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 |
|---|---|---|
| Senior System Software Engineer, Deep Learning Accelerator NVIDIA is seeking a Senior System Software Engineer to develop and maintain system software drivers for their Deep Learning Accelerator (DLA/NPU) hardware. The role involves working on user mode drivers, kernel mode drivers, firmware, and the DLA compiler toolchain. While familiarity with deep learning is desired, the core focus is on low-level system software and hardware acceleration. | — | 5 |
| Deep Learning Kernel Software Performance Architect This role focuses on optimizing GPU kernel performance for deep learning workloads by building automated, data-driven workflows to detect, explain, and prevent performance regressions. The engineer will be responsible for performance analysis, debugging, and developing Python-based automation for performance testing and analysis, collaborating with various engineering teams. | — | 5 |
| Senior Compiler Engineer NVIDIA is seeking a Senior Compiler Engineer to design, develop, and improve the GNU Toolchain for NVIDIA's CPUs, which are critical for AI and HPC workloads. The role involves contributing new features and optimizations, working with open-source communities, and collaborating on next-generation CPU micro-architectures. |
| — |
| 5 |
| Manager, Software Tools Development Manager for Software Test and Tools Development at NVIDIA, focusing on creating automated tests and tools for GPU software and SDKs. The role involves leading a team, defining test strategies, and implementing automation using Python & C#, with exposure to AI/ML and Agentic AI for workflow optimization. | — | 5 |
| Senior System Validation Methodology Engineer NVIDIA is looking for a Senior System Validation Methodology Engineer to develop and lead silicon validation methodologies, debug complex system-level issues, and drive automation. The role involves working with HW and SW teams, bringing up new flows on pre-silicon platforms, and applying AI to semiconductor co-design and validation problems. | — | 5 |
| Senior Software R&D Engineer, VLSI Physical Design Senior R&D Software Engineer to develop internal EDA tools by fusing advances in parallel computing, machine learning, and specialized algorithms for VLSI design, aiming to optimize chip frequency and minimize power consumption. The role involves inventing new optimization engines, improving algorithms in C++, and owning the process from discovery to deployment within design teams. | — | 5 |
| Senior Software R&D Engineer, VLSI Physical Design Senior Software R&D Engineer specializing in VLSI Physical Design, focusing on algorithms for placement, global routing, floorplanning, and optimizing physical design. The role involves creating innovative algorithms for computational geometry, placement, and fast routing, and developing machine learning strategies to improve design space exploration efficiency. The software and tools created will impact the delivery of next-generation AI chips. | — | 5 |
| EDA Methodology Architect This role focuses on defining and owning the RTL2GDS flow for advanced node designs, involving optimization of EDA tools by integrating parallel computing, machine learning, and specialized algorithms. The architect will work with P&R engine developers, define next-gen flows, design experiments, and use ML/GenAI techniques for data analysis and automation. While the core role is in physical design and EDA methodology, there's a strong emphasis on applying AI/ML to enhance these processes, making it AI-adjacent. | — | 5 |
| Senior Software Quality Assurance Engineer Senior QA Engineer role focused on testing NVIDIA's Workstation and Virtualization products. Responsibilities include reproducing customer-reported issues, performing root cause analysis, validating fixes, and developing Python, C#, and C++ scripts and diagnostic tools. The role also involves building AI-driven tools to improve workflow efficiency and experience with Generative AI platforms/LLMs is a plus. | — | 5 |
| Hardware Systems Application Engineer - CSP This role focuses on deploying and optimizing NVIDIA's AI-centric hardware platforms (like Grace-Blackwell) within Cloud Service Providers' data centers. The engineer will act as a primary point of contact, collaborating with customers and internal teams to solve complex hardware and software system issues, and contribute to future data center architectures. While the role is in AI data centers, the core responsibilities are hardware systems engineering and deployment, not direct AI/ML model development. | — | 5 |
| Senior HPC Storage Engineer NVIDIA is seeking a Senior HPC Storage Engineer to lead research, design, and implementation of fast storage solutions for high-performance computing and computationally intensive workloads. The role involves identifying architectural changes for file, block, and object storage, developing automation tooling, and collaborating with teams to understand developer workflows and infrastructure requirements. The position also supports researchers by optimizing deep learning workflows and performing root cause analysis for storage issues. | — | 5 |
