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 |
|---|---|---|
| Power Methodology and Modeling Engineer - New College Grad 2026 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. They will also experiment with ML techniques to inform design decisions and improve power efficiency, working closely with various engineering teams. While ML is used, the core craft is not building ML models but applying them to power and energy analysis in chip design. | — | 5 |
| Senior Test Development Engineer - DataCenter System Software NVIDIA is seeking a Senior 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, analyzing test results, and supporting factory test processes. The ideal candidate will have 5+ years of experience in test development or firmware development, strong knowledge of server hardware and firmware, and experience with AI coding tools. A track record of driving automation initiatives and applying AI/ML to optimize test workflows is highly desirable. |
| — |
| 5 |
| Senior ASIC Design Verification Engineer - LPU NVIDIA is seeking an experienced Senior ASIC Design Verification Engineer to verify the design and implementation of inference accelerators. The role involves using advanced verification methodologies, collaborating with cross-functional teams, and potentially applying machine learning to the verification process. The focus is on ensuring the correctness of ASIC designs for high-performance processors. | — | 5 |
| Senior Physical Design Methodology Engineer, PPA Fusion Compiler Senior Physical Design Methodology Engineer focused on developing and implementing ML-based solutions to improve Power, Performance, and Area (PPA) for graphics processors and SOCs. This role involves developing efficient physical design methodologies, formulating ML-based solutions, and participating in the full chip design flow. | Serve | 5 |
| Senior Software Engineer, Cloud-Native Stack – CSP Engagements Senior Software Engineer role focused on the cloud-native stack for AI/ML datacenters, involving deep-dive debugging of multi-rack, multi-tenant clusters, prototyping feature extensions for Kubernetes and Slurm, and collaborating with customers and internal teams. Requires strong expertise in Kubernetes and Slurm internals, experience with next-gen GPUs, and a background in customer-facing engineering. | — | 5 |
| Senior Performance Verification Engineer Senior Performance Verification Engineer at NVIDIA, focusing on CPU performance analysis, correlation, and developing verification infrastructure. The role involves technical leadership, micro-architectural understanding, and scripting skills, with a focus on performance bottlenecks across various product lines including AI. | — | 5 |
| Senior Platform Telemetry Engineer NVIDIA is seeking a Senior Platform Telemetry Engineer to drive next-generation fleet management solutions for scaling AI infrastructure using GPUs. The role involves designing architecture for fleet health monitoring and fault-remediation, working with customers and product management, and ensuring end-to-end delivery of product features. This position requires strong coding experience in C/C++ and Python, knowledge of time series databases and telemetry visualization tools, and a proven record of solutions for scalability. | — | 5 |
| Principal Platform Software Engineer - RAS NVIDIA is seeking a Principal Platform Software Engineer to design and drive next-generation fleet management solutions for scaling AI infrastructure using GPUs and Grace superchips. The role involves architecture, implementation, testing, and customer education for fleet health monitoring and fault remediation at scale. | — | 5 |
| Senior System Software Engineer - GPU Performance Senior System Software Engineer focused on GPU performance for communication libraries (NCCL, NVSHMEM, UCX) in Deep Learning and HPC applications. Involves performance characterization, analysis, root-cause analysis of performance issues, and building tools for data visualization on large multi-GPU/multi-node clusters. Requires experience with parallel programming, communication runtimes, and systems software fundamentals. | — | 5 |
| Manager, Distinguished Engineer - DGX Systems Software Manager, Distinguished Engineer for DGX Systems Software at NVIDIA, responsible for the end-to-end delivery of DGX compute systems, ensuring seamless integration of firmware, OS, drivers, CUDA, networking, and AI applications. The role involves leading firmware development, defining validation strategies, driving platform bring-up and architecture, and managing the complete product delivery lifecycle for next-generation platforms. | — | 5 |
| Senior Linux Kernel Systems Software Engineer – CSP Engagements Senior Software Engineer role focused on system software for Datacenter products (GB200), involving Linux kernel development, device drivers, and system optimizations. The role requires deep expertise in data center server architectures, HPC and AI/ML workloads, and hardware-software co-design, with customer-facing responsibilities to enable cloud service providers. It involves advanced system debugging and performance optimization. | — | 5 |
| Senior HPC Architect, Automation and At-Scale Deployment The Senior HPC Architect will support the deployment and bring-up of large-scale GPU compute clusters, enabling AI and GPU computing breakthroughs. This role involves providing engineering solutions for GPU Computing products and software stacks, acting as an internal reference for system administration and large-scale GPU-accelerated systems, and working with scientific researchers and developers to craft workflows and solutions. | Serve | 5 |
| 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 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 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 |
| 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 |
| 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 |