Currently tracking 440 active AI roles, down 50% 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 Solutions Architect, GPU System NVIDIA is seeking a Senior Solutions Architect with expertise in GPU server platforms and AI infrastructure to help customers design, deploy, and optimize NVIDIA-based AI factories. The role involves leading presales and architecture engagements, designing end-to-end AI data center solutions, and supporting the deployment of NVIDIA platforms for LLM training and inference workloads. | ServeAgent | 7 |
| Solution Architect - Top AI Labs Solution Architect role focused on designing AI computing platform architectures and supporting top AI Labs and model builders in integrating NVIDIA technologies for Deep Learning, HPC, Robotics, and Signal Processing applications. Requires experience with ML, data analytics, computer vision, and parallel programming on cloud/HPC architectures. | Serve |
| 7 |
| Senior Systems Performance Engineer Senior Systems Performance Engineer at NVIDIA focused on validating and optimizing GPU accelerated computing products, specifically for Deep Learning/AI applications. The role involves system architecture, performance modeling, and developing stress/performance testing strategies for ML/LLM workloads. | Serve | 7 |
| Manager, Solution Engineering for NVIDIA Experience Manager for a solution engineering team focused on customer support of NVIDIA software products (AI Enterprise, Omniverse, vGPU). The team will use AI to triage customer issues, identify solutions, and improve processes. Requires leadership, problem-solving, and AI/ML expertise. | AgentServe | 7 |
| Senior Software Engineer - NIM Platform SDK and Framework Senior Software Engineer to own and evolve the core NIM Platform SDK and microservice framework, powering NVIDIA Inferencing Microservices (NIM). Focus on high-performance systems programming, multi-cloud abstractions, and API framework development for production-ready AI inference at scale. | Serve | 7 |
| Solutions Architect - DevOps NVIDIA is seeking a Senior Cloud Infrastructure and DevOps Solutions Architect to manage and optimize large-scale AI/HPC infrastructure, focusing on Kubernetes, automation, monitoring, and customer engagement for AI operational projects. | Serve | 7 |
| Solutions Architect, Financial Services - Data Center and Infrastructure NVIDIA is seeking a Solutions Architect with expertise in AI and data center infrastructure for the financial services sector. The role involves designing and deploying AI solutions, optimizing data center architectures, and collaborating with customers and internal teams to address complex technical challenges. Requires strong experience in accelerated computing, pre-sales, and large-scale systems management. | Serve | 7 |
| Senior Networking Solution Test Engineer Senior Networking Solution Test Engineer at NVIDIA focusing on Ethernet-based AI clusters. Responsibilities include designing test requirements, building testbeds, owning end-to-end cluster troubleshooting, debugging networking components (NCCL, RoCE/RDMA), defining tests for automation, running regression/performance/functional/scale testing, and profiling deep learning workloads. Requires 5+ years of Linux networking/system-level testing, strong debugging skills, expertise in NIC validation, and knowledge of AI networking libraries and protocols. | Serve | 7 |
| Senior Architect, AI Solutions Engineering This role focuses on architecting and scaling internal AI solutions for NVIDIA's cloud infrastructure, managing tools for AI development, identifying performance bottlenecks, and guiding engineers in solving complex AI-related problems. The role involves a mix of building AI agentic workflows and optimizing the underlying inference infrastructure. | AgentServe | 7 |
| Senior Software R&D Engineer, Digital Logic Synthesis NVIDIA is seeking an EDA Software R&D Engineer to develop internal EDA tools by fusing advances in parallel computing, machine learning, and novel algorithms in C++. The role involves inventing and developing new algorithms for RTL synthesis, digital logic optimization, and physical-aware synthesis techniques, with a focus on prototyping and evaluating ML methods to guide optimization decisions and integrating successful approaches into production. | Serve | 7 |
| Senior Software Engineer, AI Frameworks Senior Software Engineer to integrate NVIDIA Grove project into AI frameworks like Dynamo, Ray, and PyTorch, focusing on production-grade software for adoption, scaling, and operation. Responsibilities include building adapters, optimizing performance for distributed training/inference, and improving observability. | Serve | 7 |
| Senior Retail Developer Relations Manager, Digital Commerce Senior Developer Relations Manager for NVIDIA's Retail team, focusing on digital commerce. The role involves engaging with AI-native startups and software partners to help them build, optimize, and scale agentic AI solutions on NVIDIA platforms, including Nemotron models and Nemo Microservices. Responsibilities include acting as a technical point of contact, building sample applications, gathering developer feedback to influence product roadmap, and supporting startup integration and go-to-market strategies. | Agent | 7 |
| Senior System Software Architect, AI and GPU Networking This role focuses on architecting and optimizing NVIDIA's GPU Networking offerings for AI workloads, including distributed AI, deep learning, inference, and model serving. It involves co-designing hardware features and leading the architecture and development of new technologies and runtime systems for AI data centers. | ServePost-train | 7 |
| Senior Software Engineer, Multi-Sensor-Fusion - Autonomous Vehicles Senior Software Engineer at NVIDIA focused on developing and productizing multi-sensor fusion algorithms for obstacle perception in autonomous driving solutions. The role involves designing, developing, and improving tracking and fusion algorithms to enhance the accuracy, robustness, and efficiency of detecting dynamic obstacles, with a strong emphasis on meeting product requirements for safety and latency. | Ship | 7 |
| Senior Dev Platform Engineer, AI-Native Development Senior Dev Platform Engineer to build infrastructure for AI-assisted software development, focusing on workflow automation, multi-agent collaboration, AI-powered reviews, and enterprise tool integration. | Agent | 7 |
| Senior Software Engineer, Mapping - Autonomous Vehicles NVIDIA is seeking a Senior Software Engineer for their Autonomous Vehicles Mapping team. The role involves designing and developing algorithms for map-based driving products, architecture design, and implementing efficient in-vehicle code. Key responsibilities include researching and developing transformer models for graphs, implementing evaluation frameworks for LLMs, fine-tuning pretrained models, building automated map content analysis, and creating scalable map-building workflows. The role requires a background in computer vision, 3D geometry, machine learning, and heavy AI tool usage for development. | AgentPost-train | 7 |
| Senior ASIC Methodology Engineer - LPU Division This role focuses on inventing and pioneering AI-driven hardware development methodologies for ASICs, aiming to improve predictability, convergence, and turnaround time in the ASIC development lifecycle. The engineer will leverage data to enable AI models and analytics, establish metrics for improvement, share best practices, and track advances in AI, EDA, and hardware design research. | Serve | 7 |
| Technical Program Manager - Enterprise Software Release and Execution Technical Program Manager to drive and deliver Enterprise software releases, focusing on Generative AI innovations, LLMs, and ML. The role involves managing technical alignment with partners, driving release planning with engineering and product teams, setting quality standards, and ensuring successful software product delivery. Requires strong program management experience, deep understanding of AI/ML frameworks, and ability to lead cross-functional teams. | Ship | 7 |
| Senior Technical Program Manager - Autonomous Vehicles Senior Technical Program Manager to lead end-to-end development of autonomous driving features, managing software development execution across multiple engineering teams for NVIDIA's autonomous vehicle platform. | Ship | 7 |
| Senior ASIC Methodology Engineer - LPU Division This role focuses on inventing and pioneering AI-driven and sophisticated automation techniques to transform the way ASICs are conceived, explored, and brought to closure, improving predictability, convergence, and turnaround time in the ASIC development lifecycle. The role involves identifying and leveraging data for AI models, establishing metrics, sharing best practices, and tracking advances in AI and hardware design research. | Serve | 7 |
| Senior Localization Engineer - Autonomous Vehicles Senior Localization Engineer for Autonomous Vehicles at NVIDIA, focusing on building robust map-enhanced autonomous driving solutions with ASIL safety requirements. The role involves localizing to map data for precise environmental modeling, ensuring algorithms perform across diverse data and conditions, and writing efficient C++ code using CUDA for GPGPU programming, with a focus on productizing software for automotive standards. | Agent | 7 |
| Senior Technical Product Manager, Planning and Controls - Autonomous Vehicles NVIDIA is seeking a Senior Technical Product Manager to define and build the future of their self-driving software, focusing on planning and controls for autonomous vehicles. The role involves understanding technical aspects of classical and AI planners, identifying problems, designing solutions, prioritizing roadmaps, and collaborating with engineering teams to deliver advanced planning and controls technology for L4 robotaxis. | Agent | 7 |
| ASIC Methodology Engineer - New College Grad 2026 This role focuses on inventing and pioneering AI-driven automation techniques to transform ASIC development methodology, improving predictability, convergence, and turnaround time. The engineer will identify bottlenecks, curate data for AI models, establish metrics, share best practices, and track advances in AI and hardware design research. | Serve | 7 |
| Product Manager - Open Models Product Manager for Open Models at NVIDIA, focusing on community models like Nemotron, Llama, Gemma, DeepSeek, and Qwen. The role involves collaborating with model builders, tracking trends, supporting product marketing, enabling support for open models across inference, fine-tuning, and evaluation, and facilitating feedback loops. Requires 7+ years of product management experience, knowledge of the community model ecosystem, and comfort with Python code. | Post-trainServe | 7 |
| Senior Solution Architect, AI Compute Engineer - NVIS Senior Solution Architect, AI Compute Engineer at NVIDIA, focusing on deploying, managing, and maintaining AI/HPC infrastructure in Linux environments for customers. The role involves customer interaction, system design, automation, and providing feedback to internal teams. Requires strong Linux system administration, scripting, and cluster management skills, with a preference for experience in distributed computing, high-speed networking, automation tools, and Kubernetes for AI/ML workloads. | Serve | 7 |
