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 GPU Communications Libraries Test Development Engineer, SDET This role focuses on testing and automating tests for NVIDIA's GPU Communications Libraries, which are foundational for high-performance computing and AI workloads. While not directly building AI models, the role requires solid experience with AI development tools and deep learning frameworks to ensure the quality of the underlying infrastructure. | — | 5 |
| Senior Silicon Validation and Methodology Engineer - In System Testing Senior Silicon Validation and Methodology Engineer at NVIDIA, focused on in-system testing of silicon designs. The role involves leading validation plan development, collaborating with cross-functional teams, developing automated test setups, analyzing results, and mentoring junior engineers. A strong emphasis is placed on leveraging AI tools (LLMs, code assistants, etc.) to accelerate various aspects of the validation workflow, including test generation, data analysis, documentation, and methodology optimization, while maintaining human judgment and rigor. | — | 5 |
| Senior DGX Cloud Test Development Engineer, SDET This role focuses on using and developing AI-powered tools to enhance software testing processes within NVIDIA's DGX Cloud platform. The engineer will be responsible for improving test case generation, defect detection, and test coverage, as well as performing various types of testing and automating test cases. While the role utilizes AI tools, its core function is software testing and quality assurance, not the direct development or research of AI models themselves. | — | 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 Digital Design Verification Engineer - Hardware Senior Digital Design Verification Engineer at NVIDIA, focusing on SerDes IPs that enable AI, deep learning, and autonomous driving. Responsibilities include verifying digital designs, building verification infrastructure, and working with cross-functional teams using UVM and SystemVerilog. | — | 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 |
| System Software Engineer, Platform Operations NVIDIA is seeking an operationally-focused System Software Engineer to ensure the stability, reliability, and flawless execution of all NVIDIA Deep Learning Institute (DLI) training events and oversee the broader day-to-day operational health of the entire learning platform. The role involves developing operational plans, providing technical leadership during live events, overseeing platform stability and reliability using SRE principles, and leading cross-functional coordination. | — | 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 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 Software Development Engineer in Test - SDET Senior Software Development Engineer in Test (SDET) at NVIDIA, responsible for test planning, execution, automation, and bug lifecycle management. The role requires experience with AI development tools, model testing, and LLM benchmarking, with a focus on ensuring product quality. | Eval Gate | 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 |
| Test Development Engineer - DataCenter System Software NVIDIA is seeking a Test Development Engineer in Taipei, Taiwan, to design, develop, and maintain automated test frameworks and pipelines for server firmware and software. The role involves implementing end-to-end test automation, collaborating with cross-functional teams, supporting factory test processes, analyzing test results, and contributing to continuous improvement of testing strategies. The candidate should have 5+ years of experience in test development or firmware development, strong knowledge of server hardware and firmware, and experience with AI coding tools and applying AI/ML to optimize test automation. | — | 5 |
| SWQA Development Engineer Software QA Development Engineer at NVIDIA responsible for test planning, execution, and reporting, including script automation, tool development, and integration testing to improve productivity and optimize test plans. Focuses on identifying weak spots and designing creative test plans to ensure product quality. | Eval Gate | 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 |
| Senior Software Developer NVIDIA is seeking a Senior Software Developer to join their AI networking acceleration team. The role involves developing a groundbreaking open-source library using hardware offloads, GPU Kernels, and RDMA network cards, focusing on a performance-oriented, low-level inference framework. The position requires strong C++/C/Python development skills, Linux environment experience, and deep knowledge of TCP/IP networking. Experience with Linux internals, low-level optimizations, CUDA kernels, ML frameworks, LLMs, parallel programming, HPC, or RDMA is advantageous. | Serve | 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 System Software Engineer, Compute System Senior System Software Engineer to work on the architecture and design of user mode drivers that interact with GPU, DLA and other Tegra compute engines. Focus on functional safety software for automotive sectors and safety certification. | — | 5 |
| Developer Technology Engineer NVIDIA is seeking a Senior Developer Technology Engineer focused on game consoles to optimize applications for NVIDIA's GPU architectures. This role involves working with developers on software, engines, and libraries to improve performance and efficiency, with a focus on AI inferencing workloads and cutting-edge rendering techniques. | Serve | 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 AI Chip Design Engineer NVIDIA is seeking a Senior AI Chip Design Engineer to develop and implement AI-powered methodologies and applications for chip design. This role involves collaborating with design teams, utilizing AI tools, evaluating new technologies, and building automation infrastructure to improve the chip design process. The ideal candidate has extensive pre-silicon design experience and a strong understanding of the modern AI ecosystem. | — | 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 Deep Learning Test Development Engineer, SDET Senior Deep Learning Test Development Engineer (SDET) at NVIDIA, focusing on validating the performance and robustness of Deep Learning software and GPU infrastructure across various AI applications like autonomous driving, healthcare, and NLP. The role involves test plan design, execution, automation, bug management, and leveraging AI-powered tools for efficiency. | 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 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 |