| Senior Software Engineer, AI Networking Senior Software Engineer role focused on AI networking products, specifically BlueField DPU and ConnectX. The role involves architecting, designing, and developing hardware-accelerated software solutions, leading technical engagements with hyperscalers, and driving performance/reliability improvements. Requires deep expertise in networking protocols, distributed systems, and low-level software development. | — | 5 |
| AI Hardware Architect NVIDIA is seeking an AI Hardware Architect to design next-generation AI hardware, focusing on GPUs and CPUs. The role involves analyzing AI applications and models, developing microarchitectural solutions for various system-level issues, and optimizing performance and power. This position requires deep knowledge of computer architecture, microarchitecture, and chip design, with a good understanding of LLMs. | — | 5 |
| Semiconductor Safety Engineer NVIDIA is seeking a Semiconductor Safety Engineer to develop next-generation System on Chip (SoC) products for autonomous driving. This role involves collaborating with architects and designers on safety diagnostics, performing safety analysis and verification, optimizing engineering methodologies, and supporting third-party assessments. The position requires a Bachelor's degree in engineering, 5+ years of experience in automotive safety semiconductors, and a deep understanding of ISO 26262 functional safety standards. Experience with ADAS, autonomous driving, neural networks, and GPUs is a plus. | — | 5 |
| Senior Developer Technology Engineer, High-Performance Databases Senior Developer Technology Engineer focused on GPU-accelerating high-performance databases and ETL applications. This role involves researching and developing techniques to optimize data-intensive workloads, analyzing hardware/system bottlenecks, and influencing next-generation hardware and software design. The position requires expertise in C/C++, parallel programming (CUDA, OpenMP, MPI), CPU/GPU architecture, and domain knowledge in high-performance databases and data analytics. | — | 5 |
| Manager, GPU Accelerated Data Analytics Manager for a team of performance engineers focused on optimizing CPU and GPU performance for data analytics workloads, including database, data preprocessing, and video transcoding, using NVIDIA's platform. The role involves researching and developing new algorithms and techniques to improve performance and reduce cost/power, leading software design decisions, influencing architecture, and mentoring the team. Requires strong C/C++ programming, CUDA, CPU/GPU architecture expertise, and leadership experience. | — | 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 |
| Principal System Software Engineer - CUDA Driver NVIDIA is seeking senior engineers to work on the CUDA driver, a core component of their GPU acceleration platform. The role involves evangelizing, architecting, and implementing new CUDA features, collaborating with hardware teams, and developing code for multiple operating systems. Experience with systems software development, C programming, operating system interfaces, and HW/SW co-design is required. | — | 5 |
| Senior ASIC Design Verification Engineer - LPU Senior ASIC Design Verification Engineer to verify the design and implementation of the world's leading inference accelerator. This role involves using advanced verification methodologies, collaborating with cross-functional teams, and potentially applying machine learning to the verification flow. | Serve | 5 |
| Senior HPC Cluster Engineer NVIDIA is seeking a Senior HPC Cluster Engineer to design, deploy, and operate GPU Compute Clusters for EDA and HPC workloads. The role involves developing automation solutions, improving infrastructure, providing technical leadership, and supporting researchers with performance analysis and optimization. | — | 5 |
| System Design Engineer NVIDIA is looking for a System Design Engineer to develop next-generation products including GPUs, DPUs, CPUs, and LPUs for Graphics, Self-driving platforms, and Data centers. The role involves end-to-end design execution, testing, documentation, and interfacing with other engineering teams. Responsibilities include researching new features and implementing industry standards in product development. | — | 5 |
| Senior Software Engineer - HPC Senior Software Engineer focused on improving HPC infrastructure for AI applications, involving distributed systems, cloud operations, and reliability. | — | 5 |
