Currently tracking 440 active AI roles, down 46% 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 107 new AI-related roles. That is a -49% change versus the prior 30 days (211 → 107).
| Title | Stage | AI score |
|---|---|---|
| Senior Solutions Architect, Infiniband and Networking Ethernet This role focuses on building and supporting AI/HPC infrastructure, specifically the networking aspects (Infiniband and Ethernet). Responsibilities include designing, deploying, and maintaining large-scale AI clusters, ensuring performance, monitoring, and reliability. It involves customer interaction, system design, automation, and providing feedback to internal teams. The role requires deep expertise in networking fundamentals, data center architecture, specific protocols (EVPN, BGP, OSPF, VXLAN), network platforms, and automation tools (Ansible, Python) for network provisioning and CI/CD. | Serve | 5 |
| Senior Site Reliability Engineer, AI Factory This role focuses on the Site Reliability Engineering (SRE) of large-scale, GPU-accelerated data centers that serve as AI factories. The primary responsibility is to architect, automate, and operate these datacenters, ensuring their resilience, scalability, and efficiency. This involves managing GPU systems, firmware, monitoring hardware, triaging issues, and collaborating with software and hardware teams to define operational strategies and procedures. The role emphasizes maintaining high availability and performance through robust processes and rapid response to incidents, ultimately supporting the foundation of global AI infrastructure. |
| — |
| 5 |
| Senior Manager, Networking Application This role is for a Senior Manager in Networking Application Engineering at NVIDIA. The primary focus is on managing a team that supports AI fabric technologies and high-performance computing, working closely with customers and R&D teams to resolve complex issues across hardware, firmware, and systems. While the role is within an AI-focused company and supports AI infrastructure, the core craft is not AI/ML model development but rather networking and system-level engineering. | — | 5 |
| Senior GPU Functional Modeling Architect This role involves modeling GPU architecture and components, developing tools for simulation and analysis, and creating test infrastructure for new architectures. While the role mentions using AI for day-to-day tasks and proficiency in ML frameworks, its core focus is on the engineering and simulation of GPU hardware, not directly shipping AI models or agents. | Serve | 5 |
| Senior GPU Supercomputer Scheduler Engineer NVIDIA is seeking a Senior GPU Supercomputer Scheduler Engineer to design and implement scheduling features for GPU compute clusters that run demanding AI/ML and HPC workloads. The role involves developing batch workload management, improving resource usage, and performance analysis of deep learning workflows. | Serve | 5 |
| Director, Programmable Vision Accelerator Software Director of Programmable Vision Accelerator Software at NVIDIA, leading teams responsible for the system software stack and DSP SDK for the PVA engine on the Tegra SoC platform. The role involves architecting and developing features for computer vision and AI applications in areas like self-driving cars, robotics, and medical devices, requiring strong technical leadership and deep understanding of embedded systems, DSP, and computer vision. | — | 5 |
| Regional Embedded Sales Manager Regional Embedded Sales Manager for NVIDIA's robotics and edge AI platform, focusing on demand generation, pipeline management, and sales operations within the NALA region. The role involves managing distributor sales, building relationships with OEMs and integrators, and driving new business opportunities. | — | 5 |
| AI Compute Engineer NVIDIA is seeking an AI Compute Engineer to deploy, manage, and maintain AI infrastructure for customers, focusing on large-scale AI factory projects involving networking, system design, and automation. The role requires strong Linux and data center experience, with a focus on customer interaction and support. | Serve | 5 |
| Senior Network Architect This role focuses on the architecture, design, and deployment of ultra-high-speed, resilient, and scalable network interconnects for GPU-accelerated data centers and compute clusters, specifically supporting AI/ML training and inference environments. It requires expertise in networking technologies, automation, and security standards. | — | 5 |
| Senior Software Architect, DriveOS NVIDIA is seeking a Senior Software Architect for DriveOS, a platform powering millions of autonomous vehicles. The role involves leading system software architecture, decomposing requirements, resolving complex issues, and collaborating with various engineering teams and stakeholders. The ideal candidate will have extensive experience in embedded systems, system software, and compliance with industrial-grade quality standards, with a focus on automotive safety and cybersecurity. | — | 5 |
