NVIDIA
- HQ
- California, US
- Founded
- 1993
- Size
- 35,000+
- Website
- nvidia.com
NVIDIA currently has 496 active AI-related job listings. The majority of these roles, 52%, are focused on serving infrastructure, with agents representing another significant segment at 23%. Engineering is the dominant function, with 441 positions. The United States leads hiring geographies with 287 roles, followed by China with 64. Frequent tech tags include model_serving, inference_infra, and agent_orchestration, suggesting a focus on deployment and management of AI models. Over the last 30 days, NVIDIA posted 214 new AI roles, a 27% decrease compared to the previous 30-day period.
Currently tracking 440 active AI roles, down 50% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$575k (avg $262k).
NVIDIA currently has 487 active AI-related roles in our index. The most common open titles are: Deep Learning Performance Architect (4), Senior Deep Learning Performance Architect (4), AI Research Scientist (3), Developer Technology Engineer - AI (3), Manager, Deep Learning Algorithms (3). Most positions are in Engineering and Research.
NVIDIA's active AI hiring is concentrated in: serving infrastructure (54%), agents (21%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
NVIDIA is hiring AI talent in: United States (286 roles), China (59 roles), Israel (50 roles), Germany (21 roles).
Job postings at NVIDIA most frequently reference: model serving, inference infra, agent orchestration, llm observability, multimodal.
In the past 30 days, NVIDIA has posted 110 new AI-related roles. That is a -50% change versus the prior 30 days (218 → 110).
| Title | Stage | AI score |
|---|---|---|
| CPU Performance Developer Technology Engineer NVIDIA is seeking a CPU Optimization Engineer to research, design, and implement performance optimization strategies for workloads including AI data preprocessing, scientific, and HPC applications on NVIDIA Grace/Vera CPUs. The role involves collaborating with developers, profiling, analyzing, and optimizing CPU performance, contributing to open-source frameworks, and influencing future CPU and software architecture. | — | 5 |
| Security and Safety Circuit Engineer This role focuses on developing and validating silicon security and safety circuits for NVIDIA's products. While the core function is hardware engineering, the role explicitly seeks experience in applying AI-driven methodologies and AI-assisted workflows to semiconductor co-design and validation problems, indicating an exploration of AI's application in this domain. | — | 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 application performance and developer efficiency. Requires strong programming skills in C/C++/Python, parallel programming experience (CUDA), and mathematical fundamentals. |
| Serve |
| 5 |
| Senior Site Reliability Engineer Senior Site Reliability Engineer to manage NVIDIA's on-prem infrastructure, ensuring uptime, reliability, and readiness of engineering cloud services. The role involves deploying and managing applications on Kubernetes, implementing monitoring and alerting, capacity planning, and driving automation. A key aspect is leveraging AI techniques to analyze machine and job data for operational insights. | — | 5 |
| Data Center Engineer, HPC and AI NVIDIA is seeking an HPC and AI Data Center Engineer to build and manage complex data center infrastructure for supercomputers and HPC/AI clusters. The role involves planning, installation, operation, and troubleshooting of hardware, software, and networking components to support research and development activities in AI and GPU computing. | — | 5 |
| Senior Cybersecurity Engineer – Identity Governance Senior Cybersecurity Engineer focused on Identity Governance, leveraging AI tools to modernize security systems and protect NVIDIA's global infrastructure, including AI systems and agents. The role involves building and implementing Identity Governance solutions, driving technical strategy, and enhancing security posture through AI-driven automation. | — | 5 |
| Director, Design Technology and AI - Chip Design Lead a Design Technology team focused on driving AI-powered engineering productivity in chip design, developing and operating systems, tools, and automation solutions to improve chip design quality and efficiency. | Ship | 5 |
| Senior Graphics System Software Engineer Senior Graphics System Software Engineer at NVIDIA, focusing on developing graphics and deep learning technologies for real-time AI in gaming and creation. The role involves implementing new APIs and systems across GPU generations and OS, working with game studios, and supporting the design and validation of next-gen graphics processors. | — | 5 |
| Senior Hardware Applications Engineer, Data Center NVIDIA is seeking a Senior Hardware Applications Engineer to support enterprise datacenter products in workstation and server applications. The role involves system design reviews, resolving integration issues, understanding system design for HPC and AI workloads, customer support, and creating technical collateral. Requires BS/MS/PhD in EE/CE/SE or equivalent, 3+ years of experience in enterprise data center products, strong analytical skills, understanding of x86/ARM server architecture, and lab tool experience. | — | 5 |
