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 |
|---|---|---|
| Senior Quantum Algorithm Researcher NVIDIA is seeking a Senior Quantum Algorithm Researcher to lead technical collaborations and spearhead research in AI for quantum algorithms. The role involves driving innovation at the intersection of quantum computing and AI, contributing to NVIDIA's quantum products, and publishing impactful research. Requires a Ph.D. in a related field, 5+ years of experience in quantum algorithms, strong connections in the Singapore quantum ecosystem, and excellent programming skills. | Pretrain | 7 |
| Senior AI Networking System Architect NVIDIA is seeking a Senior AI Networking System Architect to define and develop the architecture for next-generation NVL systems that power large-scale high-performance computing clusters for AI research and various industries. The role involves end-to-end system architecture, research across algorithms, software, firmware, and hardware, and developing simulation models for performance testing. |
| Serve |
| 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 Libraries Engineer – AI and HPC Senior Libraries Engineer at NVIDIA focused on building and optimizing GPU/CPU accelerated data processing software libraries for AI, data analytics, computer vision, and scientific simulations. The role involves developing scalable library software, performance tuning, optimization, and providing technical leadership. | Serve | 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 |
| Senior System Software Engineer - AI Performance and Efficiency Tools Senior System Software Engineer role focused on developing and improving tools for AI workload performance and efficiency on GPU clusters, supporting AI researchers and SW/HW teams. Involves building profiling, debugging, and benchmarking tools, and partnering with hardware architects. | ServeData | 7 |
| Deep Learning Performance Software Engineer NVIDIA is seeking a Deep Learning Performance Software Engineer to develop GPU-accelerated deep learning software, focusing on optimizing deep learning kernels and end-to-end performance through tile-based GPU programming. The role requires strong C/C++ skills, GPU programming experience (CUDA or OpenCL), and performance modeling/optimization knowledge. | Serve | 7 |
| Senior VLSI CAD and AI Automation Engineer Senior Engineer to develop and integrate AI/ML solutions for VLSI design automation, focusing on improving workflows, deploying algorithms, and maintaining automation infrastructure. Requires strong Python, AI/ML framework experience, and knowledge of VLSI physical design and EDA tools. | Serve | 7 |
| Senior System Software Engineer - Computer Vision Algorithms and SDK Senior System Software Engineer focused on developing and optimizing computer vision, signal processing, and machine learning algorithms for specialized DSP hardware (PVA engine) and enhancing the associated SDK. The role involves working with internal and external customers to enable efficient algorithm development and optimization on the hardware. | Serve | 7 |
| Senior System Software Engineer - AI Data Platform - Inference Factory Optimization Senior Software Engineer focused on building and optimizing infrastructure for automating the deployment and performance tuning of NVIDIA's AI software offerings, impacting inference applications across various hardware. | Serve | 7 |
| System Software Engineer - Autonomous Vehicles System Software Engineer specializing in self-driving vehicle technology, responsible for integrating and maintaining end-to-end software for autonomous driving systems, including Sensing/Perception/Localization/Planning/Control, and optimizing vertical stack performance. | Ship | 7 |
| Senior Prediction Software Engineer - Autonomous Vehicles Senior Software Engineer role focused on developing and productizing autonomous driving features, specifically in prediction and planning. Requires C++ experience, understanding of physics and control systems, and experience with deep learning-based systems for autonomous vehicles. | Ship | 7 |
| Senior Software Advanced Developer Develop and prototype advancements in distributed training and inference using NVIDIA's Spectrum-X AI fabric, focusing on improving AI app-networking connections through communication refinement, congestion control, NIC firmware coding, and switch SDK features to enhance AI factory efficiency and large-scale AI system development, scaling, and speed. | ServePretrain | 7 |
| Senior DGX Cloud AI Infrastructure Software Engineer Senior Software Engineer role focused on building and integrating AI infrastructure for DGX Cloud, enabling developers to access GPU-optimized virtual machines. Responsibilities include crafting IaaS API integrations, developing a two-sided marketplace, and improving testing and observability for scalable, fault-tolerant solutions. | Serve | 7 |
| Director, Software Architecture NVIDIA is seeking a Director of Software Architecture to lead the development of AI data centers and networking technologies. The role involves identifying and evaluating new technologies, leading the development of new networking applications using data plane programming, engaging with customers, defining a strategic vision, and managing technical teams. Requires an M.Sc. or PhD., 12+ years of software architecture experience, 8+ years of management experience, and expertise in AI inference algorithms, frameworks, and systems. | Serve | 7 |
| SWQA Development Engineer Software QA Development Engineer at NVIDIA responsible for test planning, execution, and reporting, including writing scripts for test automation, designing and developing tools for the QA team, and developing integration tests. The role requires experience with AI development tools, model testing, and LLM benchmarking. | Eval Gate | 7 |
| Senior Software Engineer, Humanoid Robotics Senior Robotics Software Engineer to build the platform for Physical AI robots, enabling sim-first development, real-world deployment, and continuous learning. Role involves integrating NVIDIA robotics products and spearheading efforts in Shanghai. | ShipAgent | 7 |