| Software Solutions Engineer - Cloud and Graphics Technologies NVIDIA is seeking a Software Solutions Engineer to support Physical AI products like Omniverse and Isaac Sim, focusing on cloud environments. The role involves troubleshooting, feature development, customer issue resolution, and collaborating with engineering teams. Requires experience in customer-facing technical roles, 3D graphics/simulation, and cloud-native architectures. | — | 5 |
| EMEA Sales Senior Account Manager, Smart Spaces and Local Government NVIDIA is seeking an EMEA Sales Senior Account Manager for Smart Spaces & Local Government. This role focuses on building strategic relationships with cities and public-sector organizations to position NVIDIA's platforms and AI Factory strategy for modernizing public services. The candidate will drive revenue growth, build pipelines for AI adoption, and influence policy and standards in responsible AI. | — | 5 |
| Principal Software Engineer, Full Stack NVIDIA is seeking a Principal Software Engineer for their FinOps team, responsible for leading and optimizing cloud infrastructure spending. The role involves architecting and delivering high-scale web applications, establishing engineering standards, mentoring engineers, and partnering with other teams. Requires extensive software engineering experience, data engineering expertise with large-scale data lakes, cloud proficiency, and full-stack development skills. Experience with AI tools for code efficiency is mentioned, and cloud cost optimization is a plus. | — | 5 |
| Senior Software QA Engineer, Data Processing NVIDIA is seeking a senior software QA engineer focused on data processing and analysis for autonomous driving and parking functions. The role involves large-scale testing before mass production, analyzing driving data, assessing performance, and making release judgments. This position requires collaboration with engineering teams, understanding the AV stack, and ensuring high-quality AV software delivery. | — | 5 |
| CAD Layout Design Engineer NVIDIA is seeking a CAD Layout Design Engineer to join their Layout Methodology team. The role involves studying new technologies, creating digital IP for layout work, and investigating the application of ML/DL/LLM techniques for layout creation. The ideal candidate will have 5+ years of experience in SRAM/Analog layout design, proficiency in Cadence SKILL and Python/Perl/Shell scripting, and experience with PCELL development. | Data | 5 |
| Senior DevOps Engineer Senior DevOps Engineer role focused on building and maintaining Kubernetes-based infrastructure for AI development, compute, and testing environments. The role involves architecting scaling operations, managing compute infrastructure, designing AI tools for automation, and prototyping cloud infrastructure for NVIDIA. | Serve | 5 |
| Senior Performance Architect - Heterogeneous Workload Optimization Senior Systems Performance Engineer to build next-generation profiling infrastructure for optimizing heterogeneous workloads (CPU and GPU) in EDA applications, focusing on memory access patterns, cache utilization, and GPU kernel performance. | — | 5 |
| Senior HPC DevOps Engineer NVIDIA is seeking a Senior HPC DevOps and Network Engineer to build and maintain large-scale HPC/AI clusters. The role involves designing, implementing, and automating infrastructure, CI/CD pipelines, and networking for AI and GPU computing environments. The engineer will troubleshoot complex issues, support R&D, and work with researchers and developers to optimize workflows and develop solutions. | — | 5 |
| Senior Software Advanced Development Engineer NVIDIA Networking Advanced Development Software team is developing new networking and distributed computing technologies for AI factories and data centers. The role involves designing and implementing solutions across various layers, from application to firmware, utilizing NVIDIA's hardware. Experience with CUDA programming and LLM serving frameworks is a plus. | Serve | 5 |
| Creative Director - APAC NVIDIA is seeking a Creative Director for their APAC region to lead an in-house creative studio. The role involves conceptualizing and executing innovative creative work across various mediums for product launches and brand visibility, managing creative teams, and ensuring brand consistency. Proficiency in design tools and AI design platforms is required. | — | 5 |
| Principal Software Engineer, Profiling Services This role focuses on designing and shipping a production-grade, low-overhead GPU profiling service for ML workloads. The engineer will lead architecture and implementation in C/C++ across system software, drivers, and CUDA, ensuring scalability and reliability. Key responsibilities include establishing profiling models that integrate with ML frameworks to provide actionable performance insights and technical leadership within the team. While the service supports ML workloads, the core craft is system software and performance engineering, not direct ML model development. | — | 5 |
