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).
Currently tracking 440 active AI roles, down 50% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$575k (avg $262k).
| Title | Stage | AI score |
|---|---|---|
| Senior HPC Cluster Engineer NVIDIA is seeking a Senior HPC Cluster Engineer to design, deploy, and operate GPU Compute Clusters for EDA and HPC workloads. The role involves developing automation solutions, improving infrastructure, providing technical leadership, and supporting researchers with performance analysis and optimization. | — | 5 |
| Senior Software Engineer - HPC Senior Software Engineer focused on improving HPC infrastructure for AI applications, involving distributed systems, cloud operations, and reliability. | — | 5 |
| Principal System Software Engineer - Data Center MODS NVIDIA is seeking a Principal System Software Engineer to architect and scale next-generation diagnostic systems for Cloud Service Providers (CSPs), focusing on AI accelerator products. The role involves defining technical roadmaps, leading multi-functional development, and deploying robust diagnostic frameworks. Expertise in distributed systems, hardware/software interfaces, C++, Python, and system software is required. |
| — |
| 5 |
| Principal SoC Architect - Hardware NVIDIA is seeking a Principal Hardware SoC Architect to define next-generation SoCs for AI, automotive, and HPC applications. This role involves end-to-end hardware architecture lifecycle ownership, co-design with software teams, performance modeling, specification authoring, and post-silicon support. The ideal candidate has extensive SoC architecture experience and a strong understanding of various system components and technologies. | — | 5 |
| Principal Software Engineer, AI Networking Principal Software Engineer to lead technical strategy for AI networking systems, focusing on customer engagements, product development, and architecture for NVIDIA's networking products like BlueField and ConnectX. Responsibilities include deep technical engagements, driving improvements, and translating customer needs into product features. | — | 5 |
| Senior AI and HPC Observability Engineer NVIDIA is seeking a Senior AI and HPC Observability Engineer to design and scale observability platforms and telemetry pipelines for AI/ML systems. The role involves building high-performance backend services, developing OpenTelemetry components, optimizing metrics pipelines, and ensuring platform reliability in distributed environments, with a focus on AI and HPC workloads. | Serve | 5 |
| Orbital Datacenter System Architect NVIDIA is seeking an Orbital Datacenter System Architect to define and build products for AI in orbit, driving architecture from chip to satellite and connectivity, and collaborating with internal teams, customers, and partners. | — | 5 |
| Senior System Software Engineer - Data Platform Observability Senior System Software Engineer to lead the evolution of NVIDIA's next-generation Data & Observability Platform, serving AI, HW, and SW engineering teams. The role involves architecting high-performance ingestion pipelines, building policy enforcement systems, developing a unified user interface and APIs, optimizing storage, and driving platform automation. | — | 5 |
| Senior Site Reliability Engineer - HPC Senior Site Reliability Engineer for NVIDIA's Compute Farm team, focusing on building and operating a global services platform for HPC and AI workloads. The role involves end-to-end SRE solutions, Infrastructure as Code, multi-cloud environments, and ensuring high availability and quality of service for internal customers. Requires strong experience in supporting large-scale HPC clusters, CI/CD, IaC, and operational excellence. | — | 5 |
| Distinguished Resiliency and Safety Architect, GPU Diagnostics The role focuses on designing, developing, and maintaining diagnostic software for NVIDIA GPUs and SoCs, specifically for resiliency in datacenters and functional safety in autonomous vehicles and robots. It involves identifying hardware defects, addressing coverage gaps, studying failure mechanisms, and ensuring compliance with safety standards like ISO 26262. The position requires deep understanding of hardware/software boundaries, high-performance computing systems, and proficiency in C/C++, CUDA, and Python. | — | 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 |
| 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 |
| 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 |
| 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 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 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 |
| 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 |
| 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 |
| 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 |
| Principal Data Platform Architect This role is for a Principal Data Platform Architect at NVIDIA, focusing on defining and implementing a vision for distributed data platform and observability systems for large-scale AI and HPC clusters. The architect will design systems for data collection, aggregation, storage, retrieval, and visualization to enhance the efficiency and performance of AI/HPC workloads, and lead teams in developing and deploying observability solutions. | — | 5 |
