Currently tracking 440 active AI roles, down 50% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$575k (avg $262k).
NVIDIA currently has 496 active AI-related job listings. The majority of these roles, 52%, are focused on serving infrastructure, with agents representing another significant segment at 23%. Engineering is the dominant function, with 441 positions. The United States leads hiring geographies with 287 roles, followed by China with 64. Frequent tech tags include model_serving, inference_infra, and agent_orchestration, suggesting a focus on deployment and management of AI models. Over the last 30 days, NVIDIA posted 214 new AI roles, a 27% decrease compared to the previous 30-day period.
NVIDIA currently has 487 active AI-related roles in our index. The most common open titles are: Deep Learning Performance Architect (4), Senior Deep Learning Performance Architect (4), AI Research Scientist (3), Developer Technology Engineer - AI (3), Manager, Deep Learning Algorithms (3). Most positions are in Engineering and Research.
NVIDIA's active AI hiring is concentrated in: serving infrastructure (54%), agents (21%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
NVIDIA is hiring AI talent in: United States (286 roles), China (59 roles), Israel (50 roles), Germany (21 roles).
Job postings at NVIDIA most frequently reference: model serving, inference infra, agent orchestration, llm observability, multimodal.
In the past 30 days, NVIDIA has posted 110 new AI-related roles. That is a -50% change versus the prior 30 days (218 → 110).
| Title | Stage | AI score |
|---|---|---|
| Senior GPU Supercomputer Scheduler Engineer NVIDIA is seeking a Senior GPU Supercomputer Scheduler Engineer to design and implement scheduling features for GPU compute clusters that run demanding AI/ML and HPC workloads. The role involves developing batch workload management, improving resource usage, and performance analysis of deep learning workflows. | Serve | 5 |
| Senior Network Architect This role focuses on the architecture, design, and deployment of ultra-high-speed, resilient, and scalable network interconnects for GPU-accelerated data centers and compute clusters, specifically supporting AI/ML training and inference environments. It requires expertise in networking technologies, automation, and security standards. | — | 5 |
| Senior Software Architect, DriveOS NVIDIA is seeking a Senior Software Architect for DriveOS, a platform powering millions of autonomous vehicles. The role involves leading system software architecture, decomposing requirements, resolving complex issues, and collaborating with various engineering teams and stakeholders. The ideal candidate will have extensive experience in embedded systems, system software, and compliance with industrial-grade quality standards, with a focus on automotive safety and cybersecurity. |
| — |
| 5 |
| CAD Layout Design Engineer NVIDIA is seeking a CAD Layout Design Engineer to join their Layout Methodology team. The role involves studying new technologies, creating digital IP for layout work, and investigating the application of ML/DL/LLM techniques for layout creation. The ideal candidate will have 5+ years of experience in SRAM/Analog layout design, proficiency in Cadence SKILL and Python/Perl/Shell scripting, and experience with PCELL development. | Data | 5 |
| Senior Performance Architect - Heterogeneous Workload Optimization Senior Systems Performance Engineer to build next-generation profiling infrastructure for optimizing heterogeneous workloads (CPU and GPU) in EDA applications, focusing on memory access patterns, cache utilization, and GPU kernel performance. | — | 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 |
| Principal Software Engineer, Profiling Services This role focuses on designing and shipping a production-grade, low-overhead GPU profiling service for ML workloads. The engineer will lead architecture and implementation in C/C++ across system software, drivers, and CUDA, ensuring scalability and reliability. Key responsibilities include establishing profiling models that integrate with ML frameworks to provide actionable performance insights and technical leadership within the team. While the service supports ML workloads, the core craft is system software and performance engineering, not direct ML model development. | — | 5 |
| Senior System Software Engineer, AI Data Platform Senior Software Engineer role focused on building and optimizing foundational infrastructure for NVIDIA's AI and high-performance computing innovations. The role involves designing, building, and optimizing scalable automation systems for the performance, tuning, and deployment of core software offerings, impacting AI models and complex applications across various environments. | Serve | 5 |
| Tools and Development Engineer NVIDIA is seeking a Software Tools Development Engineer to join their GPU SWQA team. The role involves designing and implementing automated tests using AI technologies for NVIDIA's device driver software and SDKs on Linux. Responsibilities include building Python tools/frameworks to automate and optimize testing workflows, driving test automation initiatives, identifying and debugging defects, and contributing to the development of applications and tools that accelerate development and test workflows. The ideal candidate will have 4+ years of programming experience in Python, experience with databases, strong OS fundamentals, and experience using AI tools for test automation. | Ship | 5 |
| Senior Tools Development Engineer This role is for a Senior Tools Development Engineer at NVIDIA, focusing on building data-driven tools and automation to improve software quality and accelerate the delivery of NVIDIA products. The engineer will leverage AI development tools for test plan creation, test case generation, and bug detection, and develop automated end-to-end tests for NVIDIA software and SDKs. The role requires strong programming skills in C#/Java/C++/Python and experience with OS fundamentals and PC hardware. | — | 5 |
| Senior Networking Software Architect This role focuses on defining the architecture and features for next-generation Data Processing Units (DPUs) and SmartNICs, involving collaboration with hardware architects, R&D teams, and customers. The responsibilities include defining the software stack, researching network protocols and technologies, and exploring various applications including Generative AI, storage, and cybersecurity. | — | 5 |
| Senior Power Methodology and Modeling Engineer This role focuses on energy modeling for NVIDIA's next-generation GPUs, CPUs, and Tegra SoCs. The engineer will develop and implement tools and methodologies for data generation, sanitization, and integration with performance tools to analyze energy usage in graphics and AI workloads. The role involves mining performance data, identifying bottlenecks, and experimenting with ML techniques for design analysis and power target setting. While the role uses ML techniques and analyzes AI workloads, its core craft is in power methodology and modeling for hardware design, not direct AI/ML model development. | — | 5 |
| Physical Design Engineer NVIDIA is seeking a Senior Physical Design Engineer to lead physical design and implementation of SOC devices for networking markets. The role involves all aspects of physical chip development from RTL to GDS, including synthesis, floorplan, power/clock distribution, place and route, timing closure, and verification. The engineer will also assist in design flow development and debugging, including the application of ML/AI solutions. | — | 5 |
| Solutions Architect - Rack Scale AI Systems This role focuses on deploying and optimizing NVIDIA's Rack Scale AI Products within datacenter and cloud environments. It involves understanding product roadmaps, designing deployment strategies, collaborating with engineering teams, and ensuring the reliable delivery of AI hardware and software platforms. The role requires strong system engineering, Linux, and scripting skills, with an emphasis on data center architecture and automation. | — | 5 |
| Senior GPU Low Power Architect This role focuses on designing and optimizing low-power GPU and SOC architectures for NVIDIA's products, including those powering AI, Automotive, Graphics, and Mobile. The Senior GPU Low Power Architect will invent and innovate low power architectural/RTL solutions, drive features and roadmaps for efficiency improvements, and contribute to power and performance modeling for GPUs, CPUs, Switches, and platforms. The role requires MSEE/MSCE or PhD with specialization in Low Power Architectures or energy-efficient design techniques, and experience with industry tools like SystemVerilog RTL, UVM, UPF, and Python. | — | 5 |
| 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 NVIDIA is seeking an Infrastructure Software Engineer to enable high-performing deep learning libraries like TensorRT and TensorRT-LLM. The role involves designing and developing scalable automation for build, test, integration, and release processes across diverse platforms, including autonomous vehicles and datacenters. The engineer will work with industry-standard tools like Kubernetes and Jenkins, and contribute to advancing these tools. | — | 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 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 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 |
| 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 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 |