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.
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 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 |
|---|---|---|
| Datacenter Partner Enablement Engineer NVIDIA is seeking an Early Access Partner Enablement Engineer to work with cloud service providers and server development partners on AI and HPC datacenter designs. The role involves creating and deploying reference AI Super Computer designs, collaborating on product roadmaps, and providing technical guidance for server integration and manufacturing. This is a hands-on engineering role focused on large-scale AI platforms. | — | 5 |
| Chip Power Estimation Engineer NVIDIA is looking for an engineer to develop advanced power models for GPUs and SOCs, focusing on chip and board power estimation. This role involves understanding chip architecture, low power design, and process technology to estimate power consumption under various scenarios. The engineer will collaborate with multiple design teams and contribute to performance/watt improvement ideas for NVIDIA's products, which are increasingly used in AI applications. | — | 5 |
| Infrastructure Software Engineer, Deep Learning Libraries |
| — |
| 5 |
| Distinguished Engineer, GPU Fleet Operations Automation This role focuses on automating the operations of NVIDIA's DGX Cloud GPU fleet, including lifecycle management, health monitoring, and remediation. It involves defining and driving technical strategy for infrastructure operations across various environments and ensuring high availability and operational excellence. | — | 5 |
| Senior Data Center System Architect NVIDIA is seeking a Datacenter System Architect to define and design products for AI, high performance computing, and other datacenter markets. The role involves driving architecture from chip to datacenter, analyzing performance, power, and cost, and collaborating with internal teams, customers, and suppliers. Requires 8+ years of experience in complex datacenter systems, deep understanding of hardware architecture, and experience with software/hardware integration. | — | 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 NVIDIA is seeking a Senior System Architect to define future aspects of their GPU architecture, focusing on AI and accelerated computing. The role involves cross-disciplinary collaboration with software, ASIC design, and other teams to optimize scalability, performance, power efficiency, and area. Responsibilities include developing architecture innovations, benchmarking configurations, enhancing analysis infrastructure, implementing performance models, and documenting specifications. | — | 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 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 |
| 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 |
| 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 |
| 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 |
| 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 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 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 |
| 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 |
| 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 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 |
| 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 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 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 |
| Graphics Tools Software Engineer Software Engineer to develop graphics developer tools for NVIDIA GPUs, focusing on feature implementation, technical design, and performance optimization across various applications like games, VR, and automotive. | — | 0 |
| Senior Manager, Engineering - Data Center Firmware Senior Engineering Manager to lead a large firmware engineering organization delivering end-to-end manageability firmware for NVIDIA's next generation Data Center Compute Systems. This role owns HGX product line and OpenBMC-based management firmware and MCU firmware components in data center platforms, including architecture, execution, quality, reliability, telemetry, and customer readiness. | — | 0 |
| Senior Mechanical Product Design Engineer NVIDIA is seeking a Senior Mechanical Product Design Engineer to develop next-generation electronic products across various business segments. The role involves defining and developing groundbreaking products from concept to production, including mechanical architecture, structures, displays, acoustics, battery, antenna, and thermal systems. Responsibilities include preparing design concepts, researching new technologies and materials, and innovating with Industrial Design. | — | 0 |
| Manager, Firmware Verification Infrastructure NVIDIA is seeking an experienced Manager for their NIC FW verification infrastructure team. The role involves leading the team's technical direction, ensuring testing infrastructure stability and scalability, guiding the development of advanced modules, and mentoring engineers. Responsibilities include end-to-end execution, defining and improving testing methodologies, and collaborating with other teams. Requires a strong technical background in software engineering, leadership experience, and coding skills. | — | 0 |
| Senior Full Chip Layout and Physical Verification CAD Engineer NVIDIA is seeking a Senior Full Chip Layout and Physical Verification CAD Engineer to join their Networking Silicon engineering team. The role involves developing full-chip physical design methodologies, physical verification, and tapeout activities for networking chips and SOCs. Responsibilities include working with layout owners, developing unique solutions for physical design problems, and running/debugging physical verification flows. Requires B.SC./M.SC. in Electrical/Computer Engineering or equivalent, 5+ years of experience in full-chip layout and physical verification, strong background in DRC/LVS/ANT/ERC/DFM, proficiency in Python, Tcl, Shell, Make scripting, and Linux environments. Familiarity with EDA tools like Synopsys and Cadence, and physical verification tools like Synopsys ICV and Siemens Calibre is necessary. Experience with data collection/analysis and methodology definition is a plus. AI tools orientation or a desire to learn is mentioned. | — | 0 |
