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 |
|---|---|---|
| HPC and AI Cluster Engineer NVIDIA is seeking an HPC and AI Cluster Engineer to manage and maintain large-scale HPC/AI clusters, including Linux job scheduling, CI/CD pipelines, and troubleshooting from bare metal to application level. The role involves supporting R&D activities and POCs, working with cutting-edge hardware and software, and collaborating with researchers and customers to develop solutions. | Serve | 7 |
| GPU Computing Engineer - Autonomous Driving NVIDIA is seeking a GPU Computing Engineer in Shanghai to analyze Deep Learning models and investigate TensorRT stability and performance issues. The role involves working with a global team on CUDA and TensorRT development, extracting feature requirements, and generating documentation. Requires strong C/C++/Python skills, knowledge of inference networks, and experience with deep learning frameworks like PyTorch. | Serve |
| 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 |
| 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 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 |
| CPU Performance Developer Technology Engineer NVIDIA is seeking a CPU Optimization Engineer to research, design, and implement performance optimization strategies for workloads including AI data preprocessing, scientific, and HPC applications on NVIDIA Grace/Vera CPUs. The role involves collaborating with developers, profiling, analyzing, and optimizing CPU performance, contributing to open-source frameworks, and influencing future CPU and software architecture. | — | 5 |
| Security and Safety Circuit Engineer This role focuses on developing and validating silicon security and safety circuits for NVIDIA's products. While the core function is hardware engineering, the role explicitly seeks experience in applying AI-driven methodologies and AI-assisted workflows to semiconductor co-design and validation problems, indicating an exploration of AI's application in this domain. | — | 5 |
| Developer Technology Engineer – AI NVIDIA Developer Technology Engineer focused on optimizing core parallel algorithms and data structures for GPUs, collaborating with application developers and internal NVIDIA teams to improve application performance and developer efficiency. Requires strong programming skills in C/C++/Python, parallel programming experience (CUDA), and mathematical fundamentals. | Serve | 5 |
| System Performance Analysis Engineer, Silicon Co-Design Group This role focuses on system performance analysis for NVIDIA's GPUs and SOCs, involving large-scale benchmarking, designing automation tools, optimizing HW/SW performance and power management, and researching new architectural features. A key aspect is utilizing AI-driven techniques and machine learning algorithms to enhance performance prediction, power management strategies, and automate data collection/analysis. | — | 5 |
| Senior Power and Performance Engineer This role focuses on optimizing power and performance for NVIDIA's datacenter and client products by architecting and integrating system-level features and policies. While not directly building AI models, the role heavily leverages AI/ML techniques for performance prediction, power management, data analysis, and automation, indicating an AI-adjacent function within an enterprise AI domain. | — | 5 |
| Power Integrity Co-Design Engineer NVIDIA is seeking a Power Integrity Co-Design Engineer to architect and deliver di/dt mitigation across silicon, package, board, and platform. This role involves defining product-level voltage noise targets, architecting mitigation strategies, and leading codesign tradeoffs. The engineer will also build and lead Sim-to-Si correlation methodology, model next-gen noise features, and lead bug resolution during bringup. A key aspect is applying AI techniques to accelerate power integrity work, requiring strong engineering judgment to balance AI acceleration with rigorous manual validation. | — | 5 |
| Senior SOC Design Engineer Senior SOC Design Engineer role focused on building complex GPU and SoC products, improving automation, quality, and scalability of design workflows. The role involves SoC integration, automation development, and applying AI thoughtfully to enhance engineering productivity. | — | 5 |
| Senior System Software Engineer - Autonomous Vehicles Senior Software Engineer for NVIDIA's Autonomous Vehicles division, focusing on the software foundation for AI-powered ADAS and safety features. The role involves adapting NVIDIA Drive software, triaging and diagnosing complex issues in safety-critical systems, collaborating with teams to find root causes and implement solutions, supporting function bring-up, assessing functional performance, debugging functions, ensuring end-to-end traceability, and coordinating fixes across international teams. Requires strong background in ADAS development and triage, proficiency in Linux/QNX, understanding of ADAS/AD functions, and systematic issue isolation skills. Experience with C++, Python, sensor-based automotive software, ADAS feature validation, SoC architectures, CUDA, TensorRT, GPU computing, and performance bottleneck identification are advantageous. | — | 5 |
| Manufacturing Test Engineer NVIDIA is seeking a Manufacturing Test Engineer to automate product definitions, data collection, test case execution, and results analysis. This role involves driving LPU&GPU diagnosis, qualifying equipment, and developing AI for production automation. The engineer will also assist with debug tools and product test setup. | Data | 5 |