| Senior System Software Engineer - DevOps and Infrastructure Automation Senior System Software Engineer on NVIDIA's AI Inference Operations Team, focusing on DevOps and Infrastructure Automation. The role involves designing, building, and operating the infrastructure backbone for AI inference products, managing Kubernetes deployments, architecting CI/CD pipelines, building observability, managing cloud and on-prem environments with IaC, owning the security posture, and collaborating with other engineering teams. | — | 5 |
| Tegra Manufacturing Test Engineer NVIDIA is seeking a Manufacturing Test Engineer to automate product definitions, data collection, test case execution, and results analysis. The role involves driving Tegra diagnosis, analyzing test issues, qualifying equipment, and developing AI for production automation. The engineer will also assist with debug tools and follow up on test setup issues. | Serve | 5 |
| Director, Solution Engineering for NVIDIA Experience Seeking a Director of Solution Engineering to support NVIDIA's AI server products for customers (CSPs, enterprises, OEMs). The role involves defining priorities, driving execution, collaborating with customers on high-performance solutions, and establishing planning/reporting frameworks. Responsibilities include direct customer support, RMA operations, developing metrics, mentoring, and applying agentic AI skills to improve team processes. | — | 5 |
| Senior Systems Software Engineer, Windows and Linux Enablement - DGX Station NVIDIA is seeking a Senior Systems Software Engineer to own the full-stack OS enablement for their DGX Station personal AI supercomputer, focusing on Windows and Linux. The role involves firmware, driver integration, OS bring-up, validation, and ensuring AI applications run seamlessly on the platform, with a primary focus on Windows WHQL certification and Linux enablement. | — | 5 |
| System Performance Analysis Engineer, Silicon Co-Design Group This role focuses on system performance analysis for NVIDIA's GPUs and SOCs, involving large-scale benchmarking, designing automation tools, optimizing HW/SW performance and power management, and researching new architectural features. A key aspect is utilizing AI-driven techniques and machine learning algorithms to enhance performance prediction, power management strategies, and automate data collection/analysis. | — | 5 |
| Software R&D Engineer, VLSI Physical Design - New College Grad 2026 Software R&D Engineer role focused on developing internal EDA tools for VLSI physical design by fusing advances in parallel computing, machine learning, and specialized algorithms. The role involves inventing new optimization engines and improving existing algorithms in C++ to enhance chip frequency and minimize power consumption, with a focus on delivering solutions that are realized in NVIDIA's AI hardware. | — | 5 |
| Senior Software Engineer - XR Physical AI Partners Engagement Senior Software Engineer focused on XR and Robotics, developing data collection and teleoperation systems using XR devices. The role involves applying system and AI knowledge to scale development efforts, supporting partner integrations, and optimizing performance for NVIDIA's XR and Robotics platforms. Requires proficiency in C++, Python, and agentic development. | Agent | 5 |
| Senior Software Engineer - NVIDIA Warp Senior Software Engineer role focused on deploying NVIDIA Warp-based robotics and simulation components onto embedded platforms like Jetson. Responsibilities include building deployment workflows, optimizing on-device performance, debugging complex issues, integrating components into robotics applications, and developing system-level testing infrastructure. Requires strong C++, Python, and embedded systems experience, with a focus on robotics and real-time systems. | — | 5 |
| Senior Director, Enterprise Networking Senior Director, Enterprise Networking to lead the strategy, architecture, deployment, and operations of NVIDIA's global enterprise network. This role will drive Agentic AI-based transformation of the enterprise network, focusing on SRE principles, observability, automation, and continuous improvement. The role involves setting technical vision, leading design and deployment of wired/wireless networks, campus edge, SD-WAN/WAN, HPC data center networking, and cloud connectivity. It also includes overseeing network security, establishing an agentic, data-driven operating model, and building/mentoring a global engineering organization. | — | 5 |
| Senior Firmware Engineer Senior Firmware Engineer to join the NVIDIA System Control Firmware team, focusing on developing, implementing, and securing essential software for Tegra SoCs used in autonomous vehicles, AI edge devices, data centers, and robotics. The role involves core firmware development, active program support, project leadership, process improvement, and global collaboration. | — | 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 |
