Currently tracking 440 active AI roles, down 46% 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 107 new AI-related roles. That is a -49% change versus the prior 30 days (211 → 107).
| Title | Stage | AI score |
|---|---|---|
| Full Stack Software Engineer, GPU Architecture Full Stack Software Engineer for GPU Architecture at NVIDIA, focusing on building engineering tools to enhance chip development workflows. Requires experience in hardware engineering workflows and full-stack development, with a preference for C/C++ for GPU simulators. The role involves collaborating with hardware engineers, designing infrastructure tools, and leading projects from concept to deployment. | — | 5 |
| Principal Data Platform Architect This role is for a Principal Data Platform Architect at NVIDIA, focusing on defining and implementing a vision for distributed data platform and observability systems for large-scale AI and HPC clusters. The architect will design systems for data collection, aggregation, storage, retrieval, and visualization to enhance the efficiency and performance of AI/HPC workloads, and lead teams in developing and deploying observability solutions. | — | 5 |
| Senior System Architect, GPU |
| — |
| 5 |
| Developer Technology Engineer, Public Sector - New College Grad 2026 This role focuses on optimizing and accelerating applications using GPUs, particularly for the public sector. While it involves working with AI/ML domains, the core responsibility is GPU acceleration and optimization of existing applications, not the direct development or research of AI models themselves. The role requires strong programming and parallel computing skills, with experience in CUDA C/C++ being a significant advantage. | — | 5 |
| Manager, Graphics Tools Engineering Manager for Graphics Tools Engineering at NVIDIA, focusing on developing and improving tools for 3D graphics and GPUs, with an emphasis on bridging AI and graphics in next-generation workflows. The role involves technical leadership, C/C++ development, and mentoring engineers. | — | 5 |
| Senior Deep Learning Frameworks Sustaining Engineer Senior Deep Learning Frameworks Sustaining Engineer at NVIDIA. Responsibilities include back-porting changes, managing open source dependencies, and fixing bugs for enterprise products like TensorFlow, PyTorch, and TensorRT. Focus on ensuring stable dependencies and addressing security vulnerabilities for NVIDIA AI Enterprise. | Serve | 5 |
| Senior Technical Marketing Engineer - Data Center Scale Out This role focuses on the technical marketing and solutions architecture for NVIDIA's AI Factory infrastructure, specifically emphasizing scale-out architectures for AI training and inference. The engineer will promote NVIDIA's networking solutions (Ethernet, InfiniBand) and SuperPOD designs to large customers, demonstrating performance, power efficiency, and TCO. | — | 5 |
| Senior Technical Marketing Engineer - GPU and System Architecture Senior Technical Marketing Engineer at NVIDIA focused on GPU and system architecture for AI inference and training. The role involves creating technical content, engaging with customers, and analyzing market trends to showcase NVIDIA's AI infrastructure solutions. | — | 5 |
| Senior Software Engineer, Networking Software Senior Software Engineer role focused on customer engineering for NVIDIA's networking products, including AI networking at hyperscale. The role involves architecting, designing, and developing hardware-accelerated software solutions, collaborating with customers and internal teams, and providing technical guidance. Experience in computer networking, SDN, DPUs, NIC drivers, and AI workloads is required. | — | 5 |
| Senior Applied Power Architect - GPU NVIDIA is seeking a Senior Applied Power Architect to design and optimize power efficiency for next-generation GPUs, focusing on AI architectures. The role involves inventing methodologies, driving power management initiatives, analyzing electrical/thermal constraints, and collaborating with cross-functional teams. Requires MSEE/MSCE or PhD with specialization in low-power-processor architectures and 6+ years of experience. | — | 5 |
| Technical Marketing Engineer NVIDIA is seeking a Technical Marketing Engineer to work with product management, engineering, and partner ecosystems on DGX solutions. The role involves content creation, collateral development, technical architecture, API design, usage dashboards, security, enterprise readiness, user journey definition, demos, product positioning, messaging, sales enablement, and technical competitive analysis. Requires a Bachelor's Degree in a quantitative field or equivalent experience, 12+ years in data science/engineering/ML, and hands-on experience deploying AI infrastructure. Strong interpersonal skills for articulating value propositions are essential. | — | 5 |
| Networking Architect NVIDIA is seeking a Networking Architect to research and develop next-generation networking solutions for AI-accelerated data centers. This role involves working across various layers, from ASIC design to algorithms and systems, and collaborating with internal teams, partners, and standards bodies. | — | 5 |
| Senior Software Engineer, Networking Software Senior Software Engineer focused on customer engineering engagements for NVIDIA Networking products within AI factories. The role involves providing technical expertise, design-in support, and training to customers, working with internal teams and external clients to integrate networking solutions into AI infrastructure. | — | 5 |
