA is seeking software engineers to develop and optimize inferencing software (TensorRT/TensorRT-LLM) for AI computing. The role involves performance analysis, tuning, integrating AI advancements, and collaborating across teams to shape machine learning inferencing on NVIDIA platforms. Requires strong programming skills, experience with deep learning frameworks, and a proactive approach. | Serve | 8 |
| DL System Software Engineer - AI Platform NVIDIA is seeking a DL System Software Engineer to join their AI Platform team. The role involves developing and building solutions for scheduling large-scale AI training and inference workloads on GPU clusters, optimizing performance and efficiency for large models. The engineer will work on core infrastructure, resource management, and GPU scheduling, contributing to NVIDIA's AI platform. | ServePost-train | 8 |