| Senior System Architect, GPU NVIDIA is seeking a Senior System Architect to define future aspects of their GPU architecture, focusing on AI and accelerated computing. The role involves cross-disciplinary collaboration with software, ASIC design, and other teams to optimize scalability, performance, power efficiency, and area. Responsibilities include developing architecture innovations, benchmarking configurations, enhancing analysis infrastructure, implementing performance models, and documenting specifications. | — | 5 |
| Senior Deep Learning Frameworks Sustaining Engineer Senior Deep Learning Frameworks Sustaining Engineer at NVIDIA. Responsibilities include back-porting changes, managing open source dependencies, and fixing bugs for enterprise products like TensorFlow, PyTorch, and TensorRT. Focus on ensuring stable dependencies and addressing security vulnerabilities for NVIDIA AI Enterprise. | Serve | 5 |
| Senior Technical Marketing Engineer - Data Center Scale Out This role focuses on the technical marketing and solutions architecture for NVIDIA's AI Factory infrastructure, specifically emphasizing scale-out architectures for AI training and inference. The engineer will promote NVIDIA's networking solutions (Ethernet, InfiniBand) and SuperPOD designs to large customers, demonstrating performance, power efficiency, and TCO. | — | 5 |
| Senior Technical Marketing Engineer - GPU and System Architecture Senior Technical Marketing Engineer at NVIDIA focused on GPU and system architecture for AI inference and training. The role involves creating technical content, engaging with customers, and analyzing market trends to showcase NVIDIA's AI infrastructure solutions. | — | 5 |
| Senior Applied Power Architect - GPU NVIDIA is seeking a Senior Applied Power Architect to design and optimize power efficiency for next-generation GPUs, focusing on AI architectures. The role involves inventing methodologies, driving power management initiatives, analyzing electrical/thermal constraints, and collaborating with cross-functional teams. Requires MSEE/MSCE or PhD with specialization in low-power-processor architectures and 6+ years of experience. | — | 5 |
| Networking Architect NVIDIA is seeking a Networking Architect to research and develop next-generation networking solutions for AI-accelerated data centers. This role involves working across various layers, from ASIC design to algorithms and systems, and collaborating with internal teams, partners, and standards bodies. | — | 5 |
| Datacenter GPU Power Architect NVIDIA is seeking a Datacenter GPU Power Architect to contribute to power estimation models and tools for GPU products and systems. The role involves early architecture exploration, performance vs power analysis, and deploying machine learning techniques to develop power and performance models. Understanding GenAI/HPC workload characteristics at datacenter scale is crucial for driving new hardware/software features for Perf@Watt improvements. | — | 5 |
| Senior Architect, Data Center Modeling This role focuses on designing and developing models for next-generation GPU-accelerated datacenters, specifically in cost and power modeling. It involves guiding software architecture, implementing best practices, and contributing to a critical codebase. The role requires strong Python programming, systems architecture, and modeling experience, with a preference for advanced degrees and experience in accelerated server architecture or parallel computing. | — | 5 |
| Senior Software Engineer, NCCL Senior Software Engineer to design, implement, and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters. This role involves system software design for GPU interactions and creating proof-of-concepts for new designs. | — | 2 |
| Senior HPC and Quantum Systems Engineer NVIDIA is seeking a Senior HPC and Quantum Systems Engineer to architect, deploy, and operate a hybrid computing platform combining GPU clusters with quantum processors. This role focuses on systems engineering for quantum computing integration with classical systems, managing reliability, performance, and lifecycle of the environment, and collaborating with partners and researchers to enable hybrid workloads. | — | 1 |
| Senior Manager, Engineering - Data Center Firmware Senior Engineering Manager to lead a large firmware engineering organization delivering end-to-end manageability firmware for NVIDIA's next generation Data Center Compute Systems. This role owns HGX product line and OpenBMC-based management firmware and MCU firmware components in data center platforms, including architecture, execution, quality, reliability, telemetry, and customer readiness. | — | 0 |
| Senior Mechanical Product Design Engineer NVIDIA is seeking a Senior Mechanical Product Design Engineer to develop next-generation electronic products across various business segments. The role involves defining and developing groundbreaking products from concept to production, including mechanical architecture, structures, displays, acoustics, battery, antenna, and thermal systems. Responsibilities include preparing design concepts, researching new technologies and materials, and innovating with Industrial Design. | — | 0 |
| Senior System Software Engineer - AV Platform Senior System Software Engineer to integrate and productize NVIDIA's autonomous vehicle platform software, collaborating with cross-functional teams and customers to ensure compliance and meet production release timelines. | — | 0 |