| Datacenter GPU Power Architect NVIDIA is seeking a Datacenter GPU Power Architect to contribute to power estimation models and tools for GPU products and systems. The role involves early architecture exploration, performance vs power analysis, and deploying machine learning techniques to develop power and performance models. Understanding GenAI/HPC workload characteristics at datacenter scale is crucial for driving new hardware/software features for Perf@Watt improvements. | — | 5 |
| Senior Architect, Data Center Modeling This role focuses on designing and developing models for next-generation GPU-accelerated datacenters, specifically in cost and power modeling. It involves guiding software architecture, implementing best practices, and contributing to a critical codebase. The role requires strong Python programming, systems architecture, and modeling experience, with a preference for advanced degrees and experience in accelerated server architecture or parallel computing. | — | 5 |
| Principal System Networking Architect NVIDIA is seeking a Principal System Networking Architect to design and define end-to-end solutions for high-performance AI clusters, focusing on Ethernet Networking Platforms. The role involves exploring new technologies, defining architectures and requirements for network operating systems, leading R&D efforts, and collaborating with various teams and customers. Experience in data-center and AI fabric network topologies, AI/ML clusters, and Ethernet Switch platforms is required. | — | 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 |
| Software Architect, Advanced Development Research Scientist intern role focused on cutting-edge research in Networking, Security, and Communications, developing HW architecture models, simulations, and SDKs. The role involves working with AI systems for intelligent networking and optimizing application performance. Requires a B.Sc. or M.Sc. and a track record of research excellence. | Data | 5 |
| Senior Systems Engineer, Artificial Intelligence Operations This role focuses on building AI platform for operating AI factories, improving AI cluster resiliency, and designing AIOps-based solutions. The engineer will develop automated workflows for issue detection and root cause analysis, and collaborate with operators to debug complex AI cluster problems. The role also involves customer-facing activities like technical presentations, demos, training, and evaluation deployments. | — | 5 |
| Senior Software Architect, Cyber Security Senior Software Architect role focused on researching and defining security architectures for NVIDIA's DPU and NIC technologies, specifically for securing AI clouds and data centers. The role involves evaluating new technologies, rapid prototyping, and collaborating with various teams and customers to transform ideas into released products. | — | 5 |
| Senior Software Engineer Aerial – Wireless RAN Algorithms Development Senior Software Engineer for NVIDIA's Aerial Algorithms team, focusing on the creation and improvement of RAN algorithms for 5G/6G networks. This role integrates AI/ML and Deep Learning into the PHY and MAC-Scheduler layers, utilizing NVIDIA's compute platforms for software-defined digital signal processing. Responsibilities include system build initiatives, algorithm research and development, customer and partner support, system simulations, performance benchmarking, and optimizations. | Serve | 5 |
| Senior Manager, Software Advanced Development Senior Manager for Software Advanced Development at NVIDIA, focusing on networking and distributed computing technologies for AI factories and data centers. The role involves leading a team of engineers in designing and implementing solutions across various software layers, from high-level applications to firmware, utilizing NVIDIA's hardware. Collaboration with internal departments, partners, and customers is key. | Serve | 5 |
| Senior Software QA Test Development Engineer Senior Software QA Test Development Engineer at NVIDIA, focusing on improving the quality and productivity of the QA workflow by leveraging AI development tools, including AI assistants for test automation, code generation, and debugging. The role involves creating test plans, automation scripts, enhancing testing frameworks, and integrating automation into CI/CD pipelines. Experience with LLMs, prompt engineering, fine-tuning for QA tasks, and building AI systems like RAG or AI agents is highly valued. | — | 5 |
| Senior SWQA Test Development Engineer Senior Software QA Test Development Engineer at NVIDIA to craft distributed technology for managing tens of thousands of resources. The role involves creating test plans, execution, reporting, developing test automation scripts, designing QA tools, and developing integration tests. The ideal candidate will have strong programming skills and hands-on experience using AI development tools to improve quality and productivity across the end-to-end QA workflow, including using AI assistants for test automation, code generation, debugging, and enhancing testing efficiency. Experience with LLMs, prompt engineering, fine-tuning, or integration into QA workflows is required. | Ship | 5 |
| Senior SWQA Test Developer Engineer, SDET Senior Software QA Test Developer Engineer at NVIDIA responsible for test planning, execution, and reporting, automating testing, and designing/developing tools for the QA team. The role involves identifying weak spots, creating test plans, and ensuring product quality, with a focus on AI development tools, model testing, and LLM benchmarking. | Eval Gate | 5 |