| Solutions Architect Intern, Robotics - 2026 NVIDIA is seeking a Solutions Architect Intern focused on Robotics to support local partners and customers in Japan. The intern will work on setting up data augmentation pipelines and analyzing synthetic data's impact on VLA performance and generalizability, using tools like Isaac Sim and Cosmos. | DataAgent | 7 |
| Senior AI Developer Technology Engineer, Financial Sector Senior AI Developer Technology Engineer focused on optimizing AI and HPC workloads for financial markets on NVIDIA's computing platforms. This role involves research, development, performance analysis, and collaboration with the developer community and internal teams to influence hardware and software design. | Serve | 7 |
| Solutions Architect, AI and ML Solutions Architect role focused on helping customers adopt NVIDIA's GPU hardware and software for building and deploying AI/ML and data analytics solutions on cloud platforms. Involves customer engagement, technical content delivery, and PoC development. | ShipServe | 7 |
| Senior Robotics DevTech Engineer NVIDIA is seeking a Senior Robotics DevTech Engineer in China to act as a technical bridge between the robotics community and the global NVIDIA Omniverse platform team. The role involves supporting local robotics partners, building expertise in Isaac workflows, enabling partner iteration, and contributing to the product roadmap through market intelligence. Responsibilities include local ecosystem triage and support, developing expertise in robotics simulation tools, translating partner needs to engineering, and generating regional insights. | AgentData | 7 |
| Solutions Architect, AI and ML This role focuses on assisting customers in adopting NVIDIA's GPU hardware and software for building and deploying AI/ML and data analytics solutions on cloud platforms. The Solutions Architect acts as a technical expert, engaging with developers, researchers, and data scientists, and partnering with sales teams to drive end-to-end technology solutions. | Serve | 7 |
| Senior Networking Solution Test Engineer – AI Cluster Debugging Senior Networking Solution Test Engineer focused on debugging large-scale AI clusters, NVLink, Ethernet, and InfiniBand. The role involves designing tests, building testbeds, end-to-end troubleshooting, collaborating with development teams on networking components, and profiling deep learning workloads. | Serve | 7 |
| Software Engineer, Robotics - Isaac Lab Software Engineer role focused on building and maintaining CI/CD pipelines, automation, and performance optimization for a large-scale robotics simulation and learning platform (Isaac Lab). The role involves infrastructure for ML and simulation systems, benchmarking, profiling, and supporting issue triage. | DataAgent | 7 |
| Software Engineer, Robotics - Isaac Lab Software Engineer for NVIDIA's Isaac Lab team, focusing on developing and extending physics simulation APIs for robot learning. The role involves debugging simulation issues, translating research into APIs, and engaging with the robotics community. Requires extensive Python and deep learning stack experience, with a strong background in physics simulation or robotics control, and experience in reinforcement learning and imitation learning. | DataAgent | 7 |
| Devtech Compute Engineer NVIDIA is seeking a Devtech Compute Engineer to develop performance-critical code for deep learning applications, focusing on accelerating model training and inference on GPUs, particularly for recommender systems. The role involves optimizing CUDA kernels, integrating solutions into open-source libraries, and collaborating with hardware teams to define future solutions across various domains like LLM, Recsys, Robotics, and Assisted Driving. | ServeData | 7 |
| Senior System Software Architect, AI and GPU Networking This role focuses on architecting and enhancing NVIDIA's GPU Networking offerings to accelerate AI workloads, including distributed AI, deep learning, inference, and model serving. It involves co-designing hardware features and leading the architecture and design of new technologies for AI data centers. | ServePost-train | 7 |
| Senior Developer Technology Engineer This role focuses on optimizing GPU-accelerated code for training and inference performance of large-scale recommender systems. It involves designing and implementing high-performance C++/CUDA components, developing tests, and optimizing data flows between GPUs, NICs, and SSDs. The ideal candidate has experience with C++, CUDA, Python, GPU performance profiling, and ideally, building or optimizing recommender systems or production ML workloads on GPUs. | ServeShip | 7 |
| Senior Compiler Engineer - DL NVIDIA is seeking a Senior Compiler Engineer for its Deep Learning Compiler (DLC) team. This role involves analyzing deep learning networks, developing compiler optimization algorithms, and collaborating with framework and hardware teams to accelerate deep learning inference. The compiler is critical for delivering leading inference performance, fast build times, and reduced memory footprints across various platforms. | Serve | 7 |
| Senior Solutions Architect, HPC and AI Senior Solutions Architect focused on deploying, debugging, and optimizing large-scale AI training and inference workloads on GPU clusters. The role involves collaborating with internal teams and external customers to solve complex HPC and AI challenges, focusing on performance, stability, and scaling of AI workloads. | ServeData | 7 |
