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 Systems Software Engineer, CUDA Driver - Multi-Node and Memory Model NVIDIA is seeking a Senior Systems Software Engineer to work on the CUDA Driver, focusing on multi-node scalability and memory models for next-gen AI applications. The role involves architecting and implementing new features, coordinating development, and improving the CUDA platform. | — | 5 |
| Senior Software Engineer, DriveAV - Autonomous Vehicles NVIDIA is seeking a Senior Software Engineer for their DriveAV team in Bangalore, India, to work on autonomous vehicle software. The role involves supporting the integration and issue resolution of ADAS features, mapping customer requirements, and diving deep into root cause analysis. The ideal candidate will have 5+ years of experience in ADAS or autonomous driving software, experience integrating AV functions, and understanding of fault mapping and diagnostic routines. | — | 5 |
| Senior Accelerated Computing Architect Senior Accelerated Computing Architect role at NVIDIA focusing on optimizing performance on NVIDIA GPUs for HPC, scientific computing, ML, AI, datacenter, and automotive computing. Requires deep understanding of parallel algorithms, data structures, GPU programming (CUDA/OpenCL), and C/C++. |
| — |
| 5 |
| Senior Mapping Engineer - Autonomous Vehicles Senior Software Engineer for NVIDIA's Autonomous Vehicle Map Team, focusing on building and integrating production-grade on-vehicle map solutions that enable real-time map consumption by perception, localization, and planning systems. The role involves C++ performance optimization for embedded systems and real-time constraints, and potentially contributing to cloud mapping pipelines. | — | 5 |
| Hardware Architect, Deep Learning GPU and System NVIDIA is seeking a Hardware Architect to join their Deep Learning GPU and System team. The role involves contributing to features for next-generation GPUs and systems to advance AI. Responsibilities include analyzing deep learning methods on hardware architectures, proposing new features (HW, SW, or Algorithmic), and focusing on hardware architecture and workload performance. Requires a degree in CS, EE, or related field, 2+ years of experience in performance, hardware architecture, or deep learning analysis, and familiarity with GPU computing. | — | 5 |
| System and Scheduling Architect – GPU NVIDIA is seeking a GPU system and process scheduling architect to design the next generation GPU system interface. This role involves understanding GPU sub-system interoperation, architecting features with cross-functional teams, creating performance models, and supporting post-silicon validation. The role requires experience in C/C++ and computer architecture, with knowledge of DL/ML being a plus. | — | 5 |
| Senior Software SDET Test Development Engineer NVIDIA is seeking a Senior Software SDET Test Development Engineer to join their platform SWQA team. The role involves developing and executing test plans for NVIDIA HGX/DGX/MGX platforms, including servers, OS, FW, and CUDA SW stack. Responsibilities include installing and testing systems, driving root cause analysis for failures, building automation frameworks, and managing bug lifecycles. The ideal candidate will have extensive experience in OS and server-level automation, CI/CD, DevOps, and troubleshooting in Linux environments, with good knowledge of AI tools, NLP, and LLM benchmarking. | Ship | 5 |
| Senior Software QA Test Development Engineer - Diagnostics This role is for a Senior Software QA Test Development Engineer focused on diagnostics for NVIDIA's platform SWQA team. The responsibilities include developing and executing test plans for servers, OS, firmware, and CUDA SW stack, driving root cause analysis for failures, and building automation frameworks. The role requires experience in OS and server level automation, CI/CD, DevOps, and knowledge of AI tools/frameworks like TensorFlow, PyTorch, NLP, and LLM benchmarking. While the role involves testing AI-related components and using AI tools for testing, its core function is QA and test development, not direct AI model development or research. | — | 5 |
| Senior SWQA Test Development Engineer Senior Software Quality Assurance (SQA) Test Development Engineer at NVIDIA, focusing on the quality of AI microservices and inference platforms. The role involves leading test strategy, building automation frameworks, and validating LLM inference workflows, with an emphasis on distributed systems and containerized AI environments. | Serve | 5 |
| Quality Assurance Software Developer in Test Engineer NVIDIA is seeking a Software Development Engineer in Test with 5+ years of programming experience in Python/C/C++ to design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs. The role involves building tools to accelerate testing workflows, ensuring software quality, and improving customer experience with GeForce NVIDIA products. | Ship | 5 |
| Senior Data Center Network Deployment Engineer NVIDIA is seeking a Senior Data Center Network Deployment Engineer to join their AI Infrastructure team. This role involves deploying, managing, and optimizing large-scale AI data center networks, including control, network, and storage stacks. The engineer will develop automation scripts, support R&D activities, and engage in POCs/POVs. The position requires strong networking fundamentals, proficiency in Windows/Linux networking, and experience with data center architecture, with a preference for knowledge of HPC and AI solution technologies. | — | 5 |
| Senior Software Engineer - Python Numerical Computing Libraries NVIDIA is seeking a Senior Software Engineer to contribute to the design and development of accelerated and distributed implementations of Python APIs for numerical computing. This role involves optimizing GPU-accelerated libraries that support frameworks like NumPy, SciPy, TensorFlow, and PyTorch, crucial for AI, data science, and HPC. The engineer will architect, develop, and analyze performance of these APIs on various architectures, and contribute to runtime systems for multi-GPU computing. | — | 5 |
| Senior Developer Technology Engineer, Public Sector Senior Developer Technology Engineer for the Public Sector team at NVIDIA. This role involves researching and developing techniques to GPU-accelerate leading applications in the federal ecosystem, including AI in HPC. The engineer will perform in-depth analysis and optimization for current and next-generation GPU architectures, collaborating with application developers and NVIDIA teams. | Serve | 5 |
| Senior CPU Performance Architect NVIDIA is seeking a Senior CPU Performance Architect to drive the development of CPU technology for architectures used in AI/DL, HPC, CSP, gaming, VR, and autonomous vehicles. The role involves workload bring-up, performance analysis, identifying bottlenecks, and collaborating with architects to improve future designs. The candidate will also benchmark NVIDIA's CPUs against competitors and suggest improvements. | — | 5 |
| Networking Solution Test Engineer - AI IB and Ethernet Cluster Debugging NVIDIA is seeking a Networking Solution Test Engineer to join their End-to-End Verification team. The role involves working on cutting-edge Ethernet-based AI clusters, debugging complex issues across hardware, system software, and AI workloads. Responsibilities include designing test requirements, building testbeds, owning end-to-end cluster troubleshooting, collaborating with development teams on networking components, defining tests for automation, running regression and performance tests, and profiling deep learning workloads. | Serve | 5 |
| 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 |
| Technical Marketing Engineer - AI Platform Software Technical Marketing Engineer role focused on creating content and empowering developers using NVIDIA's AI platform software, specifically for deep learning training and inference. The role involves collaborating with engineers, building training materials, improving documentation, and providing code guidelines. | — | 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 |