Currently tracking 440 active AI roles, down 53% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$575k (avg $262k).
NVIDIA currently has 496 active AI-related job listings. The majority of these roles, 52%, are focused on serving infrastructure, with agents representing another significant segment at 23%. Engineering is the dominant function, with 441 positions. The United States leads hiring geographies with 287 roles, followed by China with 64. Frequent tech tags include model_serving, inference_infra, and agent_orchestration, suggesting a focus on deployment and management of AI models. Over the last 30 days, NVIDIA posted 214 new AI roles, a 27% decrease compared to the previous 30-day period.
NVIDIA currently has 487 active AI-related roles in our index. The most common open titles are: Deep Learning Performance Architect (4), Senior Deep Learning Performance Architect (4), AI Research Scientist (3), Developer Technology Engineer - AI (3), Manager, Deep Learning Algorithms (3). Most positions are in Engineering and Research.
NVIDIA's active AI hiring is concentrated in: serving infrastructure (54%), agents (21%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
NVIDIA is hiring AI talent in: United States (286 roles), China (59 roles), Israel (50 roles), Germany (21 roles).
Job postings at NVIDIA most frequently reference: model serving, inference infra, agent orchestration, llm observability, multimodal.
In the past 30 days, NVIDIA has posted 110 new AI-related roles. That is a -50% change versus the prior 30 days (218 → 110).
| Title | Stage | AI score |
|---|---|---|
| Senior AI 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 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 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 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 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 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 |
| 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 |
| 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 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 |
| Senior Software Architect - Deep Learning and HPC Communications Senior Software Architect role at NVIDIA focusing on designing and implementing next-generation data center platforms and scalable communication software for AI and HPC workloads. The role involves investigating performance bottlenecks, exploring innovative HW/SW solutions, building proofs-of-concept, and using simulation to evaluate large GPU cluster performance. | Serve | 7 |
| System Administrator – Advanced Data Center and AI Infrastructure NVIDIA is seeking a System Administrator to deploy and maintain bare-metal and multi-node environments running NVIDIA networking, DGX, and advanced computing systems. The role focuses on firmware validation infrastructure, BMC management, regression lab automation, and ensuring the continuous availability of critical test platforms. The ideal candidate has deep Linux expertise, experience with infrastructure-as-code and monitoring at scale, and a proven background in automating system administration tasks for AI and HPC infrastructure. | — | 5 |
| Data Center Engineer, HPC and AI NVIDIA is seeking an HPC and AI Data Center Engineer to build and manage complex data center infrastructure for supercomputers and HPC/AI clusters. The role involves planning, installation, operation, and troubleshooting of hardware, software, and networking components to support research and development activities in AI and GPU computing. | — | 5 |
| Director, Design Technology and AI - Chip Design Lead a Design Technology team focused on driving AI-powered engineering productivity in chip design, developing and operating systems, tools, and automation solutions to improve chip design quality and efficiency. | Ship | 5 |
| Senior Power and Performance Architect NVIDIA is seeking a Senior Power and Performance Architect to optimize network systems for AI clusters. The role involves developing and validating power and performance optimization techniques for network fabrics, components, and systems, collaborating with cross-functional teams including AI researchers. Requires experience in network architecture, design, performance analysis, and familiarity with AI/ML workload network demands. | — | 5 |
| Senior Software Architect, AI Network Senior Software Architect role focused on defining architectural solutions for AI and HPC networking within the data center, involving hardware-accelerated data plane programming and software stack development for emerging networks. Requires strong C/C++ and networking experience. | — | 5 |
| Senior Research-Ops & DevOps Engineer NVIDIA is seeking a Senior Software Engineer for their Video/Multimedia A&A team to lead infrastructure and operations. This role involves setting up compute resources (on-prem and cloud), developing distributed pipelines for large-scale regressions and experiments across hardware simulations and ML workloads, and maintaining CI/CD and development environments. The goal is to transform research workflows into reliable, automated systems. | Serve | 5 |
