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 Researcher, Diffusion Senior Deep Learning Researcher at NVIDIA focusing on diffusion-based technologies and multi-modal learning. The role involves inventing and building new techniques, combining diffusion models with LLMs, and publishing research findings. It requires a PhD, research experience, and a strong publication record in leading AI conferences and journals. | PretrainPost-train | 10 |
| Senior Data Scientist - Security and Networking Research Senior Data Scientist role focused on AI cybersecurity, developing agentic AI systems, optimizing models, and leveraging data pipelines for NVIDIA's networking and data center security products. | Agent |
| 9 |
| AI Workload and Networking Research Architect Research Architect role focused on optimizing AI workloads and networking infrastructure for NVIDIA's AI computing platforms, involving modeling, analysis, and influencing future product roadmaps. | ServePost-train | 9 |
| Senior AI Safety Red Teamer NVIDIA is seeking a Senior AI Safety Red Teamer to improve the safety and security posture of their AI models, systems, and infrastructure. The role involves hands-on safety and security research, developing tools to expose weaknesses, defining safety standards, and partnering with cross-functional teams. Requires 5+ years of experience in AI safety/security and offensive cybersecurity, with knowledge of AI vulnerabilities, LLMs, MLLMs, Generative AI, Agents, and RAG workflows, and strong Python programming skills. | Eval GateAgent | 9 |
| Senior LLM Agents Architect Senior LLM Agents Architect role focused on designing and building agentic AI systems to optimize GPU compute kernels, analyze architectural simulations, and drive improvements in hardware design and developer efficiency. The role involves hands-on CUDA programming, collaboration with hardware architects, and building automated agentic workflows for performance forensics and architectural studies. | Agent | 9 |
| Senior Research Scientist Research Scientist role focused on core AI research in machine learning methods for efficient, reliable, and adaptive AI systems. The role involves developing new approaches for efficient model training, reasoning models, retrieval-based AI systems, and agentic learning, with a strong emphasis on experimental validation and publication, and potential translation into practical NVIDIA AI systems. | PretrainAgent | 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 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 |
| Senior Applied AI Researcher, Digital Biology Senior Applied AI Researcher at NVIDIA Israel focusing on deep learning for biology. The role involves developing foundational, generative, and agentic AI models, including LLMs and multimodal systems, for biological data and digital twin applications in healthcare. Responsibilities include research, implementation, evaluation, and collaboration in an interdisciplinary team. | AgentPost-train | 9 |
| Senior 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 |
| 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 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 Software Research Architect, AI Networking NVIDIA is seeking a Senior Software Research Architect to improve the framework for large-scale LLM learning and prediction. This role focuses on designing and optimizing systems for generative AI workloads on advanced GPU clusters, specifically leveraging the NVIDIA Spectrum-X Networking Platform to define deployment and scaling strategies. The architect will work on inter-node communication, compute scheduling, and system-level optimization, collaborating with engineers and researchers to enable generative AI technologies in real-world applications. | ServePretrain | 9 |
| Senior Deep Learning Researcher, Diffusion Senior Deep Learning Researcher at NVIDIA focusing on diffusion-based technologies and multi-modality. The role involves inventing and building new techniques, publishing findings, and contributing to NVIDIA's AI enterprise software. Requires a PhD, research experience, and publications in top-tier conferences. Experience with image/video understanding and LLMs is essential. | PretrainPost-train | 9 |
| 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 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 |
| Software Engineer, AI Networking Architect NVIDIA is seeking an AI Networking Architect to optimize AI workload performance by analyzing AI models, distributed training, and inference workloads, and translating research insights into software, hardware, and networking architecture requirements. The role involves building platforms and simulations to evaluate trade-offs and influence future NVIDIA product roadmaps. | ServeAgent | 8 |
| Senior Data and AI Solutions Engineer Senior Data and AI Solutions Engineer at NVIDIA to partner with engineering teams, transform data, BI, automation, and agentic AI into measurable engineering productivity gains. Develop and deploy production-grade AI and data solutions, including agentic systems and RAG pipelines, from concept to deployment. | AgentServe | 8 |
| Senior Solutions Architect - Deep Learning Senior Solutions Architect focused on Deep Learning and Agentic AI tools, collaborating with customers to build solutions using NVIDIA technology. Responsibilities include technical sales support, integrating NVIDIA tech into HPC, championing Deep Learning internally, and developing demo solutions. | ServeAgent | 8 |
| Senior Software Engineer, Deep Learning Inference Senior Software Engineer focused on optimizing deep learning inference for LLMs and omnimodal architectures on NVIDIA hardware, including GPU kernel tuning, distributed inference, and contributing to open-source libraries. | Serve | 8 |