| Manager, Physical Design Circuit and Signoff CAD Manager for a CAD Sign-Off group at NVIDIA, focusing on CAD flow development, circuit studies, and design methodologies for advanced chip sign-off. The role involves leading a team, collaborating globally, and ensuring timely, high-quality sign-off convergence. | — | 0 |
| Senior System Software Engineer - AV Platform Senior System Software Engineer to integrate and productize NVIDIA's autonomous vehicle platform software, collaborating with cross-functional teams and customers to ensure compliance and meet production release timelines. | — | 0 |
| Chip Design Verification Engineer NVIDIA is seeking a Chip Design Verification Engineer to join their Networking Silicon engineering team. The role involves developing and verifying next-generation chip controllers, collaborating with cross-functional teams, and driving the implementation of sophisticated verification environments. Requires a degree in engineering and 0-4 years of ASIC verification experience. | — | 0 |
| Senior DSP Communication Engineer NVIDIA is seeking a Senior DSP Communication Engineer to develop high-speed wireline links and DSP architectures for future chips. The role involves architectural design, collaboration with engineering teams, and algorithm development to ensure system performance. Requires a BS/MS/PhD in Electrical Engineering with 5+ years of DSP/Communications experience and strong Matlab skills. | — | 0 |
| Analog Digital Mask Design Engineer NVIDIA is seeking an Analog Digital Mask Design Engineer to execute IC layout of high-performance, high-speed CMOS integrated circuits in advanced process nodes. The role involves delivering layouts for digital and analog IPs, ensuring design quality, and performing layout verification and optimization. Requires 3+ years of experience in analog layout, knowledge of EDA tools, and experience with various analog blocks and layout techniques. | — | 0 |
| Senior Firmware Engineer - GPU Senior Firmware Engineer role at NVIDIA focused on developing, architecting, and debugging critical firmware for GPU Out-of-Band Hub (OOBHUB), managing peripherals, secure updates, and communication telemetry. Requires 5+ years of low-level firmware development experience, C programming, and familiarity with embedded processor architectures and communication protocols. | — | 0 |
| Senior System Software Engineer - USB/PCIE NVIDIA is seeking a Senior System Software Engineer to develop USB and PCIE driver, firmware, and applications with high throughput and low latency. The role involves architecting, developing, and verifying solutions, working with cross-functional teams, and contributing to software best practices. Requires 8+ years of experience, strong C/C++ skills, and knowledge of embedded systems, Android, and Linux. | — | 0 |
| Senior Formal Verification Engineer Senior Formal Verification Engineer at NVIDIA to verify GPU micro-architecture using formal verification tools. Responsibilities include defining scope, ensuring correctness, employing sophisticated formal techniques, and working with cross-functional teams. Requires BS/MS/PhD with 5+ years of experience, understanding of GPU/CPU architectures, Verilog/System Verilog, formal tools, abstraction techniques, scripting (TCL, Perl, Python), and strong analytical and communication skills. | — | 0 |
| Senior SOC Design Engineer - Networking Group Seeking an expert SOC Design and Integration Engineer for NVIDIA's Networking chip design group in Bengaluru. The role involves crafting and implementing next-generation DPUs and Switch Silicon chips, focusing on high-speed communication devices with high efficiency and low latency. Responsibilities include understanding project features, defining milestones, developing system-level methodologies, integrating components, and tracking progress via an agile framework. | — | 0 |
| ATE Test Development Engineer NVIDIA is seeking an ATE Test Development Engineer to define, develop, implement, and support ATE test programs for GPU, Tegra, and Automotive products. The role involves working with manufacturing teams to increase yields, test coverage, and capacity, while reducing production costs. Responsibilities include test program development, debugging failures, and writing scripts/tools to enhance productivity. Requires a Bachelor's degree in EE/CE or equivalent, 2+ years of VLSI ATE testing experience, and working knowledge of Advantest 93K ATE platform. | — | 0 |
| Senior Systems Engineer, Storage - DGX Cloud Senior Systems Engineer role focused on building, automating, and operating large-scale production systems, specifically storage and data platforms on Kubernetes for NVIDIA's GPU cloud services. Responsibilities include designing, deploying, and operating Kubernetes solutions, building automation tools for storage lifecycle management, developing telemetry and observability, and applying analytical troubleshooting skills. Requires strong experience in Kubernetes, software design, observability tools, and programming languages like Python or Go. | — | 0 |
| Director, DOCA Process and Productivity Director of DOCA Process and Productivity at NVIDIA, leading teams and processes for software development, security, developer productivity, and DevOps to ensure robust, secure, and efficient operations at scale. Requires strong technical understanding of complex software systems and experience improving engineering workflows. | — | 0 |