| Principal System Software Engineer - Data Center MODS NVIDIA is seeking a Principal System Software Engineer to architect and scale next-generation diagnostic systems for Cloud Service Providers (CSPs), focusing on AI accelerator products. The role involves defining technical roadmaps, leading multi-functional development, and deploying robust diagnostic frameworks. Expertise in distributed systems, hardware/software interfaces, C++, Python, and system software is required. | — | 5 |
| Principal SoC Architect - Hardware NVIDIA is seeking a Principal Hardware SoC Architect to define next-generation SoCs for AI, automotive, and HPC applications. This role involves end-to-end hardware architecture lifecycle ownership, co-design with software teams, performance modeling, specification authoring, and post-silicon support. The ideal candidate has extensive SoC architecture experience and a strong understanding of various system components and technologies. | — | 5 |
| Principal Software Engineer, AI Networking Principal Software Engineer to lead technical strategy for AI networking systems, focusing on customer engagements, product development, and architecture for NVIDIA's networking products like BlueField and ConnectX. Responsibilities include deep technical engagements, driving improvements, and translating customer needs into product features. | — | 5 |
| Senior SWQA Test Development Engineer, SDET This role focuses on enhancing QA efficiency using AI-powered tools for test automation, defect detection, and optimization. While it leverages AI tools extensively, the core craft is software quality assurance and testing, not the direct development or research of AI models themselves. The primary output is a tested software product. | — | 5 |
| Senior AI and HPC Observability Engineer NVIDIA is seeking a Senior AI and HPC Observability Engineer to design and scale observability platforms and telemetry pipelines for AI/ML systems. The role involves building high-performance backend services, developing OpenTelemetry components, optimizing metrics pipelines, and ensuring platform reliability in distributed environments, with a focus on AI and HPC workloads. | Serve | 5 |
| Senior Software Developer, AI Networking Senior Software Developer role focused on developing a high-performance, low-level infrastructure for AI networking acceleration, specifically for inference. The role involves working with hardware offloads, GPU kernels, and RDMA, aiming to optimize the inference process on large-scale supercomputers and data centers. | Serve | 5 |
| Orbital Datacenter System Architect NVIDIA is seeking an Orbital Datacenter System Architect to define and build products for AI in orbit, driving architecture from chip to satellite and connectivity, and collaborating with internal teams, customers, and partners. | — | 5 |
| Senior System Software Engineer - Data Platform Observability Senior System Software Engineer to lead the evolution of NVIDIA's next-generation Data & Observability Platform, serving AI, HW, and SW engineering teams. The role involves architecting high-performance ingestion pipelines, building policy enforcement systems, developing a unified user interface and APIs, optimizing storage, and driving platform automation. | — | 5 |
| Senior Site Reliability Engineer - HPC Senior Site Reliability Engineer for NVIDIA's Compute Farm team, focusing on building and operating a global services platform for HPC and AI workloads. The role involves end-to-end SRE solutions, Infrastructure as Code, multi-cloud environments, and ensuring high availability and quality of service for internal customers. Requires strong experience in supporting large-scale HPC clusters, CI/CD, IaC, and operational excellence. | — | 5 |
| Manager, SWQA Test Development Manager for SWQA Test Development at NVIDIA, focusing on GPU Cloud Computing products. The role involves leading a team to develop test plans and automated testing, with an emphasis on using AI technologies to improve quality and efficiency. The manager will drive a "Zero Defect" culture and collaborate with various engineering teams. | — | 5 |
| Distinguished Resiliency and Safety Architect, GPU Diagnostics The role focuses on designing, developing, and maintaining diagnostic software for NVIDIA GPUs and SoCs, specifically for resiliency in datacenters and functional safety in autonomous vehicles and robots. It involves identifying hardware defects, addressing coverage gaps, studying failure mechanisms, and ensuring compliance with safety standards like ISO 26262. The position requires deep understanding of hardware/software boundaries, high-performance computing systems, and proficiency in C/C++, CUDA, and Python. | — | 5 |
| Senior GPU Functional Modeling Architect This role involves modeling GPU architecture and components, developing tools for simulation and analysis, and creating test infrastructure for new architectures. While the role mentions using AI for day-to-day tasks and proficiency in ML frameworks, its core focus is on the engineering and simulation of GPU hardware, not directly shipping AI models or agents. | Serve | 5 |
| 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 |