| Senior CUDA Test Development Software Engineer, SDET NVIDIA is seeking a Senior CUDA Test Development Software Engineer to ensure the quality of CUDA products, including drivers and libraries. This role involves designing and implementing functional and performance tests, automating tests, triaging results, and developing scripts and tools. The ideal candidate will have a strong background in software testing, C++, Python, Linux/Windows, and experience using AI tools for test automation and bug fixing. | — | 5 |
| Infrastructure Automation Engineer - Silicon Co-Design Group NVIDIA is seeking an Infrastructure Automation Engineer to drive post-silicon validation automation integration and workflow visualization. The role involves designing and implementing productivity improvements, collaborating with cross-functional teams on system build and verification processes, and maintaining large-scale infrastructures. Requires 5+ years of software development experience, strong C++/Python skills, and hands-on AI/ML and data analysis experience. | — | 5 |
| Senior GPU Communications Libraries Test Development Engineer, SDET This role focuses on testing and automating tests for NVIDIA's GPU Communications Libraries, which are foundational for high-performance computing and AI workloads. While not directly building AI models, the role requires solid experience with AI development tools and deep learning frameworks to ensure the quality of the underlying infrastructure. | — | 5 |
| Senior Silicon Validation and Methodology Engineer - In System Testing Senior Silicon Validation and Methodology Engineer at NVIDIA, focused on in-system testing of silicon designs. The role involves leading validation plan development, collaborating with cross-functional teams, developing automated test setups, analyzing results, and mentoring junior engineers. A strong emphasis is placed on leveraging AI tools (LLMs, code assistants, etc.) to accelerate various aspects of the validation workflow, including test generation, data analysis, documentation, and methodology optimization, while maintaining human judgment and rigor. | — | 5 |
| Senior DGX Cloud Test Development Engineer, SDET This role focuses on using and developing AI-powered tools to enhance software testing processes within NVIDIA's DGX Cloud platform. The engineer will be responsible for improving test case generation, defect detection, and test coverage, as well as performing various types of testing and automating test cases. While the role utilizes AI tools, its core function is software testing and quality assurance, not the direct development or research of AI models themselves. | — | 5 |
| System Software Engineer, Platform Operations NVIDIA is seeking an operationally-focused System Software Engineer to ensure the stability, reliability, and flawless execution of all NVIDIA Deep Learning Institute (DLI) training events and oversee the broader day-to-day operational health of the entire learning platform. The role involves developing operational plans, providing technical leadership during live events, overseeing platform stability and reliability using SRE principles, and leading cross-functional coordination. | — | 5 |
| Senior Deep Learning Test Development Engineer, SDET Senior Deep Learning Test Development Engineer (SDET) at NVIDIA, focusing on validating the performance and robustness of Deep Learning software and GPU infrastructure across various AI applications like autonomous driving, healthcare, and NLP. The role involves test plan design, execution, automation, bug management, and leveraging AI-powered tools for efficiency. | Serve | 5 |
| Networking Solution Test Engineer - AI IB and Ethernet Cluster Debugging NVIDIA is seeking a Networking Solution Test Engineer to join their End-to-End Verification team. The role involves working on cutting-edge Ethernet-based AI clusters, debugging complex issues across hardware, system software, and AI workloads. Responsibilities include designing test requirements, building testbeds, owning end-to-end cluster troubleshooting, collaborating with development teams on networking components, defining tests for automation, running regression and performance tests, and profiling deep learning workloads. | Serve | 5 |
| Deep Learning Kernel Software Performance Architect This role focuses on optimizing GPU kernel performance for deep learning workloads by building automated, data-driven workflows to detect, explain, and prevent performance regressions. The engineer will be responsible for performance analysis, debugging, and developing Python-based automation for performance testing and analysis, collaborating with various engineering teams. | — | 5 |
| Senior System Validation Methodology Engineer NVIDIA is looking for a Senior System Validation Methodology Engineer to develop and lead silicon validation methodologies, debug complex system-level issues, and drive automation. The role involves working with HW and SW teams, bringing up new flows on pre-silicon platforms, and applying AI to semiconductor co-design and validation problems. | — | 5 |
| Senior SWQA Test Development Engineer, SDET This role focuses on enhancing QA efficiency using AI-powered tools for test automation, defect detection, and optimization. While it leverages AI tools extensively, the core craft is software quality assurance and testing, not the direct development or research of AI models themselves. The primary output is a tested software product. | — | 5 |
