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 Software Engineer - Cloud and Kubernetes Senior Software Engineer focused on designing and building next-generation cloud platforms powered by Kubernetes, ConnectX, BlueField NICs, and GPUs, accelerating HPC and AI workloads. | — | 5 |
| VLSI Design Automation Software Engineer NVIDIA is seeking a VLSI Design Automation Software Engineer to manage and maintain VLSI development infrastructure. The role involves optimizing compute and storage, developing automation scripts, creating dashboards, and leveraging AI-assisted engineering workflows. The engineer will collaborate with a remote team and engage in the full lifecycle of infrastructure tool development. | — | 5 |
| Senior Systems Software Engineer - Advanced Technology Group Senior Systems Software Engineer role focused on developing and accelerating computational methods for semiconductor manufacturing and design using GPUs. The role involves creating strategy, driving innovation, and delivering complex software solutions at scale. |
| — |
| 5 |
| Senior Full-Stack Lead Engineer Senior Full-Stack Lead Engineer to join the AI Hub team within the DGX Cloud AI Infrastructure organization. The role focuses on building and operating a unified, self-service portal for AI researchers to manage, monitor, and optimize their use of Managed AI research Superclusters, accelerating AI research by ensuring efficient and scalable use of NVIDIA's AI infrastructure. | — | 5 |
| Senior GPU Compiler Development Engineer NVIDIA is seeking an experienced Senior GPU Compiler Development Engineer to join their PTX Compiler Development team. The role involves driving PTX language design and compiler evolution, enabling applications in HPC, Deep Learning, and Autonomous Driving. The engineer will work on enhancing the PTX Compiler infrastructure to support new compilation models for DL and Generative AI codes, and contribute to evolving the programming model for these applications on GPUs. Responsibilities include providing stewardship for PTX ISA and compiler infrastructure for AI/DL, collaborating on programming models for next-gen GPUs, and designing compilation stack strategies for AI/DL workloads. | — | 5 |
| Senior System Architect - LPU Platform Pathfinding NVIDIA is seeking a Senior System Architect to lead rack-level and platform pathfinding for next-generation GPU and LPU systems, focusing on high-performance, reliable AI platforms. The role involves defining system-level solutions, requirements across power, cooling, mechanics, and connectivity, and collaborating with cross-functional teams to deliver practical architectures. Experience with server/storage/networking hardware, data center infrastructure, and electrical architecture is required. | — | 5 |
| Senior Post Silicon Validation Engineer - LPU This role is for a Senior Post Silicon Validation Engineer at NVIDIA, focusing on the validation of complex System Level Tests (SLT) for High Volume Manufacturing (HVM) of SoCs, GPUs, and ASICs. The role involves leading design, automation, and validation efforts, partnering with various engineering teams, and optimizing test solutions for performance, power efficiency, and coverage. While the company heavily utilizes AI and its products are central to AI advancements, this specific role is in hardware validation and engineering, not directly building or researching AI models. | — | 5 |
| Senior System Level Test Engineer - LPU NVIDIA is looking for a Senior System Level Test Engineer to lead the design, automation, and validation of System Level Tests (SLT) for High Volume Manufacturing (HVM) of complex SOCs, GPUs, and ASICs. The role involves developing test flows, optimizing system performance, and collaborating with various engineering teams to ensure production readiness and improve manufacturing test quality. Experience with new silicon bring-up, high power SOCs, high-speed I/Os, and programming languages like C#, C/C++, PERL, and Python is required. | — | 5 |
| Systems Quality and Reliability Lead - LPU This role focuses on the quality and reliability of NVIDIA's AI/ML products, specifically managing RMA and Failure Analysis (FA) debug and root-cause analysis. The engineer will analyze field data, identify trends, create reports, and oversee hardware quality performance and operational performance of FA at manufacturing partners. While the role is within an AI company and deals with AI/ML products, the core function is systems quality and reliability engineering, not direct AI/ML model development or deployment. | — | 5 |
| Senior VLSI CAD Engineer Senior VLSI CAD Engineer at NVIDIA focused on building and maintaining foundational tools and flows for custom RAM design, enabling faster and more innovative circuit design. The role involves integrating EDA tools, managing release processes, and ensuring seamless integration into Place-and-Route flows, with a direct impact on NVIDIA's advanced products. | — | 5 |
| Senior Software Engineer - Drive OS Senior Software Engineer role focused on automating build, test, integration, and release processes for NVIDIA DRIVE OS. The role involves configuring DevOps tools, developing shared utilities, and prototyping AI-driven developer tools like LLM-assisted documentation analysis and intelligent agents for dependency management. | Agent | 5 |
| Senior System Software Engineer - Neural Graphics SDKs Senior System Software Engineer to develop and maintain NVIDIA's software ecosystem for neural graphics, including key OSS platforms like GSplat. The role involves implementing, validating, releasing, and maintaining SDKs, APIs, and libraries for Neural Reconstruction, influencing software architecture, validation strategy, and technical roadmaps. Experience with Python, C++, distributed systems, and GPU acceleration is required. | Serve | 5 |