| Senior Tools and Development Engineer NVIDIA is looking for a Senior Tools and Development Engineer to join their GPU SWQA team. The role involves designing and implementing automated tests using AI technologies for NVIDIA's device driver software and SDKs on Linux. The candidate will build tools and frameworks in Python to automate and optimize testing workflows, analyze results, identify defects, and drive test automation initiatives. Experience with AI tools for test automation and end-to-end QA workflows is required, along with strong programming skills in Python and knowledge of OS fundamentals and PC hardware. | Ship | 5 |
| Senior System Software Engineer, AI Data Platform Senior Software Engineer role focused on building and optimizing foundational infrastructure for NVIDIA's AI and high-performance computing innovations. The role involves designing, building, and optimizing scalable automation systems for the performance, tuning, and deployment of core software offerings, impacting AI models and complex applications across various environments. | Serve | 5 |
| Tools and Development Engineer NVIDIA is seeking a Software Tools Development Engineer to join their GPU SWQA team. The role involves designing and implementing automated tests using AI technologies for NVIDIA's device driver software and SDKs on Linux. Responsibilities include building Python tools/frameworks to automate and optimize testing workflows, driving test automation initiatives, identifying and debugging defects, and contributing to the development of applications and tools that accelerate development and test workflows. The ideal candidate will have 4+ years of programming experience in Python, experience with databases, strong OS fundamentals, and experience using AI tools for test automation. | Ship | 5 |
| Senior Product Marketing Manager - Data Processing Product Marketing Manager role at NVIDIA focused on data processing for data scientists and data engineers. The role involves leading positioning, messaging, launches, developing technical content, supporting go-to-market strategies, conducting competitive analysis, and engaging with the data science community. Requires 8+ years of experience in launching and scaling technical product adoption, knowledge of data science packages and ML frameworks, and strong communication skills. Familiarity with Python code and content marketing is beneficial. | — | 5 |
| Solutions Architect - OEM AI Factory Infrastructure This role focuses on supporting OEM partners in deploying NVIDIA AI Factory infrastructure, involving MEP, networking, DevOps, HPC/AI workloads, and cluster administration. The Solutions Architect will collaborate with teams, understand partner needs, develop proof-of-concept projects, and educate partners on NVIDIA technologies. | — | 5 |
| Solutions Architect, Infrastructure This role focuses on the infrastructure and deployment of NVIDIA's Data Center GPUs and networking platforms for large customers, bridging early platform readiness with cloud engineering and customer adoption. It involves hands-on infrastructure expertise, multi-functional leadership, and problem-solving across hardware, networking, and system software. | — | 5 |
| Senior Product Quality Engineer Senior Product Quality Engineer at NVIDIA, focusing on failure analysis and root cause resolution for system products. Requires strong analytical and problem-solving skills, with experience in PCB level hardware verification and debug. Knowledge of AI chips is a plus. | — | 5 |
| Senior Tools Development Engineer NVIDIA is seeking a Senior Tools Development Engineer to build data-driven tools to improve software quality and customer experience. The role involves designing and implementing tests for NVIDIA software products, building tools to accelerate execution workflows, and leveraging AI development tools for test automation. The engineer will develop automated end-to-end tests for NVIDIA device drivers and SDKs, debug issues, and collaborate with development teams. | — | 5 |
| Senior Tools Development Engineer This role is for a Senior Tools Development Engineer at NVIDIA, focusing on building data-driven tools and automation to improve software quality and accelerate the delivery of NVIDIA products. The engineer will leverage AI development tools for test plan creation, test case generation, and bug detection, and develop automated end-to-end tests for NVIDIA software and SDKs. The role requires strong programming skills in C#/Java/C++/Python and experience with OS fundamentals and PC hardware. | — | 5 |
