NVIDIA
- HQ
- California, US
- Founded
- 1993
- Size
- 35,000+
- Website
- nvidia.com
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 Localization Engineer - Autonomous Vehicles Senior Localization Engineer for Autonomous Vehicles at NVIDIA, focusing on building robust map-enhanced autonomous driving solutions with ASIL safety requirements. The role involves localizing to map data for precise environmental modeling, ensuring algorithms perform across diverse data and conditions, and writing efficient C++ code using CUDA for GPGPU programming, with a focus on productizing software for automotive standards. | Agent | 7 |
| Senior AI Developer Technology Engineer, Financial Sector Senior AI Developer Technology Engineer focused on optimizing AI and HPC workloads for financial markets on NVIDIA's computing platforms. This role involves research, development, performance analysis, and collaboration with the developer community and internal teams to influence hardware and software design. | Serve |
| 7 |
| Neural Graphics Engineer NVIDIA is seeking a Neural Graphics Engineer to work on technologies at the intersection of AI and real-time rendering. The role involves implementing and optimizing neural graphics techniques, prototyping neural rendering and generative 3D approaches, and contributing to the graphics software stack. Experience with C++, Python, computer graphics, and machine learning is required, with a preference for hands-on experience in neural rendering or generative AI for 3D content. | ServeData | 7 |
| Platform Architecture Engineer, GeForce NOW This role focuses on architecting and optimizing cloud infrastructure for AI workloads, specifically for the GeForce NOW service. The engineer will perform deep performance and power analysis of GPU/CPU microarchitecture for AI inference, deploy and optimize AI/gaming kernels, and build models to guide platform decisions balancing performance, power, and cost. The role requires strong programming skills and experience with AI models and performance analysis methodologies. | Serve | 7 |
| Senior Applications Software Engineer, Planning and Control Senior Software Engineer role focused on shaping application architecture for autonomous vehicles, integrating and adapting NVIDIA solutions, and refining planning and control systems. Requires strong background in control theory, motion planning, deep learning, and C++/Python development. | Agent | 7 |
| Senior Deep Learning Kernel Software Performance Architect Senior Kernel Performance Architect for Deep Learning Software at NVIDIA, focusing on crafting and prototyping GPU-accelerated system architectures to optimize deep learning and data analytics workloads. Requires expertise in kernel performance, math libraries, GPU computing, and parallel programming. | Serve | 7 |
| Senior Robotics Systems Software Engineer - ROS Senior Software Engineer on the Robotics Team at NVIDIA, focusing on the NVIDIA Isaac ROS platform. The role involves designing and developing software frameworks for robots to perceive and interact with the world using learned policies, improving the ROS ecosystem, and debugging/optimizing ROS-based autonomy stacks. Experience with ROS, distributed systems, embedded software, C/C++, and deep learning applications for physical agents is required. | AgentData | 7 |
| Senior Research Scientist, Security and Privacy NVIDIA is seeking security and privacy researchers to develop secure, private, and safe AI systems. The role involves understanding vulnerabilities, developing hardware/software/algorithms for trustworthy AI, collaborating across teams, and publishing research. Requires a Ph.D. in a relevant field, expertise in security areas, and coding skills. | Post-train | 7 |
| Senior Architecture Energy Modeling Engineer NVIDIA is seeking a Senior Architecture Energy Modeling Engineer to research, develop, and deploy methodologies for energy-efficient products. This role involves building Machine Learning based power models for GPUs, CPUs, and SOCs, collaborating with various engineering teams, and integrating power models into simulation platforms to analyze and reduce power consumption. | Data | 7 |
| Director, Technical Program Management - Software Director of Technical Program Management to lead strategy and implementation across complex software projects, focusing on AI/ML domains. This role involves scaling a TPM team, promoting operational efficiency, and driving delivery through agentic workflows and automation, with a focus on both Physical AI and Generative AI. | — | 5 |