| Senior Hardware Architect, Deep Learning GPU and System Senior Hardware Architect role focused on designing next-generation GPUs and systems to advance the state of AI, analyzing deep learning workloads, and proposing new features for acceleration. Requires 8+ years of experience in performance, hardware architecture, and deep learning analysis. | Serve | 8 |
| Senior Performance Engineer - LLM Inference Frameworks NVIDIA is seeking a Senior Performance Engineer to optimize LLM inference infrastructure on GPUs, focusing on throughput, memory efficiency, and scalability. The role involves designing and implementing high-performance pipelines, profiling, tuning model execution, and innovating techniques like Speculative Decoding and quantization. Experience with deep learning frameworks and performance debugging is required. | Serve | 8 |
| Senior AI Software Development Engineer, TensorRT-LLM NVIDIA is seeking a Senior AI Software Development Engineer for its TensorRT-LLM team. The role involves crafting and developing robust, scalable inference software for LLMs, focusing on performance analysis, optimization, and tuning. The engineer will write high-quality C++/Python code for the core backend software and collaborate with various teams to guide deep learning inference direction. A strong background in software development, LLM inference techniques, and deep learning frameworks is required. | Serve | 8 |
| Senior Applied Machine Learning Scientist Senior Applied ML Scientist at NVIDIA to develop ML and data-science solutions for predictive-maintenance, root-cause analysis, and AIOPS, driving projects from ideation to production within the Applied Networking AI group. | Ship | 8 |
| Senior AI Developer Technology Engineer Senior Developer Technology Engineer focused on researching and developing techniques to GPU accelerate AI workloads, optimizing performance on modern CPU and GPU architectures, and collaborating with the developer community and internal teams to influence next-generation hardware and software design. | Serve | 8 |
| Senior AI Formal Verification Engineer Senior AI Formal Verification Engineer to enhance in-house formal tools with AI, leveraging LLMs and ML to automate intent-to-proof workflows and debug complex chips. Role involves architecting methodologies, developing AI agents, and creating AI-based debug assistants. | AgentServe | 8 |
| Senior AI and MLOps Engineer - Security and Networking Research Senior AI/MLOps Engineer focused on building and maintaining infrastructure, tools, and processes for the AI lifecycle in a production environment, specifically for security and networking AI models and agents. The role involves optimizing models, deploying agentic systems and LLMs, designing training/inference pipelines, and collaborating with various engineering teams. | AgentServe | 8 |
| Manager, AI and Software Manager for an AI team at NVIDIA, focusing on developing and leading the implementation of cutting-edge AI applications including RAG, LLMs, AI Agents, recommendation engines, and classical AI models. The role involves managing a team of 6-8 engineers, providing technical leadership, and collaborating with cross-functional teams to identify and implement AI opportunities. | AgentData | 8 |
| Senior High-Performance System Architect NVIDIA is seeking a Senior High-Performance System Architect to define and research NVL system architecture for large-scale, high-performance computing clusters used to train advanced AI models. The role involves working across algorithms, software, firmware, and hardware, collaborating with cross-functional teams, and analyzing simulation results. | ServePretrain | 8 |
| Senior LLM Agents Architect Senior LLM Agents Architect at NVIDIA to build and deploy agentic systems integrating LLMs with domain tools for HW/SW engineering workflows. Focus on developing end-to-end agent flows for simulation analysis, kernel optimization, and developer efficiency, including prototyping, integration, evaluation, and mentoring. | Agent | 8 |
| Senior Software Architect, Advanced Development Senior Software Architect focused on accelerating networking and building AI data centers, researching transport functions for AI workloads, and leading architectural efforts in distributed AI, deep learning, HPC, SDN, virtualization, and storage. | Serve | 8 |
| Senior AI Storage Software Architect NVIDIA is seeking a Senior AI Storage Software Architect to define and design the next generation of storage solutions for AI workloads, including training, inferencing, KV cache, and RAG. The role involves researching AI storage workloads, optimizing them, designing the storage software stack and APIs, leading POCs, and driving hardware features for DPUs and NICs. Requires 5+ years of storage experience and familiarity with AI applications and technologies. | ServeData | 8 |
| Senior AI Security Architect NVIDIA is seeking a Senior AI Security Architect to define and evolve secure SDLC methodologies for AI products using AI-assisted and agentic development environments. The role involves designing frameworks for secure adoption of AI coding assistants and autonomous agents, architecting secure agentic development environments, and integrating AI-native workflows into the SDLC. The candidate will also define security guardrails and validation mechanisms for AI-assisted software development processes. | Agent | 7 |