| Senior Networking Software Architect This role focuses on defining the architecture and features for next-generation Data Processing Units (DPUs) and SmartNICs, involving collaboration with hardware architects, R&D teams, and customers. The responsibilities include defining the software stack, researching network protocols and technologies, and exploring various applications including Generative AI, storage, and cybersecurity. | — | 5 |
| Senior SWQA Test Development Engineer, SDET This role focuses on testing NVIDIA's enterprise AI offerings, including NIM/NeMo/BioNeMo. The engineer will design, implement, and maintain automated test cases and infrastructure, collaborate with development teams on issue resolution, and leverage AI capabilities to enhance the QA process. Experience with AI development tools for test automation and knowledge of LLMs/AI models are beneficial. | Ship | 5 |
| Software Engineer, CUDA-Q Libraries Software engineer to build the CUDA-Q platform for programming hybrid quantum-classical multi-processor systems, focusing on developing analysis libraries, implementing AI decoding algorithms, and building AI training infrastructure for QEC. | DataServe | 5 |
| Senior Power Methodology and Modeling Engineer This role focuses on energy modeling for NVIDIA's next-generation GPUs, CPUs, and Tegra SoCs. The engineer will develop and implement tools and methodologies for data generation, sanitization, and integration with performance tools to analyze energy usage in graphics and AI workloads. The role involves mining performance data, identifying bottlenecks, and experimenting with ML techniques for design analysis and power target setting. While the role uses ML techniques and analyzes AI workloads, its core craft is in power methodology and modeling for hardware design, not direct AI/ML model development. | — | 5 |
| Physical Design Engineer NVIDIA is seeking a Senior Physical Design Engineer to lead physical design and implementation of SOC devices for networking markets. The role involves all aspects of physical chip development from RTL to GDS, including synthesis, floorplan, power/clock distribution, place and route, timing closure, and verification. The engineer will also assist in design flow development and debugging, including the application of ML/AI solutions. | — | 5 |
| Developer Technology Engineer – AI NVIDIA Developer Technology Engineer focused on optimizing core parallel algorithms and data structures for GPUs, collaborating with application developers and internal NVIDIA teams to improve performance and developer efficiency. The role involves understanding developer problems and influencing next-generation architectures and software platforms. | Serve | 5 |
| Solutions Architect - Rack Scale AI Systems This role focuses on deploying and optimizing NVIDIA's Rack Scale AI Products within datacenter and cloud environments. It involves understanding product roadmaps, designing deployment strategies, collaborating with engineering teams, and ensuring the reliable delivery of AI hardware and software platforms. The role requires strong system engineering, Linux, and scripting skills, with an emphasis on data center architecture and automation. | — | 5 |
| Senior GPU Low Power Architect This role focuses on designing and optimizing low-power GPU and SOC architectures for NVIDIA's products, including those powering AI, Automotive, Graphics, and Mobile. The Senior GPU Low Power Architect will invent and innovate low power architectural/RTL solutions, drive features and roadmaps for efficiency improvements, and contribute to power and performance modeling for GPUs, CPUs, Switches, and platforms. The role requires MSEE/MSCE or PhD with specialization in Low Power Architectures or energy-efficient design techniques, and experience with industry tools like SystemVerilog RTL, UVM, UPF, and Python. | — | 5 |
| Senior Circuit Design Engineer NVIDIA is seeking a Senior Circuit Design Engineer to join their team. The role involves crafting and validating custom circuit IPs for NVIDIA's CPU, GPU, and Networking chips, focusing on improving power, performance, silicon correlation, and security. The engineer will architect innovative circuit solutions, develop workflows for chip design using AI and ML, and mentor junior team members. A strong understanding of CMOS devices, RC circuits, transistor-level design, and SPICE simulations is required. Experience with AI tools and handling large datasets is a significant advantage. | — | 5 |
| Datacenter Partner Enablement Engineer NVIDIA is seeking an Early Access Partner Enablement Engineer to work with cloud service providers and server development partners on AI and HPC datacenter designs. The role involves creating and deploying reference AI Super Computer designs, collaborating on product roadmaps, and providing technical guidance for server integration and manufacturing. This is a hands-on engineering role focused on large-scale AI platforms. | — | 5 |