| Senior Silicon and System Product Lead NVIDIA is seeking a Senior Silicon and System Product Lead to drive the development and market launch of next-generation products, integrating silicon, software, and operations across various market segments including DL/AI. The role involves defining product targets, evaluating market needs, optimizing performance and power, and collaborating with cross-functional teams from architecture to production. | — | 5 |
| Senior Silicon and System Product Lead This role is for a Senior Silicon and System Product Lead at NVIDIA, responsible for defining, developing, and delivering next-generation products that integrate silicon, software, and operations across various market segments including DL/AI. The role involves market analysis, translating requirements to engineering, optimizing performance and power, and driving features to production. While AI is a key market segment, the role itself is product management focused on hardware and system integration, not direct AI/ML model development. | — | 5 |
| Senior DevOps Engineer, AIOPs NVIDIA is seeking a Senior DevOps Engineer to operate an AI Data Center AIOps platform, focusing on reliability, performance, and automation for GPU fleets. The role involves monitoring, incident response, Kubernetes deployments, and building runbooks/SOPs. Requires experience in operating production distributed systems, ownership of observability platforms, and strong Kubernetes and automation skills. | — | 5 |
| Senior DFX Infrastructure Engineer This role focuses on building and developing internal infrastructure tools for ATE test vector release and fail analysis/diagnosis flows, supporting silicon bringup and FA teams. It requires strong scripting skills (Perl, Python) and experience with ATE knowledge, particularly Advantest 93k. While NVIDIA is an AI company and uses AI tools, this specific role is about developing infrastructure for hardware testing, not directly building or researching AI models. | — | 5 |
| Senior Technical Marketing Engineer - EDA and Semiconductor Senior Technical Marketing Engineer at NVIDIA focused on EDA and Semiconductor domain. The role involves creating technical content, benchmarking EDA workflows on NVIDIA platforms, and enabling developers and researchers. Requires experience in software development, technical evangelism, EDA/Semiconductor workflows, and knowledge of AI/ML techniques and parallel programming. | — | 5 |
| Senior Formal Verification Engineer - LPU Senior Formal Verification Engineer at NVIDIA focusing on verifying AI-related ASIC builds and features using advanced formal verification methods. Requires expertise in SystemVerilog Assertions (SVA), formal property verification, and experience with formal verification tools. The role involves collaborating with architecture and RTL teams, developing verification environments, and supporting silicon bring-up. While the role uses AI tools and verifies AI-related hardware, the core craft is formal verification of ASICs, not direct AI/ML model development. | — | 5 |
| Senior Physical Design Methodology Engineer, Innovus Flows This role focuses on developing and improving physical design methodologies for NVIDIA's chips, including GPUs and processors. While it mentions using AI/ML approaches to enhance CAD tools and design performance, the core function is in physical design engineering, not directly building AI models or systems. | — | 5 |
| Manager, Software Performance Engineering - Autonomous Vehicles Manager of Software Performance Engineering for Autonomous Vehicles at NVIDIA, focusing on scaling performance engineering efforts across the NVIDIA DRIVE Autonomous Solutions (NDAS) product portfolio. The role involves leading a team, defining roadmaps, improving workflows, and collaborating with customers and internal teams to ensure high-quality autonomous driving experiences. | — | 5 |
| Lead Software Engineer, Fleet Management - DGX Cloud Lead Software Engineer for NVIDIA's DGX Cloud team, focusing on building foundational systems for high-performance GPU infrastructure. The role involves designing scalable cloud services, ingesting telemetry from AI datacenters, managing data pipelines, and optimizing cloud operations. Requires expertise in cloud infrastructure, distributed systems, and API design, with a focus on operational automation and reliability. | — | 5 |
| Senior VLSI CAD Software Engineer Senior VLSI CAD Software Engineer role at NVIDIA, focusing on designing, developing, and supporting high-performance chip design and visualization tools. The role involves full-cycle development in an Agile environment, utilizing modern tooling and AI-assistants, and collaborating with internal engineering customers. Requires significant experience in CAD/EDA tool development with expertise in C++, Java, or C#, and strong software architecture skills. The role is in an AI environment but does not directly build AI models. | — | 5 |
| Senior VLSI Methodology Engineer Senior VLSI Methodology Engineer to architect automation for library modeling, quality checks, and release for NVIDIA's PD flows. Build and integrate data-driven pipelines and verification systems, collaborating with process and cell-design teams to align modeling standards with advanced technology nodes. | — | 5 |
| Senior Life Cycle Engineer, PyTorch - Deep Learning NVIDIA is seeking Senior Software Engineers to build and maintain systems for continuous integration, testing, and delivery of advanced software stacks, focusing on improving developer productivity for NVIDIA's AI software ecosystem and ensuring deep learning frameworks run optimally on NVIDIA hardware. This is a software engineering role focused on tools and infrastructure. | — | 5 |
| Senior Software Engineer, Distributed Systems - NIM Factory Senior Software Engineer to design and build factory infrastructure and automation for NVIDIA Inference Microservices (NIMs). The role focuses on optimizing and serving performant inferencing for AI models in heterogeneous environments, building an efficient, scalable, and reliable automation factory to produce validated NIMs. | Serve | 5 |
| 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 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |