NVIDIA
- HQ
- California, US
- Founded
- 1993
- Size
- 35,000+
- Website
- nvidia.com
Currently tracking 440 active AI roles, down 53% 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 Tools Development Engineer This role focuses on building agentic infrastructure for test automation and quality engineering within the NVIDIA Omniverse platform. The engineer will design and deploy multi-agent systems, orchestration frameworks, and autonomous pipelines, with a strong emphasis on evaluating agent output quality and establishing observability for these workflows. The goal is to enable engineers to ship high-quality software with greater speed and confidence. | AgentEval Gate | 9 |
| Manager, Test and Tools Development Engineering Manager for a test and tools development engineering team focused on building autonomous systems and AI-powered quality infrastructure for Omniverse. The role involves leading a team to design agentic test pipelines, multi-agent orchestration for test generation, failure triage, and establishing evaluation frameworks for AI-generated outputs. |
| Agent |
| 8 |
| Applied AI Engineer - DFT Methodology NVIDIA is seeking an Applied AI Engineer to explore and architect generative AI solutions, including LLMs, RAGs, and Agentic AI workflows, for Design-for-Test (DFT) and VLSI problems. The role involves deploying predictive ML models for silicon lifecycle management and collaborating with VLSI/DFX teams to integrate AI solutions. Experience in applied ML for chip design and deploying generative AI for engineering use cases is required. | Agent | 8 |
| Senior Architect - Server Performance NVIDIA is seeking architects to drive architectural performance for its next-generation AI server systems. This position demands a unique capability to bridge deep architectural knowledge, workload analysis, and hands-on silicon investigations. Candidates should be adept at working directly with silicon, high-level models, and simulators. Responsibilities include conducting performance investigations on both NVIDIA and competitive platforms, and developing targeted microbenchmarks to examine specific architectural aspects. The role does not heavily involve modeling tasks (functional or performance), though occasional focused assignments may arise. | Serve | 8 |
| Senior Tools Development Engineer NVIDIA is seeking a Senior Tools Development Engineer to build agentic infrastructure for test automation and quality engineering on the Omniverse platform. The role involves designing and deploying multi-agent systems, orchestration frameworks, and evaluation systems to improve software quality and reliability. | Agent | 8 |
| Senior GPU System Architect NVIDIA is seeking a Senior GPU System Architect to design multi-GPU scale-up and scale-out datacenter systems for AI and HPC. The role involves architecting system topologies, defining interconnects (NVLink, Ethernet), collaborating on RDMA, using system models for analysis, and co-designing hardware-software stacks for efficient AI workload deployment. | Serve | 8 |
| Senior System Software Engineer, Speech AI NVIDIA is seeking an experienced Software Engineer to work on their GPU-accelerated Speech AI platform, focusing on building and optimizing core speech recognition (ASR), text-to-speech (TTS), and S2S services for real-time conversational AI applications. The role involves developing C++ & Python backend implementations, optimizing inference performance, adding new features, contributing to client libraries, and performance analysis of complex systems. | ServePost-train | 8 |
| System Software Engineer - Deep Learning System Software Engineer at NVIDIA focused on accelerating deep learning inference for autonomous driving systems using NVIDIA GPUs and DL accelerators. The role involves developing SDKs/frameworks for LLMs and state-of-the-art models, benchmarking, and optimizing for latency, accuracy, and power consumption. Requires experience with deep learning frameworks, DNN optimization, and C/C++. | ServePost-train | 8 |
| AI Developer Technology Engineer NVIDIA is seeking an AI Developer Technology Engineer to work on optimizing AI techniques on GPU architectures and collaborate with customers and internal teams to influence future designs. The role involves studying and developing cutting-edge deep learning, graphs, and machine learning techniques, with a focus on performance analysis and optimization for GPUs. The engineer will also work with customers to understand their problems and provide AI solutions using GPUs, and collaborate with NVIDIA's internal teams to shape next-generation architectures and software platforms. | Serve | 8 |
| GPU System Architect NVIDIA is seeking a GPU System Architect to design multi-GPU scale-up and scale-out datacenter systems for AI and HPC. The role involves defining system architectures that tightly couple GPU compute, memory, and interconnects for optimal AI performance, scalability, and resilience. Responsibilities include architecting system topologies, defining high-speed interconnects, collaborating on RDMA hardware, using system models for analysis, and enabling hardware-software co-design. | Serve | 7 |
| Senior Software Engineer, Mapping - Autonomous Vehicles NVIDIA is seeking a Senior Software Engineer for their Autonomous Vehicles Mapping team. The role involves designing and developing algorithms for map-based driving products, architecture design, and implementing efficient in-vehicle code. Key responsibilities include researching and developing transformer models for graphs, implementing evaluation frameworks for LLMs, fine-tuning pretrained models, building automated map content analysis, and creating scalable map-building workflows. The role requires a background in computer vision, 3D geometry, machine learning, and heavy AI tool usage for development. | AgentPost-train | 7 |
| Senior System Software Engineer - Video Senior System Software Engineer role focused on building and optimizing system software for NVIDIA's video subsystem, involving AI/ML and computer vision algorithms for video compression and multimedia processing on Tegra Application Processors and GPUs. Requires strong C/C++ and Python skills, experience with video compression standards, and a track record in pre/post-processing algorithms. | 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| Senior System Software Engineer - Graphics Senior System Software Engineer at NVIDIA focusing on DirectX Graphics Drivers, with a significant emphasis on exploring and building AI agents to automate engineering workflows like debugging, testing, and code analysis. The role involves developing AI-based post-processing features and fundamental software stacks for AI in graphics, and improving developer efficiency through AI. | Agent | 5 |
| ASIC Design and STA Engineer NVIDIA is seeking an ASIC STA Engineer to join their Networking Silicon engineering team. The role involves full chip and/or chiplet level STA convergence, clock planning, optimizing signoff flows, and timing integration. The ideal candidate will have 3+ years of experience in physical design and STA, familiarity with EDA tools, and hands-on experience with Synopsis Primetime. | — | 5 |
| Architect - GPU Performance This role focuses on system-level performance analysis and bottleneck identification for complex, high-performance GPUs and SoCs. The architect will work with hardware models, develop workloads for various applications including machine learning, and collaborate with design teams to optimize system performance, area, and power. They will also develop infrastructure for performance analysis and visualization tools. | — | 5 |
| Senior System Software Engineer, Compute System Senior System Software Engineer to work on the architecture and design of user mode drivers that interact with GPU, DLA and other Tegra compute engines. Focus on functional safety software for automotive sectors and safety certification. | — | 5 |
| Senior Software Engineer, DriveAV - Autonomous Vehicles NVIDIA is seeking a Senior Software Engineer for their DriveAV team in Bangalore, India, to work on autonomous vehicle software. The role involves supporting the integration and issue resolution of ADAS features, mapping customer requirements, and diving deep into root cause analysis. The ideal candidate will have 5+ years of experience in ADAS or autonomous driving software, experience integrating AV functions, and understanding of fault mapping and diagnostic routines. | — | 5 |
| Senior System Software Engineer, Deep Learning Accelerator NVIDIA is seeking a Senior System Software Engineer to develop and maintain system software drivers for their Deep Learning Accelerator (DLA/NPU) hardware. The role involves working on user mode drivers, kernel mode drivers, firmware, and the DLA compiler toolchain. While familiarity with deep learning is desired, the core focus is on low-level system software and hardware acceleration. | — | 5 |
| Manager, Software Tools Development Manager for Software Test and Tools Development at NVIDIA, focusing on creating automated tests and tools for GPU software and SDKs. The role involves leading a team, defining test strategies, and implementing automation using Python & C#, with exposure to AI/ML and Agentic AI for workflow optimization. | — | 5 |
| CAD Layout Design Engineer NVIDIA is seeking a CAD Layout Design Engineer to join their Layout Methodology team. The role involves studying new technologies, creating digital IP for layout work, and investigating the application of ML/DL/LLM techniques for layout creation. The ideal candidate will have 5+ years of experience in SRAM/Analog layout design, proficiency in Cadence SKILL and Python/Perl/Shell scripting, and experience with PCELL development. | Data | 5 |
| Tools and Development Engineer NVIDIA is seeking a Software Tools Development Engineer to join their GPU SWQA team. The role involves designing and implementing automated tests using AI technologies for NVIDIA's device driver software and SDKs on Linux. Responsibilities include building Python tools/frameworks to automate and optimize testing workflows, driving test automation initiatives, identifying and debugging defects, and contributing to the development of applications and tools that accelerate development and test workflows. The ideal candidate will have 4+ years of programming experience in Python, experience with databases, strong OS fundamentals, and experience using AI tools for test automation. | Ship | 5 |
| Senior Tools Development Engineer This role is for a Senior Tools Development Engineer at NVIDIA, focusing on building data-driven tools and automation to improve software quality and accelerate the delivery of NVIDIA products. The engineer will leverage AI development tools for test plan creation, test case generation, and bug detection, and develop automated end-to-end tests for NVIDIA software and SDKs. The role requires strong programming skills in C#/Java/C++/Python and experience with OS fundamentals and PC hardware. | — | 5 |
| Chip Power Estimation Engineer NVIDIA is looking for an engineer to develop advanced power models for GPUs and SOCs, focusing on chip and board power estimation. This role involves understanding chip architecture, low power design, and process technology to estimate power consumption under various scenarios. The engineer will collaborate with multiple design teams and contribute to performance/watt improvement ideas for NVIDIA's products, which are increasingly used in AI applications. | — | 5 |
| Senior Business Solutions Architect – Enterprise Data Management This role focuses on architecting and implementing SAP Master Data Governance (MDG) solutions for Material and Business Partner domains within the semiconductor industry. It involves designing data integration pipelines, leading governance capabilities, establishing data quality and observability, and providing production support. The role requires deep expertise in SAP MDG, data modeling, integration frameworks, and supply chain data domains, with a preference for semiconductor industry experience. Familiarity with AI tools for productivity is a plus. | — | 1 |
| Senior System Software Engineer, Automotive Performance Senior System Software Engineer focused on optimizing NVIDIA's automotive performance platforms, including Safe RTOS and hypervisors. The role involves close collaboration with hardware and software teams, performance benchmarking, and contributing to AI-assisted automotive profiling tools. Experience with C/C++, Linux/QNX, and system performance optimization is required, with AI/ML experience being highly desirable. | — | 1 |
| Analog Digital Mask Design Engineer NVIDIA is seeking an Analog Digital Mask Design Engineer to execute IC layout of high-performance, high-speed CMOS integrated circuits in advanced process nodes. The role involves delivering layouts for digital and analog IPs, ensuring design quality, and performing layout verification and optimization. Requires 3+ years of experience in analog layout, knowledge of EDA tools, and experience with various analog blocks and layout techniques. | — | 0 |
| Senior SOC Design Engineer - Networking Group Seeking an expert SOC Design and Integration Engineer for NVIDIA's Networking chip design group in Bengaluru. The role involves crafting and implementing next-generation DPUs and Switch Silicon chips, focusing on high-speed communication devices with high efficiency and low latency. Responsibilities include understanding project features, defining milestones, developing system-level methodologies, integrating components, and tracking progress via an agile framework. | — | 0 |
| Senior System Software Engineer NVIDIA is seeking Senior System Software Engineers to work on Windows on Arm systems, focusing on SOC and system-level development, platform drivers, and sophisticated triage automation. The role involves pre-silicon and board bring-up, debugging, supporting the OEM ecosystem, and contributing to architecture definition and early modeling. Requires strong C/C++, Python, and deep understanding of ARM microarchitecture, Windows Driver Model, and operating system fundamentals. | — | 0 |
| Senior Verification Engineer NVIDIA is seeking a Senior SoC/CPU Verification Engineer to verify CPUs/SoCs with AI capabilities for various applications. The role involves verifying micro-architecture/architecture features at different levels, partnering with architects, and working on full-stack development from simulation to silicon. | — | 0 |
| DFX CAD Tools Development Engineer Develop and support CAD tools for NVIDIA's semiconductor products, focusing on Design for Test (DFT) and Design for Power (DFP) using C++, Python, and TCL. The role involves architecting automated design flows, collaborating with cross-functional teams, and developing in-house tools. | — | 0 |
| Senior System Software Engineer - Github NVIDIA is seeking a senior software engineer to build and maintain a large-scale private cloud system on GitHub and Kubernetes, supporting CI services for various NVIDIA teams. The role involves scaling cloud services to thousands of servers, handling millions of jobs daily, and improving the efficiency of NVIDIA's software engineers. Responsibilities include building scalable cloud solutions, tackling infrastructure challenges like job scheduling and resource management, developing metrics/alert/storage services, and applying ML/deep learning to improve system performance. The ideal candidate has a strong OOP background (preferably Java), experience in large-scale cloud infrastructure, Kubernetes, message brokers, and databases, with 5+ years of experience. | — | 0 |
| ASIC Design Engineer NVIDIA is seeking ASIC Design Engineers to design and implement world’s leading SoCs, impacting product lines from consumer graphics to self-driving cars and AI. The role involves working with system architects, defining micro-architecture, developing RTL, owning silicon bring-up, and mentoring junior engineers. Requires BS/MS, 2+ years of experience, expertise in micro-architecture, RTL coding (Verilog/System Verilog), and design/verification tools. | — | 0 |