| Senior Formal Verification Engineer Senior Formal Verification Engineer at NVIDIA to verify GPU micro-architecture using formal verification tools. Responsibilities include defining scope, ensuring correctness, employing sophisticated formal techniques, and working with cross-functional teams. Requires BS/MS/PhD with 5+ years of experience, understanding of GPU/CPU architectures, Verilog/System Verilog, formal tools, abstraction techniques, scripting (TCL, Perl, Python), and strong analytical and communication skills. | — | 0 |
| ATE Test Development Engineer NVIDIA is seeking an ATE Test Development Engineer to define, develop, implement, and support ATE test programs for GPU, Tegra, and Automotive products. The role involves working with manufacturing teams to increase yields, test coverage, and capacity, while reducing production costs. Responsibilities include test program development, debugging failures, and writing scripts/tools to enhance productivity. Requires a Bachelor's degree in EE/CE or equivalent, 2+ years of VLSI ATE testing experience, and working knowledge of Advantest 93K ATE platform. | — | 0 |
| Senior Systems Engineer, Storage - DGX Cloud Senior Systems Engineer role focused on building, automating, and operating large-scale production systems, specifically storage and data platforms on Kubernetes for NVIDIA's GPU cloud services. Responsibilities include designing, deploying, and operating Kubernetes solutions, building automation tools for storage lifecycle management, developing telemetry and observability, and applying analytical troubleshooting skills. Requires strong experience in Kubernetes, software design, observability tools, and programming languages like Python or Go. | — | 0 |
| Senior SRAM Layout Design Engineer Senior SRAM Layout Design Engineer role at NVIDIA, focusing on the physical layout creation for SRAM and memory IP in advanced CMOS nodes. Responsibilities include managing the complete custom layout process, developing floorplans, performing physical verification checks, and collaborating with various engineering teams. Requires extensive experience in custom IC layout, SRAM/memory IP layout, and physical verification tools. | — | 0 |
| Senior Thermal Mechanical Photonic Designer This role focuses on the thermal and structural design of silicon photonic components, involving stress simulation, experimental validation, and modeling of thermo-mechanical interactions in electronic packages. It requires expertise in Ansys tools and a strong background in optics and photonics product development, with a PhD in a related field and significant experience in silicon photonics ICs. | — | 0 |
| ASIC Design Engineer - Hardware This role is for an ASIC Design Engineer focused on improving methodologies and delivering system-level IP for performance measurement on GPUs and SOCs. Responsibilities include RTL design, verification, automation, and working with cross-functional teams. Requires BS/equivalent in EE/CE, 2+ years of experience in RTL design, verification, and scripting languages. | — | 0 |
| Senior Verification Engineer - Hardware NVIDIA is seeking a Senior Verification Engineer for their Emulation division. The role involves supporting emulation environments, bringing up SOCs, and debugging issues with emulation vendors. Requires experience in Verilog/VHDL, C/C++, SystemVerilog, UVM, and scripting languages. | — | 0 |
| Senior Implementation Methodology Engineer This role focuses on developing and improving the RTL2GDS implementation methodology for advanced-node CPU silicon. It involves evaluating EDA tools, defining standards, conducting experiments for optimization, and building automation frameworks. The goal is to drive PPA targets, resolve bottlenecks, and improve engineering throughput, with a potential application of AI/ML for flow optimization. | — | 0 |
| Senior Circuit Design Engineer - Power Modeling and Simulation Senior Circuit Design Engineer focused on Power Modeling and Simulation for processor designs, involving analog and digital circuit modeling, power delivery networks, and system-level simulations. Requires 6+ years of experience with simulation tools and EDA, with a strong preference for experience with complex PDNs for CPUs/GPUs. | — | 0 |
| Circuit Design Engineer - Standard Cell NVIDIA is seeking a Circuit Design Engineer for their VLSI team, focusing on standard cell libraries and custom ROM modules. The role involves transistor-level circuit design, modeling, performance analysis, and verification, with collaboration across multi-functional teams to improve quality checks on libraries. Requires MS in Electrical or Computer Engineering with 3+ years of experience in advanced submicron process issues, SPICE simulation, and DRC/LVS debug. | — | 0 |
| Hardware Engineering Lab Manager – LPU NVIDIA is seeking a Hardware Engineering Lab Manager to oversee the day-to-day operations of their Hardware Engineering labs, focusing on inventory, space allocation, equipment maintenance, safety, and compliance. The role involves managing lab equipment, ensuring safety training, supporting procurement, and forecasting material needs for datacenter products. | — | 0 |
| Senior Customer Safety Engineer - Automotive This role focuses on functional safety for autonomous vehicles, ensuring NVIDIA's DRIVE products meet safety standards like ISO 26262. It involves customer interaction, integration support, and tailoring safety architectures. | — | 0 |