| Senior Systems Software Engineer, Data Center Platform Enablement NVIDIA is seeking a Senior Systems Software Engineer to work on the bring-up, integration, validation, and troubleshooting of compute tray platforms for GPU Racks. This role involves working with global teams on NVIDIA AI server systems, influencing hardware design, using simulation and emulation, debugging server prototypes, supporting manufacturing, and resolving issues. The role requires strong experience in server system and firmware architecture, low-level interfaces, C/C++, scripting, and debugging in embedded Linux. Experience with AI tools for design acceleration is mentioned as a plus. | — | 5 |
| Principal Graphics Developer Tools Engineer Principal Graphics Developer Tools Engineer role at NVIDIA, focusing on shaping the future of graphics development through innovative tools, workflows, and technologies. This hands-on technical leadership position involves defining strategy, prototyping new tools, collaborating with various NVIDIA teams (Research, GPU Architecture, Driver, SDK, Developer Technology), and engaging with external developers. The role emphasizes technical excellence, execution, influence, and collaboration to improve how developers build, debug, profile, and optimize graphics applications, with a specific mention of AI transforming software development. | — | 5 |
| Manager, EDA Tools and Relationships Manager for EDA tools and relationships, focusing on integrating and evaluating AI capabilities within circuit design workflows, leading a team, and managing vendor partnerships. | Agent | 5 |
| Senior Software Engineer, Infrastructure Development Senior Software Engineer role focused on developing infrastructure software and manufacturing test solutions for Datacenter and Enterprise products. The role involves building scalable internal tools, modern web-based platforms, and AI-enhanced workflows to improve engineering productivity, diagnostic development, test automation, and manufacturing operations. Key responsibilities include developing AI-assisted tools and workflows using LLMs, RAG, agents, and function calling to upgrade internal platforms and tools. | Agent | 5 |
| Senior Infrastructure Engineer – Bazel Remote Execution Senior Infrastructure Engineer role focused on building scalable cloud solutions for running millions of jobs and thousands of systems, with a background in AI/ML applications in infrastructure. The role involves working with Kubernetes, job scheduling, and agentic workflows for infrastructure. | — | 5 |
| Software Quality Assurance Engineer - 2026 New College Grad Software Quality Assurance Engineer role focused on testing and validating NVIDIA's Workstation and Virtualization products. The role involves reproducing customer-reported issues, performing root cause analysis, and verifying fixes. A key aspect is building AI-driven tools to improve workflow efficiency and bug reproduction. Experience with virtualization platforms, scripting (Python, C#, C++), and debugging tools is required. Familiarity with Generative AI platforms and LLMs is a plus. | — | 5 |
| Senior Storage Production Engineer - DGX Cloud NVIDIA is seeking a Senior Storage Production Engineer for their DGX Cloud service. This role focuses on designing, building, and maintaining large-scale, high-performance distributed storage systems that support AI/ML and HPC workloads. Responsibilities include ensuring reliability, scalability, optimizing data access, and automating storage operations using AI/ML-driven techniques. The engineer will work on monitoring, alerting, performance tuning, and incident response for storage infrastructure. | Serve | 5 |
| Senior Silicon Power and Thermal Controllers Engineer NVIDIA is seeking a Senior Silicon Power and Thermal Controllers Engineer to design, implement, and productize power-performance and thermal-control mechanisms for GPUs, CPUs, and SoCs. The role involves close collaboration with firmware, hardware, software, and design teams, focusing on system-level power optimizations and validation. The ideal candidate will have extensive experience in silicon bring-up, validation, DVFS, and performance analysis, with a strong understanding of digital design and architecture. While the role itself is not AI development, it emphasizes the deliberate use of AI tools to enhance debug and modeling cycles, and the company utilizes AI in its recruiting processes. | — | 5 |
| Senior Systems Software Engineer, Performance Architecture - Analytics and Data Intelligence Senior Systems Software Engineer focused on performance architecture for GPU-accelerated structured data processing, involving coordinated SQL and user-friendly interfaces across diverse CPU and GPU query engines. The role focuses on compiler and JIT-based execution techniques for cuDF and related analytics runtimes, improving performance, reliability, and workload optimization. | — | 5 |