| Infrastructure Software Engineer, Deep Learning Libraries NVIDIA is seeking an Infrastructure Software Engineer to enable high-performing deep learning libraries like TensorRT and TensorRT-LLM. The role involves designing and developing scalable automation for build, test, integration, and release processes across diverse platforms, including autonomous vehicles and datacenters. The engineer will work with industry-standard tools like Kubernetes and Jenkins, and contribute to advancing these tools. | — | 5 |
| Manager, Software Engineering - NCCL Manager, Software Engineering for GPU Communications Libraries (NCCL) at NVIDIA, focusing on Deep Learning and HPC. The role involves leading a China-based engineering team, managing execution, customer interaction, roadmap definition, and contributing to feature design. Requires significant experience in software industry management, systems software, networking, and C/C++ programming. | — | 1 |
| Graphics Tools Software Engineer Software Engineer to develop graphics developer tools for NVIDIA GPUs, focusing on feature implementation, technical design, and performance optimization across various applications like games, VR, and automotive. | — | 0 |
| Senior System Software Engineer - GPU Performance Profiling Tools NVIDIA is seeking a Senior System Software Engineer to build and maintain internal profiling tools for performance and power optimization, focusing on GPU applications and AI workloads. The role involves collaborating with hardware architects and software teams to improve GPU design and provide insights into system performance. | — | 0 |
| Senior System Software Engineer, CPU Senior System Software Engineer role at NVIDIA focusing on developing and debugging diagnostic software for Tegra chips. Requires strong C/C++, OS/kernel knowledge, and computer architecture understanding. Responsibilities include driver development, feature implementation, and bug fixing, working closely with hardware and software teams. | — | 0 |
| Senior CUDA Test Development Software Engineer, SDET NVIDIA is seeking a Senior CUDA Test Development Software Engineer to join their CUDA Test Development team. This role involves designing and implementing functional/performance tests for CUDA products, automating tests, integrating them into infrastructure, triaging results, and developing scripts/tools. The ideal candidate has an MS/PhD, 3+ years of experience, strong QA skills, proficiency in C++ and Python, and knowledge of Linux/Windows. Experience using AI tools for test automation and bug fixing is a plus. | — | 0 |
| System Application Engineer System Application Engineer role focused on GPU and CPU technology for enterprise and data-center platforms, supporting NVIDIA customers in product engineering and technology development. Requires deep knowledge of server architecture, high-speed interconnects, system qualification, and reliability. | — | 0 |
| Deep Learning Performance Architect, CUTLASS DSL Testing NVIDIA is seeking a test engineer to develop the CUTLASS DSL testing framework, shape product test strategy, and ensure end-to-end code quality across the MLIR-based compilation pipeline. The role involves driving automated testing and regression detection for correctness and readiness for shipping. | — | 0 |
| ASIC Design Engineer, Clocks NVIDIA is seeking a Senior ASIC Design Engineer for their GPU clocks group. The role involves designing, architecting, and validating high-frequency, low-power clocking RTL for GPUs, collaborating with various design and verification teams, and improving design flows using scripting languages. Experience with RTL design, logic synthesis, and silicon issues is required. | — | 0 |
| Manager, Formal Verification Manager for a formal verification team at NVIDIA, focusing on pre-silicon verification of complex digital designs for networking products and GPU technologies. The role involves leading a team, defining verification strategies, collaborating with other engineering teams, and ensuring the correctness of designs for data centers, HPC, networking, and storage applications. | — | 0 |
| Manufacturing Test Engineer - ICT NVIDIA is looking for a Manufacturing Test Engineer with 5+ years of experience in ICT programming and fixture debugging to support the production line by identifying and addressing ICT fixture problems, maintaining and optimizing ICT test programs, analyzing production defects, and troubleshooting ICT test failures. The role also involves supporting new product introduction and monitoring the running status and yield rate of ICT test fixtures. | — | 0 |
| Senior DFX Engineer NVIDIA is seeking a Senior DFX Engineer to lead DFX planning, implementation, verification, and silicon bring-up for their semiconductor products. The role involves improving DFX design, architecture, and flow, requiring expertise in Verilog, ASIC design, JTAG, Scan, ATPG, fault models, ATE testing, silicon debug, and scripting languages like Perl, Python, or Tcl. | — | 0 |
| Signal and Power Integrity Engineer NVIDIA is seeking a Signal & Power Integrity Engineer to drive board/system level SI/PI requirements, lead design activities, and collaborate with cross-functional teams. The role involves PCB stackup/material selection, layout review, post-layout analysis, and supporting SI/PI failure analysis. Responsibilities also include developing novel algorithms for SI/PI modeling, supporting customers, and performing VNA & TDR measurements for model correlation. Requires MS/BS in EE or equivalent, 1+ years of SI/PI experience, deep understanding of electromagnetics, proficiency with simulation tools (HFSS, Sigrity, Hspice), and experience with Cadence Allegro. Familiarity with NRZ/PAM-4, interface timing budgets, high-speed I/O, PDN analyses, and scripting languages like Python is a plus. | — | 0 |