| Senior System Software Architect, AI Networking NVIDIA is seeking a Senior System Software Architect to define the architecture for next-generation Spectrum-X, InfiniBand, and NVLink systems, focusing on high-performance AI networking. The role involves researching solutions, evaluating SW/HW impact, and collaborating with multi-functional teams across algorithms, software, firmware, and hardware. | Serve | 5 |
| Senior Advanced Development Engineer, AI Networking Develops a digital twin using CUDA for advanced research on AI datacenters, focusing on network simulations and integration. | — | 5 |
| Senior HPC Performance Engineer NVIDIA is seeking a Senior HPC Performance Engineer to analyze and optimize the performance of their GPU communication libraries, which are critical for scaling Deep Learning and HPC applications. The role involves in-depth performance characterization, root-cause analysis of performance issues, and collaboration with hardware and software components across large-scale clusters. | — | 5 |
| Senior System Software Engineer, NCCL - Partner Enablement Senior System Software Engineer focused on partner enablement for NCCL (NVIDIA Collective Communications Library), a crucial library for scaling Deep Learning and HPC applications. The role involves root cause analysis, performance characterization, tool development, and training for partners and customers using NCCL on large GPU clusters with high-speed networking. | — | 5 |
| Senior System Design Test Architect NVIDIA is looking for a Senior System Design Test Architect to join their Product Engineering group. The role involves developing and deploying automatic testers for network business units, analyzing manufacturing data using ML/AI to prevent quality issues, leading production and capacity enlargement, and performing failure analysis. The architect will define systems HW testability, lead testing definitions for HW, SW, FW, and fixtures, and influence product design from a DFT perspective. The role requires a BSc/MSc in Electrical Engineering, experience as a DFT engineer, and background with contract manufacturers. | — | 5 |
| Infrastructure Software Engineer, Deep Learning Libraries NVIDIA is seeking an Infrastructure Software Engineer to work on deep learning libraries like TensorRT and TensorRT-LLM. The role involves designing and developing scalable, modular infrastructure for development, build, and test processes across various NVIDIA platforms. Responsibilities include software design for testing and analysis, building automation for CI/CD, developing across the software stack, and configuring industry-standard tools like Kubernetes and Jenkins. | — | 5 |
| Manager, Software Engineering – Networking Management Manager, Software Engineering at NVIDIA to lead a team developing networking management tools for AI/ML infrastructure. Responsibilities include leading engineers, driving technical strategy, and ensuring delivery of scalable solutions. Requires strong technical depth, leadership, and experience in C/C++ and large-scale projects. | — | 2 |
| Manager, Software Engineering - Security Firmware Manager for a team building security-critical root-of-trust (RoT) firmware for NVIDIA Data Center Systems. The role involves leading, mentoring, and growing a distributed team, driving modern software engineering practices, and championing an AI-forward engineering culture. The firmware establishes hardware-rooted security for boot integrity, cryptographic attestation, and secure lifecycle management. | — | 2 |
| Senior Software Engineer, NCCL Senior Software Engineer to design, implement, and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters. This role involves system software design for GPU interactions and creating proof-of-concepts for new designs. | — | 2 |
| Senior System Software Engineer, Automotive Performance Senior System Software Engineer role focused on optimizing system software performance for NVIDIA's automotive platforms, including hypervisor and profiling tools. While AI/ML experience is desirable and AI tools are used in recruiting, the core responsibilities are in system software engineering and performance optimization, not direct AI model development. | — | 2 |
| Senior Math Libraries Engineer – Emulation in AI and HPC NVIDIA is seeking software engineers to join their math libraries teams focused on AI and HPC kernel generation. The role involves designing and implementing high-performance numerical linear algebra software on GPUs, with a focus on emulating math operations across different precisions. This position requires strong CUDA and C++ experience, knowledge of GPU architecture, and fundamentals in finite precision arithmetics and numerical methods for linear algebra. While the role supports AI and HPC, the core craft is in the foundational math libraries and kernel generation, not direct AI model development or deployment. | — | 2 |
| Senior Software and Systems Architect NVIDIA is seeking a Senior Software & Systems Architect to define and deliver networking solutions for 5G/6G RAN platforms, focusing on AI acceleration within SmartNICs. The role involves architecting software/firmware stacks, collaborating on SW-HW interfaces, researching network protocols and high-performance networking, and optimizing drivers/offloads. Experience with AI acceleration in networking is a plus. | — | 2 |
| Manager, Software Engineering - NCCL Manager, Software Engineering for GPU Communications Libraries (NCCL) at NVIDIA, focusing on Deep Learning and HPC. The role involves leading a China-based engineering team, managing execution, customer interaction, roadmap definition, and contributing to feature design. Requires significant experience in software industry management, systems software, networking, and C/C++ programming. | — | 1 |