| Senior System Software Engineer - Windows DevOps and Test Labs NVIDIA is seeking a Senior System Software Engineer to build and maintain infrastructure for deploying AI applications and models on Windows. The role involves developing and sustaining infrastructure for AI workloads, scoping requirements for deploying AI applications, managing AI model repositories, analyzing data for insights, and collaborating with developers to debug issues. The engineer will also build CI/CD workflows and understand existing infrastructure. | Serve | 5 |
| Senior DFX Power Methodology Engineer This role focuses on Design-for-X (DFX) for power, thermal, and voltage noise methodology in semiconductor chip design, specifically for datacenter GPUs. It involves innovating low power and thermal solutions for manufacturing tests, analyzing post-silicon data for power, and developing/deploying DFT methodologies using Applied ML & Gen AI solutions. The role also includes mentoring junior engineers and requires strong programming skills for AI coding harnesses. | Serve | 5 |
| Simulation Engineer, Industrial Physics and Robotics NVIDIA is seeking a senior technical leader to enhance their engineering simulation stack for robotics, automation, and industrial digital twins. The role involves designing and developing physically based simulation systems, integrating them with robotics workflows, and scaling advanced simulation algorithms on GPUs. The ideal candidate will have a strong background in simulation technology used for real-world system decisions, experience in multibody dynamics, and validation against physical systems, with an interest in applying AI-assisted and agentic workflows. | ShipServe | 5 |
| Senior Power and Performance Engineer This role focuses on optimizing power and performance for NVIDIA's datacenter and client products by architecting and integrating system-level features and policies. While not directly building AI models, the role heavily leverages AI/ML techniques for performance prediction, power management, data analysis, and automation, indicating an AI-adjacent function within an enterprise AI domain. | — | 5 |
| Senior Software Engineer, CUTLASS Platform Develop core components of the CUTLASS platform including Tensor Core MMAs, copies, synchronization barriers, schedulers, and other GPU hardware features in CUDA C++ and CUTLASS Python DSL. Contribute to the advancement of the MLIR-based backend compiler stack for the CUTLASS Python DSL by designing dialects and associated compiler passes. Author example kernels utilizing CUTLASS abstractions to showcase the use of novel GPU hardware features that are crucial for achieving high performance. Collaborate with GPU architecture, CUDA, and NVVM/PTX compiler teams to provide feedback on programming models and to assess the performance of future GPU hardware features. | — | 5 |
| Principal Solutions Architect – Semiconductor Test This role focuses on defining and leading the technical strategy for semiconductor test, including modernizing test infrastructure and embedding data-driven intelligence. A key aspect is driving the adoption of AI/ML techniques for yield learning, outlier detection, predictive binning, and test time optimization within the semiconductor manufacturing and product engineering domains. The role requires extensive experience in semiconductor test engineering and a strong background in DFT architectures, with a preference for applying ML/AI to yield analysis. | Data | 5 |
| Verification Engineer NVIDIA is seeking a Verification Engineer to work on ARM architecture-based CPUs for AI execution and the Agentic AI hardware stack. The role involves verification of CPU subsystems and SoCs, developing test plans, building verification environments, and debugging complex issues. A key aspect is analyzing and improving verification strategies by incorporating AI accelerated workflows. | — | 5 |
| Colossus Cloud Platform Datacenter Engineer NVIDIA is seeking a Principal Developer Operations Lead to drive global scale expansion of their AI and GPU infrastructure. This role focuses on operational leadership, infrastructure coordination, and strategic capacity planning, ensuring seamless delivery across engineering, facilities, and operations teams. The position requires extensive experience in infrastructure operations and a strong understanding of data center, AI infrastructure, and GPU deployment lifecycles. | — | 5 |
| Senior Software Development Engineer in Test Senior Software Development Engineer in Test at NVIDIA, focusing on building and maintaining Python-based automation frameworks for NVIDIA App. The role involves using AI development tools to accelerate test creation and implementation, and contributing to manual test planning and execution. Requires strong Python skills, quality focus, and understanding of complex software/hardware interactions. | — | 5 |
| Senior Power and Performance Architect NVIDIA is seeking a Senior Power and Performance Architect to optimize network systems for AI clusters. The role involves developing and validating power and performance optimization techniques for network fabrics, components, and systems, collaborating with cross-functional teams including AI researchers. Requires experience in network architecture, design, performance analysis, and familiarity with AI/ML workload network demands. | — | 5 |