| Senior Software Developer NVIDIA is seeking a Senior Software Developer to join their AI networking acceleration team. The role involves developing a groundbreaking open-source library using hardware offloads, GPU Kernels, and RDMA network cards, focusing on a performance-oriented, low-level inference framework. The position requires strong C++/C/Python development skills, Linux environment experience, and deep knowledge of TCP/IP networking. Experience with Linux internals, low-level optimizations, CUDA kernels, ML frameworks, LLMs, parallel programming, HPC, or RDMA is advantageous. | Serve | 5 |
| Senior AI Chip Design Engineer NVIDIA is seeking a Senior AI Chip Design Engineer to develop and implement AI-powered methodologies and applications for chip design. This role involves collaborating with design teams, utilizing AI tools, evaluating new technologies, and building automation infrastructure to improve the chip design process. The ideal candidate has extensive pre-silicon design experience and a strong understanding of the modern AI ecosystem. | — | 5 |
| Hardware Architect, Deep Learning GPU and System NVIDIA is seeking a Hardware Architect to join their Deep Learning GPU and System team. The role involves contributing to features for next-generation GPUs and systems to advance AI. Responsibilities include analyzing deep learning methods on hardware architectures, proposing new features (HW, SW, or Algorithmic), and focusing on hardware architecture and workload performance. Requires a degree in CS, EE, or related field, 2+ years of experience in performance, hardware architecture, or deep learning analysis, and familiarity with GPU computing. | — | 5 |
| Senior Data Center Network Deployment Engineer NVIDIA is seeking a Senior Data Center Network Deployment Engineer to join their AI Infrastructure team. This role involves deploying, managing, and optimizing large-scale AI data center networks, including control, network, and storage stacks. The engineer will develop automation scripts, support R&D activities, and engage in POCs/POVs. The position requires strong networking fundamentals, proficiency in Windows/Linux networking, and experience with data center architecture, with a preference for knowledge of HPC and AI solution technologies. | — | 5 |
| Senior Software Engineer, Profiling Services NVIDIA is seeking a Senior Software Engineer to build a low-overhead, always-on GPU profiling service for ML workloads. The role involves C/C++ development, system-level programming, and integrating profiling models with ML workflows to provide actionable insights. Experience with GPU profiling, CUDA, and ML ecosystems is highly valued. | — | 5 |
| Senior HPC DevOps Engineer NVIDIA is seeking a Senior HPC DevOps and Network Engineer to build and maintain large-scale HPC/AI clusters. The role involves designing, implementing, and automating infrastructure, CI/CD pipelines, and networking for AI and GPU computing environments. The engineer will troubleshoot complex issues, support R&D, and work with researchers and developers to optimize workflows and develop solutions. | — | 5 |
| Senior Software Advanced Development Engineer NVIDIA Networking Advanced Development Software team is developing new networking and distributed computing technologies for AI factories and data centers. The role involves designing and implementing solutions across various layers, from application to firmware, utilizing NVIDIA's hardware. Experience with CUDA programming and LLM serving frameworks is a plus. | Serve | 5 |
| Senior Advanced Development Engineer, GPU Networking This role focuses on advanced development and Proof of Concepts (POCs) for AI infrastructure solutions within cutting-edge AI networks. The engineer will integrate innovative software and hardware, demonstrate architectural concepts with NVIDIA's AI software stacks, and collaborate with various internal teams (GPU/Switch HW/SW, Product, Architects) to bring AI network technologies to fruition. The role requires strong C/C++ development on Linux, experience in virtualization, networking, and storage, and ideally knowledge of Deep Learning frameworks and AI communication libraries. | — | 5 |
| Senior Cyber Security Threat Intelligence Analyst This role focuses on Cyber Threat Intelligence (CTI) for NVIDIA's networking products, which power AI clusters. The analyst will conduct research into sophisticated adversaries, leverage Generative AI tools for automation, and translate findings into actionable intelligence to improve defensive postures. The role requires expertise in the CTI lifecycle, threat analysis, and collaboration with incident response and engineering teams. | — | 5 |