| Senior Technical Program Manager - Autonomous Vehicles NVIDIA is looking for a Senior Technical Program Manager to lead the development and productization of their autonomous vehicle software platform. This role involves managing project roadmaps, schedules, and cross-functional engineering teams to integrate subsystems, ensure quality, and drive releases in an agile manner. The ideal candidate has extensive program management experience in software engineering, a track record of successful product releases, and experience with automotive software development, though direct AI/ML building is not the core focus. | — | 1 |
| Senior Corporate Accountant This role is for a Senior Corporate Accountant at NVIDIA, focusing on transforming and automating accounting processes using tools like Tableau, Power BI, and AI models. Responsibilities include process optimization, financial analysis, business partnering, and ensuring compliance with US GAAP and SOX controls. Experience with automation technologies and a background in public accounting are required. | — | 1 |
| Senior Solutions Architect, Ethernet Networking - NVIS This role focuses on designing, architecting, and implementing data center networks, with a specific emphasis on Ethernet networking for HPC AI and enterprise datacenter domains. The responsibilities include providing network expertise, crafting automation scripts, validating network architectures, and interacting with customers. While AI tools are mentioned for network automation, the core function is network engineering, not AI model development. | — | 1 |
| PR Specialist, Enterprise AI NVIDIA is seeking a Public Relations Specialist for its enterprise AI PR team to execute PR plans, write press releases and articles, manage media relations, and track coverage. The role requires 5+ years of communications experience, strong writing skills, and a passion for technology. Experience with AI tools and enterprise/data center/cloud technology is preferred. | — | 1 |
| Senior Business Solutions Architect – Enterprise Data Management This role focuses on architecting and implementing SAP Master Data Governance (MDG) solutions for Material and Business Partner domains within the semiconductor industry. It involves designing data integration pipelines, leading governance capabilities, establishing data quality and observability, and providing production support. The role requires deep expertise in SAP MDG, data modeling, integration frameworks, and supply chain data domains, with a preference for semiconductor industry experience. Familiarity with AI tools for productivity is a plus. | — | 1 |
| Senior System Software Engineer, Automotive Performance Senior System Software Engineer focused on optimizing NVIDIA's automotive performance platforms, including Safe RTOS and hypervisors. The role involves close collaboration with hardware and software teams, performance benchmarking, and contributing to AI-assisted automotive profiling tools. Experience with C/C++, Linux/QNX, and system performance optimization is required, with AI/ML experience being highly desirable. | — | 1 |
| Senior Software Engineer, CUDA Core Libraries Senior Software Engineer to work on CUDA Core Libraries (CCCL, cuda-python, numba-cuda) that power GPU computing for C++ and Python developers. Focus on foundational libraries, algorithms, and language/runtime infrastructure for deep learning, scientific computing, and data analytics. | — | 1 |
| Senior Manager, Accounting Systems and Transformation This role is for a Senior Manager of Accounting Systems and Transformation at NVIDIA. The primary focus is on modernizing and automating accounting systems and applications, optimizing the Record-to-Report (R2R) function, and ensuring compliance with SOX controls. The role involves leading cross-functional partnerships, managing SAP ERP and other accounting software, and evaluating/redesigning financial processes. While the role leverages AI models and collaborates with data science teams, its core function is in accounting systems and transformation, not direct AI/ML model development. | — | 1 |
| Senior CUDA Test Development Software Engineer, SDET NVIDIA is seeking a Senior CUDA Test Development Software Engineer to focus on CUDA automation testing, CUDA Safety, and CUDA test development. The role involves designing and implementing tests for CUDA driver and library features, automating tests, and triaging results. Requires a strong background in C/C++, Python, Makefile, software testing, and Linux/Windows OS, with experience using AI tools to automate QA workflows. | — | 1 |
| Senior Design Automation Engineer - Chip Design Senior Design Automation Engineer at NVIDIA, focusing on improving verification automation infrastructure for next-generation Networking chips. The role involves leading the development of tools, regression flows, and debug infrastructure, identifying inefficiencies, and collaborating with DV engineers and design teams. Requires 5+ years of experience in Design Verification/Chip Design, proficiency in Python and Linux, and strong problem-solving skills. Familiarity with AI-assisted debugging and LLM-based tools is a plus. | — | 1 |
| Senior HPC and Quantum Systems Engineer NVIDIA is seeking a Senior HPC and Quantum Systems Engineer to architect, deploy, and operate a hybrid computing platform combining GPU clusters with quantum processors. This role focuses on systems engineering for quantum computing integration with classical systems, managing reliability, performance, and lifecycle of the environment, and collaborating with partners and researchers to enable hybrid workloads. | — | 1 |