| Compute Performance Developer Technology Engineer Software developer or computer scientist to join Compute Developer Technology team focusing on research and development of techniques to accelerate leading applications in scientific computing, computational engineering, data analytics, and artificial intelligence. Responsibilities include in-depth analysis and optimization for performance on CPU, GPU, and network architectures, guiding key application developers, developing reference codes or libraries, and creating/optimizing core parallel algorithms and data structures using the NVIDIA platform. The role also involves influencing next-generation architectures and software stack design. | Serve | 5 |
| GPU Memory System Architect NVIDIA is seeking a GPU Memory System Architect in Bangalore, India, to design and optimize memory systems for next-generation GPUs supporting AI and accelerated computing applications. The role involves developing performance models, analyzing memory performance, ensuring hardware design meets requirements, and collaborating with cross-functional teams. Leadership and mentoring are also expected. | — | 5 |
| System Speed and Reliability Co-Design Engineer NVIDIA is seeking a System Speed and Reliability Co-Design Engineer to join their SCG team. This role involves co-designing system-level speed features, building validation and automation infrastructure, and debugging complex silicon issues. The engineer will collaborate cross-functionally, define system specifications, provide system requirements, and develop validation techniques. A key aspect of the role is designing and implementing automation tools for system speed modeling, applying AI and LLM-assisted workflows to improve characterization and debug cycles. The position requires experience with silicon bring-up, PPA analysis, and scripting, with a demonstrated use of AI/LLM tools in an engineering workflow. | — | 5 |
| Technical Marketing Engineer NVIDIA is seeking a Technical Marketing Engineer to build demos, develop media pipelines, and evangelize AI for live media. The role involves architecting and building software demos, developing end-to-end media pipelines using NVIDIA's stack, and traveling to industry tradeshows for technical evangelism. The candidate will also provide feedback to product management and collaborate with engineering teams. | Serve | 5 |
| Power Integrity Co-Design Engineer NVIDIA is seeking a Power Integrity Co-Design Engineer to architect and deliver di/dt mitigation across silicon, package, board, and platform. This role involves defining product-level voltage noise targets, architecting mitigation strategies, and leading codesign tradeoffs. The engineer will also build and lead Sim-to-Si correlation methodology, model next-gen noise features, and lead bug resolution during bringup. A key aspect is applying AI techniques to accelerate power integrity work, requiring strong engineering judgment to balance AI acceleration with rigorous manual validation. | — | 5 |
| Senior System Software Engineer, NvSci Senior System Software Engineer to build and implement next-generation NvSci software for seamless cross-platform functionality and integration with hardware acceleration libraries and frameworks. The role involves optimizing performance in resource-constrained environments, leading end-to-end feature development with safety standards, and researching/integrating sophisticated software engineering practices and generative AI technologies. | — | 5 |
| Senior Software Development Engineer in Test - SDET Senior Software Development Engineer in Test (SDET) for NVIDIA's Enterprise SWQA team, focusing on automation development, test and validation infrastructure, and utilizing AI tools to enhance testing capabilities for chip validation. | — | 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 improvements. Requires deep knowledge of networking protocols, distributed systems, and low-level software expertise. | — | 5 |
| Senior Software Engineer, DGX Cloud Production Engineering Senior Software Engineer role focused on building and operating large-scale GPU infrastructure for AI workloads using Kubernetes. Responsibilities include developing automation, tooling, and operational systems for cluster lifecycle management, reliability, and scalability. Requires strong programming skills, experience with Linux, Kubernetes, and distributed systems. | — | 5 |
| Senior Revenue Data Analyst - Financial Reporting Senior Revenue Data Analyst role at NVIDIA, focusing on financial reporting support, data governance, and systems optimization. The role involves analyzing large datasets, designing data processing solutions in Python, and building reporting processes using SQL and AI tools. A key responsibility is developing a contextual AI agent to automate reconciliation and consistency checks for financial data. | — | 5 |