| GPU Core Pipeline IP Verification Engineer NVIDIA is seeking a Verification Engineer to verify the design and implementation of control subsystems for GPUs. This role involves IP-level verification, working with specifications, developing verification infrastructure, and collaborating with HW architects and designers. Experience with Verilog, C++, OOPs, and verification methodologies like UVM/VMM is required. | — | 0 |
| Verification Engineer - PCIE NVIDIA is seeking a Verification Engineer to verify the design and implementation of PCI Express controllers for GPUs and SOCs. This role involves using UVM and SystemVerilog to build verification environments, develop test plans, and collaborate with design teams. Experience with interconnect protocols and functional coverage is required. | — | 0 |
| Verification Engineer, PCIE NVIDIA is seeking a Verification Engineer to verify the design and implementation of PCI Express controllers for GPUs and SOCs. The role involves using UVM and SystemVerilog to build verification environments, develop test plans, and collaborate with design teams. Experience with verification methodologies and protocols like PCI Express is required. | — | 0 |
| ASIC Verification Engineer NVIDIA is seeking an ASIC Verification Engineer to plan and implement IP/Cluster/SOC functional verification of designs for their Graphics Processors and Tegra SOCs. The role involves creating regression plans, performing pre-silicon validation, and working with HW architects and designers. Responsibilities include owning ASIC verification, ensuring functional and code coverage, and collaborating with FPGA and S/W teams. Post-silicon verification and debug are also part of the role. | — | 0 |
| ASIC Verification Engineer NVIDIA is seeking an ASIC Verification Engineer to plan and implement IP/Cluster/SOC functional verification of designs for their Graphics Processors and Tegra SOCs. The role involves creating regression plans, performing pre-silicon validation, and working with HW architects and designers. Responsibilities include owning ASIC verification, ensuring functional and code coverage, and collaborating with FPGA and S/W teams. Post-silicon verification and debug are also part of the role. | — | 0 |
| Senior DFT Verification Engineer This role is for a Senior DFT Verification Engineer at NVIDIA, focusing on Design for Testability (DFT) verification, pattern development, and silicon bring-up for various test features. The engineer will also contribute to improving DFT methodologies and AI deployment in processes, working with cross-functional teams. Requires BSEE/MSEE or equivalent experience, proficiency in static timing analysis, ECO, ASIC/Logic Design Flow, HDL, Digital logic design, RTL and Gates verification, simulation, silicon bring-up, BIST architecture, JTAG standards, Scan ATPG, compression techniques, memory test, and scripting knowledge (Perl/Python). | — | 0 |
| Senior IP Design Verification Engineer - XBAR IP Senior IP Design Verification Engineer to verify memory subsystem units for GPUs and SOCs, impacting product lines from consumer graphics to AI. Responsibilities include defining verification scope, developing infrastructure, creating test plans, and ensuring correctness using advanced methodologies like SV/UVM. | — | 0 |
| Verification Engineer - GPU Fullchip NVIDIA is seeking a Verification Engineer to verify the design and implementation of their industry-leading GPUs. The role involves verifying ASIC design, architecture, golden models, and micro-architecture at the full-chip level using advanced verification tools and methodologies. Responsibilities include building reusable bus functional models, traffic generators, monitors, checkers, and scoreboards, defining verification scope, developing verification infrastructure, and collaborating with architects and designers. | — | 0 |
| ASIC Verification Engineer - Clocks NVIDIA is seeking an ASIC Verification Engineer to verify system-level IP, including Fuses and in-system measurement blocks. The role involves developing test plans, implementing tests using System Verilog and UVM, and collaborating with cross-functional teams. Requires experience in unit, sub-system, or SoC level verification and proficiency in Python or scripting languages. | — | 0 |
| Lab Manager - Hardware Engineering NVIDIA is seeking a Lab Manager for its Hardware Engineering group to oversee lab operations across multiple design centers in India. The role involves managing lab technicians, planning and forecasting lab needs (space, power, equipment), ensuring safety and security compliance, managing equipment lifecycle, and standardizing operations across sites. The ideal candidate will have extensive experience in silicon/HW lab setup and management, team leadership, and cross-functional collaboration. | — | 0 |
| Verification Engineer, Memory Subsystem NVIDIA is seeking a Verification Engineer for their Memory Subsystem team in Bengaluru, India. The role involves verifying ASIC design, architecture, and micro-architecture using advanced methodologies, developing verification infrastructure, and ensuring the correctness of complex IPs/sub-systems, particularly for the GPU memory subsystem. Responsibilities include creating test plans, building reusable verification components, and achieving functional coverage closure. The ideal candidate will have a B.Tech/M.Tech degree with 2+ years of experience in complex IP verification, expertise in Verilog, SystemVerilog, and UVM/VMM, and familiarity with industry-standard verification tools. | — | 0 |