| Principal CPU Software Architect NVIDIA is seeking a Principal CPU Software Architect to define next-generation CPUs and SoCs for AI applications, agentic AI, data centers, and HPC. This role involves cross-disciplinary collaboration to maximize SoC product potential and push the state of the art in engineering. | — | 5 |
| Senior Hardware Applications Engineer Senior Hardware Applications Engineer role at NVIDIA, focusing on customer enablement of enterprise datacenter products, particularly GPUs, in server applications. Responsibilities include creating technical collateral, understanding system design for HPC and AI workloads, reviewing customer designs, and performing hardware debug. Requires BS or higher in EE/CE/Systems Engineering, 5+ years of experience with enterprise datacenter products, familiarity with server architectures (x86/ARM), and experience with design tools and lab equipment. | — | 5 |
| Senior Thermal Solutions Design Engineer This role focuses on building and deploying thermal solutions for next-gen GPU/SOC products, incorporating AI-enabled approaches and tools to accelerate design iteration and validation. The engineer will collaborate with AI/tooling teams as a domain SME and apply data analytics/ML concepts to characterization data, but will not be building AI models or infrastructure. | — | 5 |
| Senior Software Development Engineer in Test - SDET Senior Software Engineer in Test (SDET) at NVIDIA to validate enterprise AI offerings like NIM, NeMo, and BioNeMo. Responsibilities include crafting and implementing automated test cases, collaborating with development teams on issue resolution, and investigating AI capabilities to enhance the QA process. Requires 5+ years of experience, strong Python and shell scripting, Linux proficiency, and experience with AI development tools for testing. | Ship | 5 |
| SoC Verification Lead Seeking an outstanding SoC Verification Engineer to serve as a Person-in-Charge (PIC) within the SoC Verification (SoCV) team, verifying sophisticated AI-enabled SoC designs for data center AI infrastructure, AI client computing platforms, autonomous vehicles, and robotics. This role involves owning the SoC-level verification plan, schedule, and tracking, collaborating with cross-functional teams, driving reviews, leading risk identification, and defining/evolving verification flows. Requires 15+ years of ASIC/SoC functional verification experience, deep understanding of SoC-level verification challenges, proficiency in SystemVerilog and UVM, and experience with verification infrastructure. | — | 5 |
| Cloud Platform Software Engineer – Platform APIs Software Engineer role focused on building and extending Kubernetes-like APIs and Go-based controllers for NVIDIA's DGX Cloud, powering GPU-accelerated infrastructure for AI teams. The role involves end-to-end ownership of multi-cloud GPU clusters, collaborating with various engineering teams, and automating software validation. | — | 5 |
| Senior Systems Safety Engineer - Autonomous Vehicles Senior Systems Safety Engineer for Autonomous Vehicles at NVIDIA, focusing on applying V-Model methodologies to AI, computer vision, and other development areas to ensure the safety of AI-powered autonomous driving systems. The role involves deriving and validating requirements, contributing to architecture, and guiding teams in system safety engineering. | — | 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 |
| 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 |
| 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 |
| 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 |
| Technical Project Manager - Finance NVIDIA's Finance AI & Data Science team is seeking a Technical Project Manager to drive complex business-facing projects to completion, ensuring they meet business and technical requirements. The role involves understanding finance processes, managing project communications, tracking requirements, and engaging with AI/ML, data engineering, and automation elements. | — | 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 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 |
| Technical Marketing Engineer - Physical AI for Healthcare Technical Marketing Engineer for NVIDIA's Physical AI platform in healthcare, focusing on developer enablement, content creation, and community building for surgical robotics and medical devices. | — | 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 |
| 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 |
| 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 |
| 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 |