| Senior ASIC Front End Infrastructure Engineer NVIDIA is seeking experienced ASIC Infrastructure engineers to build and maintain the tooling and environment for GPU design. The role involves deploying AI toolsets, using ML/DL/AI for automation, improving build flows, managing CI systems, and forecasting compute resources. The engineer will focus on infrastructure improvement to enable hardware designers, with an emphasis on automation, scale, and performance. | — | 5 |
| Principal Performance and Manufacturing Architect This role focuses on architecting and validating performance and manufacturing processes for silicon products, with a secondary emphasis on applying AI to production engineering workflows. The primary goal is to ensure the connection between design intent and manufacturing reality, using first-principles models and rigorous validation to improve product yield and reliability at scale. While AI tools are mentioned as a way to stand out, the core of the role is in traditional silicon manufacturing and performance architecture. | — | 5 |
| Senior Data Center Connectivity Engineer This role focuses on the physical infrastructure and connectivity for large-scale AI data centers, translating network designs into physical builds and optimizing cabling, pathways, and rack layouts for AI deployments. It involves co-designing with power, cooling, and software teams, and selecting hardware for AI training and inference clusters. | — | 5 |
| Senior Director, System Software Engineering - DGX Cloud Senior Director of System Software Engineering to lead strategy and execution for capacity management in DGX Cloud, building the capacity foundation for NVIDIA's internal AI research clusters. This role will shape the roadmap for scalable system software that automates GPU management at scale, drive execution across teams and functions, and partner closely with architecture, security, product, and developer platform leaders to deliver reliable, high-performance software that powers the next generation of accelerated computing. | — | 5 |
| Systems Quality and Reliability Engineer - LPU This role focuses on systems quality and reliability engineering for NVIDIA's AI/ML products, involving RMA and FA debug, root-cause analysis, trend identification, and quality alert management. The engineer will oversee hardware quality performance, manage operational performance of FA at CMs, and oversee the setup of new products into Failure Analysis operations. While the role supports AI/ML products, the core function is in hardware quality and reliability, not direct AI/ML model development or deployment. | — | 5 |
| Senior SOC Design Engineer Senior SOC Design Engineer role focused on building complex GPU and SoC products, improving automation, quality, and scalability of design workflows. The role involves SoC integration, automation development, and applying AI thoughtfully to enhance engineering productivity. | — | 5 |
| Senior Software Engineer - NVLink Rack Scale Stability and Reliability Senior Software Engineer focused on the stability and reliability of NVLink Rack-Scale Systems, which are critical for large-scale AI infrastructure. The role involves platform bringup, software validation, developing diagnostics and automation, leading reliability validation, and triaging complex issues across software, firmware, networking, and platform layers. Experience with large-scale AI systems and data center infrastructure is required. | — | 5 |
| Senior CPU Performance Architect Senior CPU Performance Architect role at NVIDIA, focusing on optimizing CPU performance for AI/DL, HPC, CSP, gaming, VR, and autonomous vehicles. Responsibilities include studying workloads, developing visualization and analysis tools, and identifying performance bottlenecks on complex systems. Requires 12+ years of experience, BS/MS in relevant fields, and familiarity with data visualization, Python, compiler concepts, and CPU microarchitecture. | — | 5 |
| Senior GPU Memory Architect NVIDIA is seeking a Senior GPU Memory Architect to optimize performance, area, complexity, and power on leading-edge silicon processes for GPU memory systems. The role involves developing architecture and micro-architecture, performance simulation, creating models, analyzing benchmarks, and defining architectural specifications. | — | 5 |
| Senior System Software Engineer - Autonomous Vehicles Senior Software Engineer for NVIDIA's Autonomous Vehicles division, focusing on the software foundation for AI-powered ADAS and safety features. The role involves adapting NVIDIA Drive software, triaging and diagnosing complex issues in safety-critical systems, collaborating with teams to find root causes and implement solutions, supporting function bring-up, assessing functional performance, debugging functions, ensuring end-to-end traceability, and coordinating fixes across international teams. Requires strong background in ADAS development and triage, proficiency in Linux/QNX, understanding of ADAS/AD functions, and systematic issue isolation skills. Experience with C++, Python, sensor-based automotive software, ADAS feature validation, SoC architectures, CUDA, TensorRT, GPU computing, and performance bottleneck identification are advantageous. | — | 5 |