| Senior Networking Performances Architect NVIDIA is seeking a Senior Networking Performances Architect to shape the future of high-performance and ML/AI computing. This role will analyze network feature performance for AI workloads on large-scale HPC clusters, develop network behavior models, and generate insights for next-generation products. The ideal candidate will have a strong background in system engineering/architecture, performance research, Python, and a good understanding of AI models and large-scale networks. | Serve | 7 |
| Senior HPC and AI Operation Engineer NVIDIA is seeking a Senior HPC and AI Operation Engineer to manage and maintain large-scale HPC/AI clusters, including job scheduling, CI/CD pipelines, and troubleshooting from bare metal to application level. The role involves supporting R&D activities and engaging in POCs, requiring strong Linux administration, scripting, and knowledge of HPC/AI technologies, storage, and networking. | Serve | 7 |
| Senior Software AI Engineer, LLM Solutions Senior Software AI Engineer to architect, develop, and support end-to-end software tools, focusing on integrating AI/ML solutions and agentic workflows into production systems for hardware platforms. Responsibilities include backend services, data pipelines, and user interfaces, with an emphasis on autonomous reasoning and action. | Agent | 7 |
| Software Manager, Infra Tools AI Team This role is for a Software Engineering Manager to lead a team focused on building AI/LLM-powered infrastructure and tooling for the SONiC Network OS development lifecycle. The team will develop LLM-based tools for failure analysis, test coverage generation, and accelerating product quality, aiming to improve regression analysis and test efficiency. | Agent | 7 |
| Senior Software Engineer, Data Center Workloads – Infrastructure Senior Software Engineer focused on developing and executing software-driven characterization workflows for AI workloads on NVIDIA rack-scale systems. The role involves analyzing, characterizing, and optimizing power, performance, and drive behavior across the full stack, including GPUs, CPUs, networking, and system software. Key responsibilities include building automated frameworks for data collection and analysis, investigating system behavior, and supporting new platform bring-up. | Serve | 7 |
| Senior Performance Engineer Senior Performance Engineer at NVIDIA focusing on optimizing AI and HPC workloads on GPU/CPU clusters. Responsibilities include profiling, benchmarking, identifying bottlenecks, and developing performance analysis tools, with a strong emphasis on high-performance networking and telemetry. | Serve | 7 |
| Senior Software Engineer - Verification AI Infrastructure Senior Software Engineer focused on building and optimizing scalable software automation systems with AI/ML integration for NVIDIA's Data Center environments. The role involves developing automation and validation tools, improving system performance, and troubleshooting complex issues in distributed systems. | Serve | 7 |
| Senior Software Solutions Architect - NVIS Senior Software Solutions Architect at NVIDIA, focusing on helping customers deploy and integrate NVIDIA's AI and machine learning software stacks (like NVIDIA AI, Run:ai, Mission Control) into their existing MLOps environments. This involves collaborating with infrastructure admins, data scientists, and ML engineers, developing integration scripts, diagnosing performance issues, and improving deep learning model performance within cloud-native environments. | Serve | 7 |
| Manager, AI Networking Performance Research and Analysis Manager for AI Networking Performance Research and Analysis at NVIDIA, focusing on optimizing networking technologies (NIC, Switch) for AI workloads like LLM training and inference. The role involves end-to-end performance strategy, from pre-silicon modeling to GA, and building telemetry frameworks and dashboards for performance tracking and root cause analysis. Requires strong experience in high-performance networking, cluster performance, and managing engineering teams, with a focus on Python, Bash, and C/C++. | ServeAgent | 7 |
| Senior AI and LLM Solutions Software Engineer Software Engineer role focused on developing AI and LLM-based solutions to enhance chip design and verification processes. Requires 5+ years of software development experience with at least 2 years in AI/LLM solutions. | Agent | 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 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 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 AI Networking System Architect NVIDIA is seeking a Senior AI Networking System Architect to define and develop the architecture for next-generation NVL systems that power large-scale high-performance computing clusters for AI research and various industries. The role involves end-to-end system architecture, research across algorithms, software, firmware, and hardware, and developing simulation models for performance testing. | Serve | 7 |
| Senior VLSI CAD and AI Automation Engineer Senior Engineer to develop and integrate AI/ML solutions for VLSI design automation, focusing on improving workflows, deploying algorithms, and maintaining automation infrastructure. Requires strong Python, AI/ML framework experience, and knowledge of VLSI physical design and EDA tools. | Serve | 7 |
| Senior Software Advanced Developer Develop and prototype advancements in distributed training and inference using NVIDIA's Spectrum-X AI fabric, focusing on improving AI app-networking connections through communication refinement, congestion control, NIC firmware coding, and switch SDK features to enhance AI factory efficiency and large-scale AI system development, scaling, and speed. | ServePretrain | 7 |