| SONiC Verification Engineer Software Verification Engineer for NVIDIA's Ethernet Switch SONiC Network OS, focusing on designing and implementing automation test suites, working with CI/CD systems, and contributing to the SONiC community. | — | 0 |
| ASIC Physical Design Engineer NVIDIA is hiring ASIC Physical Design Engineers (junior and senior) to work on physical design from RTL to GSDII, including design quality check, synthesis, formal check, partitioning, constraint management, timing analysis, and signoff. The role involves working with advanced processes and large chips, collaborating with various teams, and developing/enhancing the timing closure flow. Experience with EDA software and scripting languages is preferred. | — | 0 |
| Systems Infrastructure Software Engineer NVIDIA is seeking experienced Systems Infrastructure Software Engineers to design, implement, and debug the next generation of large-scale, general-purpose graphics and computing chips. The role involves building core verification infrastructure for GPU and Tegra chips using object-oriented C++ and Python, focusing on developing environments for programming and testing next-generation features, collaborating with cross-functional teams, and participating in the full chip development lifecycle. | — | 0 |
| GPU Profiling Software Engineer Software Engineer role focused on developing and improving GPU profiling tools and libraries to help developers analyze and optimize application performance on NVIDIA GPUs. This involves working with low-level libraries, hardware specifications, and cross-disciplinary teams. | — | 0 |
| SAI Software Design Engineer Software Design Engineer role at NVIDIA focused on switch and router related software development, involving the full development cycle in an embedded environment using C/C++ and Linux networking. Requires strong programming, communication, and debugging skills, with knowledge of networking protocols and testing methodologies. | — | 0 |
| Compute System Architect NVIDIA is seeking a Compute System Architect to work on GPU compute and memory subsystems. The role involves exploring sophisticated cross-unit features, acting as a safety net for the chip by randomly generating and debugging tests on various platforms (pre-silicon, RTL, emulator, silicon). The architect will also develop and improve test generation infrastructure and build tools to enhance efficiency. | — | 0 |
| ASIC Physical Design Methodology Engineer NVIDIA is hiring ASIC Physical Design Methodology Engineers in Shanghai, China. The role involves physical design from RTL to GSDII, including design quality check, synthesis, formal check, partitioning, constraint management, async check, timing analysis/fixing/signoff, and related flows. Responsibilities include developing timing analysis and closure methodologies, implementing flow automation, establishing methodologies for timing constraints, evaluating EDA tools, developing flows for PT-spice regression and silicon correlation, and developing flows/recommendations for STA and PNR in deep submicron physical effects. The role requires a Master's or PhD in Electrical Engineering or Computer Engineering with 2+ years of experience in physical design implementation, proven experience in synthesis, timing constraints, analysis, and closure, advanced proficiency in commercial STA tools, solid expertise in STA principles and signoff processes, hands-on experience in advanced CMOS technologies, and proficiency in at least one programming/scripting language. | — | 0 |
| System Software Engineer, GPU Development Tools System Software Engineer role focused on developing and improving core infrastructure for GPU development, including chip models, test APIs, and trace generation workflows. Requires strong C/C++ and experience across GPU, driver, and application stacks. | — | 0 |
| Senior ASIC Verification Engineer - Networking Chip Design Senior ASIC Verification Engineer role focused on leading the delivery of next-generation Switch Silicon chips, involving fullchip activities, integration, and verification with a strategic leadership component. | — | 0 |
| Senior Software Engineer - RDMA and DOCA NVIDIA is seeking an experienced Software Engineer with a strong background in networking to collaborate with customers and internal teams to develop leading software solutions and stacks. The role involves building POC prototypes and requires strong C/C++ programming skills, Linux experience, and networking knowledge, with an advantage for RDMA and related technologies. | — | 0 |
| Senior Software Engineer- Networking and Virtualization NVIDIA is seeking a Senior Software Engineer with a strong background in networking and virtualization technologies to develop leading software solutions for their Connect-X NICs and Bluefield DPUs. The role involves collaborating with customers, RnD teams, and internal architecture teams to build and productize cutting-edge POC prototypes. Requires strong C/C++ and Python skills in Linux, deep networking protocol knowledge, and experience with cloud-networking and virtualization. | — | 0 |
| Power Analysis and Optimization Engineer NVIDIA is looking for a Power Analysis and Optimization Engineer to help define power targets, find power saving opportunities, and solve power issues throughout the ASIC design process. This role involves understanding IP design, creating power models, and collaborating with various engineering teams to ensure product energy efficiency and competitive advantage. | — | 0 |