| Senior Application Engineer Senior Application Engineer role focused on accelerating materials and chemical discovery using AI, involving collaboration with developers and researchers on building, fine-tuning, and optimizing AI models and agentic workflows. The role requires experience with AI frameworks, benchmarking domain-specific models, and communicating technical value. | Post-trainAgent | 7 |
| Neural Graphics Engineer NVIDIA is seeking a Neural Graphics Engineer to work on technologies at the intersection of AI and real-time rendering. The role involves implementing and optimizing neural graphics techniques, prototyping neural rendering and generative 3D approaches, and contributing to the graphics software stack. Experience with C++, Python, computer graphics, and machine learning is required, with a preference for hands-on experience in neural rendering or generative AI for 3D content. | ServeData | 7 |
| AI Benchmarking and Telemetry Engineer - NVIS NVIDIA is seeking an AI Benchmarking and Telemetry Engineer to develop and execute benchmarking approaches for large-scale HPC and AI clusters, and build telemetry frameworks to capture system performance data from host level through network and data center infrastructure. The role involves collaborating with engineering teams, customers, and partners to ensure platform performance and reliability, and maintaining knowledge of industry-standard benchmarks. | Serve | 7 |
| Senior Site Reliability Engineer - Datacenter Automation NVIDIA is seeking an experienced Senior Site Reliability Engineer to scale its AI Infrastructure, focusing on production systems for large GPU clusters used in AI workloads. The role involves implementing monitoring, health management, and automation for GPU asset provisioning, configuration, and lifecycle management across cloud providers, ensuring reliability, availability, and scalability. The engineer will collaborate with teams to maintain reliable and performant AI clusters, evaluate system failures, and improve services. | Serve | 7 |
| Senior AI Applications Engineer - Finance Senior AI Applications Engineer for NVIDIA's Finance team, focusing on building and scaling AI-powered interfaces and applications for non-technical finance employees. The role involves end-to-end delivery, integrating AI tools, securing services, and translating prototypes into production-ready software. | Agent | 7 |
| HPC and AI Cluster Engineer NVIDIA is seeking an HPC and AI Cluster Engineer to manage and maintain large-scale HPC/AI clusters, including Linux job scheduling, CI/CD pipelines, and troubleshooting from bare metal to application level. The role involves supporting R&D activities and POCs, working with cutting-edge hardware and software, and collaborating with researchers and customers to develop solutions. | Serve | 7 |
| Senior System Software Engineer - Robotics Senior System Software Engineer focused on integrating and deploying AI models (foundation models, embodied AI, RL policies) into humanoid robot systems, optimizing system performance, and developing validation workflows. This role involves working with robotics, systems, AI, and simulation experts to enable real-world deployment of embodied AI. | AgentData | 7 |
| Platform Architecture Engineer, GeForce NOW This role focuses on architecting and optimizing cloud infrastructure for AI workloads, specifically for the GeForce NOW service. The engineer will perform deep performance and power analysis of GPU/CPU microarchitecture for AI inference, deploy and optimize AI/gaming kernels, and build models to guide platform decisions balancing performance, power, and cost. The role requires strong programming skills and experience with AI models and performance analysis methodologies. | Serve | 7 |
| GPU Computing Engineer - Autonomous Driving NVIDIA is seeking a GPU Computing Engineer in Shanghai to analyze Deep Learning models and investigate TensorRT stability and performance issues. The role involves working with a global team on CUDA and TensorRT development, extracting feature requirements, and generating documentation. Requires strong C/C++/Python skills, knowledge of inference networks, and experience with deep learning frameworks like PyTorch. | Serve | 7 |
| Senior Software Engineer, AI Resiliency Senior Software Engineer to lead the development of AI software resiliency for large-scale AI supercomputers (100,000+ GPUs), focusing on features like fast checkpoint-recovery, error detection/isolation, and straggler/hang detection to minimize cluster downtime. The role involves hands-on C++ and Python coding, optimization for AI workloads, fault tolerance, debugging, and collaboration with AI researchers and hardware/software teams to integrate resiliency into AI frameworks. | Serve | 7 |
| Senior Applications Software Engineer, Planning and Control Senior Software Engineer role focused on shaping application architecture for autonomous vehicles, integrating and adapting NVIDIA solutions, and refining planning and control systems. Requires strong background in control theory, motion planning, deep learning, and C++/Python development. | Agent | 7 |
| Senior System Software Engineer - Video Senior System Software Engineer role focused on building and optimizing system software for NVIDIA's video subsystem, involving AI/ML and computer vision algorithms for video compression and multimedia processing on Tegra Application Processors and GPUs. Requires strong C/C++ and Python skills, experience with video compression standards, and a track record in pre/post-processing algorithms. | Serve | 7 |