| Software Architect, Advanced Development Research role focused on the intersection of Networking, Security, and Communications, with a specific emphasis on applying AI to these domains. The role involves technical leadership, architecture design, SDK development for new hardware, and implementing services. A key aspect is working with AI-powered networking machines. | Serve | 7 |
| DGX Cloud Performance Engineer NVIDIA is seeking Parallel and Distributed Systems engineers to drive performance analysis, optimization, and modeling for their DGX Cloud AI platform. The role involves developing benchmarks, analyzing performance bottlenecks, and collaborating with AI researchers to improve system performance and usability. Expertise in large-scale parallel systems, AI workloads, performance modeling, and AI frameworks is required. | Serve | 7 |
| Senior AI Security Architect Senior AI Security Architect role focused on defining and executing secure AI product development methodologies, performing threat modeling, and providing security recommendations for NVIDIA Networking AI products. The role involves mentoring teams on AI security best practices and ensuring secure usage of AI tools in the development process. | Ship | 7 |
| Senior Software Architect - Deep Learning and HPC Communications Senior Software Architect role at NVIDIA focusing on designing and implementing next-generation data center platforms and scalable communication software for AI and HPC workloads. The role involves investigating performance bottlenecks, exploring innovative HW/SW solutions, building proofs-of-concept, and using simulation to evaluate large GPU cluster performance. | Serve | 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 |
| System Administrator – Advanced Data Center and AI Infrastructure NVIDIA is seeking a System Administrator to deploy and maintain bare-metal and multi-node environments running NVIDIA networking, DGX, and advanced computing systems. The role focuses on firmware validation infrastructure, BMC management, regression lab automation, and ensuring the continuous availability of critical test platforms. The ideal candidate has deep Linux expertise, experience with infrastructure-as-code and monitoring at scale, and a proven background in automating system administration tasks for AI and HPC infrastructure. | — | 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 Automotive Customer Safety Engineer Senior Engineer supporting automotive partners in integrating NVIDIA DRIVE Software solutions, focusing on safety standards (ISO26262, ISO21448) and ADAS/AV product development. Requires deep insight into automotive safety and general knowledge of AI/LLMs. | — | 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 Compiler Engineer NVIDIA is seeking a Senior Compiler Engineer to design, develop, and improve the upstream LLVM Toolchain for NVIDIA's CPUs, which are critical for AI and HPC workloads. The role involves contributing new features and optimization techniques, working with open-source communities, and collaborating on next-generation CPU micro-architectures. | — | 5 |
| Senior HPC DevOps Engineer NVIDIA seeks a Senior HPC DevOps and Network Engineer to build future supercomputers and HPC clusters, focusing on AI and GPU computing advancements. The role involves designing, implementing, and maintaining large-scale clusters with state-of-the-art monitoring, IaC, CI/CD pipelines, and automation. Responsibilities include troubleshooting complex issues, leading technical resources, and supporting R&D for future improvements. Requires 5+ years of experience with HPC/AI technologies, programming/scripting, CI/CD tools, Linux/Windows, networking (InfiniBand, Ethernet), job schedulers (Slurm, Kubernetes), storage solutions, and virtualization. Cloud platform familiarity is a plus. | — | 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 |
| Incident Response Engineer-Facility Operations Center This role is for an Incident Response Engineer in NVIDIA's Facility Operations Center (FOC). The primary focus is on coordinating and communicating within datacenters regarding incidents, vendor support, and maintenance performance to ensure reliability and availability. The role involves developing reliability standards, analyzing failure data, and working with AI/ML teams and tools to predict future failures. It also includes coordinating disaster recovery, performing risk assessments, leading root cause analysis, and driving process improvements. While the role interacts with AI/ML teams and uses AI tools, its core function is datacenter operations and incident response, not building AI models. | — | 5 |
| Senior Software Engineer, Cloud Automation Senior Software Engineer for Cloud Automation at NVIDIA, focusing on DevOps infrastructure automation for the NVIDIA GPU Cloud. The role involves collaborating with configuration management and workflow tools, building infrastructure for deployment and monitoring, and applying agentic AI for data center operations at scale. Requires experience with scripting languages, cloud platforms, CI/CD, and container technologies. | Agent | 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 |
| Software QA Test Developer NVIDIA is seeking a Software QA Test and Tool Developer for their Automotive Platform team. The role involves designing, executing, and automating test cases for automotive platforms, architecting test automation frameworks, and developing test libraries. A key aspect is understanding and evaluating AI-native development tools, LLM failure modes, and building evaluation frameworks for AI-generated outputs, with experience in prompt engineering and LLM-based agents being a plus. | Agent | 5 |
| Senior DevOps Engineer NVIDIA is seeking a Senior DevOps Engineer to join their Software Infrastructure and Operations team. This role involves developing and maintaining Kubernetes-based environments, OSS CI/CD tools, and infrastructure services. The engineer will architect scaling operations, manage CI/CD tools, design automation, and work with data analytics and AI techniques to improve infrastructure. The position requires strong Kubernetes, Python/Golang, and CI/CD tool experience. | — | 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 |
| 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 |