| Chip Power Estimation Engineer NVIDIA is looking for an engineer to develop advanced power models for GPUs and SOCs, focusing on chip and board power estimation. This role involves understanding chip architecture, low power design, and process technology to estimate power consumption under various scenarios. The engineer will collaborate with multiple design teams and contribute to performance/watt improvement ideas for NVIDIA's products, which are increasingly used in AI applications. | — | 5 |
| Senior CUDA Test Development Software Engineer, SDET NVIDIA is seeking a Senior CUDA Test Development Software Engineer to ensure the quality of CUDA products, including drivers and libraries. The role involves designing and implementing functional and performance tests, automating tests, integrating them into infrastructure, triaging results, and developing tools to improve efficiency. Experience with AI development tools for test creation and automation is required. | — | 5 |
| Senior Technical Marketing Engineer - AI Physics NVIDIA is seeking a Senior Technical Marketing Engineer to create technical content and educate developers on AI Physics digital twins. The role involves collaborating with engineering and product teams, representing NVIDIA at events, and enabling the developer community through training materials and documentation. Requires 5+ years of experience in software development/research spanning computational sciences and AI/ML, with fluency in Python and experience with NVIDIA's CUDA-X Platform. | Ship | 5 |
| Architecture Energy Modeling Engineer NVIDIA is seeking an Architecture Energy Modeling Engineer to develop and deploy methodologies for energy-efficient GPU products. This role involves building energy models using ML and statistical techniques, analyzing power consumption of GPUs and AI workloads, and integrating these models into design and simulation platforms. The goal is to influence architectural and design improvements for energy efficiency. | Data | 5 |
| Senior Tools Development Engineer Senior Tools Development Engineer at NVIDIA, focusing on AI technologies for automating test cases for GPU device driver software and SDKs. The role involves designing and implementing automated tests, building tools in Python & C#, and optimizing testing workflows. Requires strong programming experience, OS fundamentals, and database knowledge. | Ship | 5 |
| Senior Datacenter GPU Power Architect NVIDIA is seeking a Senior Datacenter GPU Power Architect to design energy-efficient GPU and SOC architectures for AI, HPC, Automotive, and other products. The role involves developing power estimation models and tools, exploring energy efficiency at GPU and datacenter levels, setting power targets, and deploying machine learning techniques for power and performance modeling. The architect will also perform pre-silicon thermal analysis and model cutting-edge technologies, collaborating with cross-functional teams to influence the product roadmap. | Serve | 5 |
| Infrastructure Automation Engineer - Silicon Solution Group NVIDIA is seeking an Infrastructure Automation Engineer to drive post-silicon validation automation integration and workflow visualization. The role involves designing and implementing productivity improvements, collaborating with cross-functional teams, and maintaining large-scale on-premises infrastructures. Requires strong software development experience, C++, Python, Javascript, and hands-on AI/ML and data analysis experience. | — | 5 |
| Infrastructure Software Engineer, Deep Learning Libraries NVIDIA is seeking an Infrastructure Software Engineer to enable high-performing deep learning libraries like TensorRT and TensorRT-LLM. The role involves designing and developing scalable automation for build, test, integration, and release processes across diverse platforms, including autonomous vehicles and datacenters. The engineer will work with industry-standard tools like Kubernetes and Jenkins, and contribute to advancing these tools. | — | 5 |
| Distinguished Engineer, GPU Fleet Operations Automation This role focuses on automating the operations of NVIDIA's DGX Cloud GPU fleet, including lifecycle management, health monitoring, and remediation. It involves defining and driving technical strategy for infrastructure operations across various environments and ensuring high availability and operational excellence. | — | 5 |
| Senior Data Center System Architect NVIDIA is seeking a Datacenter System Architect to define and design products for AI, high performance computing, and other datacenter markets. The role involves driving architecture from chip to datacenter, analyzing performance, power, and cost, and collaborating with internal teams, customers, and suppliers. Requires 8+ years of experience in complex datacenter systems, deep understanding of hardware architecture, and experience with software/hardware integration. | — | 5 |