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 53% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$575k (avg $262k).
| Title | Stage | AI score |
|---|---|---|
| Developer Technology Engineer, AI NVIDIA Developer Technology Engineer focused on optimizing AI and deep learning applications on GPU architectures, working with customers to provide AI solutions, and collaborating with internal teams to influence future hardware and software design. | Serve | 7 |
| Lead Algorithm Engineer, Map-Perception Fusion Lead engineer for autonomous vehicle systems, focusing on fusing map and perception data to create real-time 3D world models for navigation. This role involves architecting scalable systems, advancing mapless driving capabilities, and improving scenario understanding through techniques like static obstacle modeling and occupancy grids. | Agent | 7 |
| Senior Quantum Algorithm Researcher NVIDIA is seeking a Senior Quantum Algorithm Researcher to lead collaborations and research in AI for quantum algorithms, contributing to NVIDIA's quantum products and driving innovation at the intersection of quantum computing and AI. The role involves establishing partnerships, publishing research, and supporting customer adoption. | Pretrain | 7 |
| Senior HPC AI Cluster Engineer NVIDIA is seeking an experienced HPC-AI Engineer to join their Networking Clusters Solutions Infrastructure team. The role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job schedulers, developing CI/CD pipelines, and automating infrastructure deployment and monitoring. The engineer will work with cutting-edge hardware and software, support R&D, and engage in POCs for future improvements. | Serve | 7 |
| Senior Power Analysis and Optimization Engineer This role focuses on applying AI, ML, and LLMs to optimize power efficiency in NVIDIA's GPUs and SoCs. The engineer will develop and productionize ML/RL-based models for power analysis and optimization, design and train custom LLMs for interpreting power data and recommending improvements, and apply AI to tune power-efficient configurations. The role involves analyzing power data, partnering with cross-functional teams, and automating flows. | ServeData | 7 |
| Software Manager, Planning and Control - Autonomous Vehicles Software Manager for Planning and Control in Autonomous Vehicles at NVIDIA, leading a team to productize and deliver ADAS and autonomy functions. Responsibilities include setting algorithmic direction, designing software architecture, building testing infrastructure, and managing a team of developers. Requires significant software product and management experience, C++/C proficiency, and Agile/Linux environment familiarity. Experience shipping ADAS/Autonomy functions, building from scratch, robust testing infrastructure, algorithm development for physical systems, and automotive systems are highly desirable. | Ship | 7 |
| Senior Software Engineer — cuEquivariance Senior Software Engineer to join the cuEquivariance team, which builds and ships production GPU kernels and software interfaces for equivariant deep learning. The role involves CUDA kernel engineering, Python library development (PyTorch/JAX), and collaboration with research teams and external framework developers to accelerate geometric neural networks on NVIDIA GPUs. | Serve | 7 |
| Senior Staff Engineer, Enterprise SaaS Platform and Automation Senior Staff Engineer role focused on building agentic systems and AI-powered automation for enterprise SaaS platforms, including onboarding, support, and vendor integration. The role involves designing and implementing solutions using Python, APIs, and LLMs to reduce manual processes and improve employee productivity. | Agent | 7 |
| Senior Software Engineer - Simulation Senior Software Engineer role focused on building scalable 3D simulation software for Digital Twin and Synthetic Data Generation applications, collaborating on backend services and AI Agents for end-to-end SDG solutions. Requires strong C/C++/Python skills, 3D simulation experience, and proficiency in physics game engines and containerization tools. | Agent | 7 |
| Senior Software Engineer - Simulation Senior Software Engineer role focused on building scalable 3D simulation software for Digital Twin and Synthetic Data Generation applications, collaborating with teams to build backend services and AI Agents for end-to-end SDG solutions. Requires strong programming skills in C/C++, Python, and experience with 3D simulation and physics engines. | Agent | 7 |
| Senior AI Security Architect NVIDIA is seeking a Senior AI Security Architect to define and evolve secure SDLC methodologies for AI products using AI-assisted and agentic development environments. The role involves designing frameworks for secure adoption of AI coding assistants and autonomous agents, architecting secure agentic development environments, and integrating AI-native workflows into the SDLC. The candidate will also define security guardrails and validation mechanisms for AI-assisted software development processes. | Agent | 7 |
| Senior System Software Engineer - AI Performance and Efficiency Tools NVIDIA is seeking a Senior System Software Engineer to develop tools for AI researchers and SW/HW teams running AI workloads on GPU clusters. The role involves building internal profiling, analysis, debugging, benchmarking, and simulation tools to improve the performance and efficiency of AI workloads and systems. This includes partnering with HW architects and understanding deep learning frameworks, distributed training/inference, and GPU cluster technologies. | ServeData | 7 |
| Senior Systems Software Engineer - GPU Performance at Scale Senior Systems Software Engineer focused on GPU performance at scale for AI workloads. This role involves leading performance practices, aligning AI workloads with hardware, developing insights into AI workload performance, debugging complex issues, and collaborating with various software and firmware teams to optimize AI workload performance on NVIDIA GPUs. | Serve | 7 |
| Applied AI Engineer, Product Convergence and Closure NVIDIA is seeking an Applied AI Engineer to rebuild their silicon toolchain using AI. The role involves building infrastructure to transform raw simulation data into firmware tuning, product specs, and manufacturing limits, automating analysis and validation using LLMs and agents, and developing observability systems. The engineer will work with various teams to translate hardware requirements into production workflows. Requires 4+ years of Python production experience and hands-on LLM application in engineering problems, with a focus on data quality and distinguishing useful AI tools from hype. | AgentServe | 7 |
| Senior Software Engineer, AI Resiliency Senior Software Engineer to lead the development of AI software resiliency for large-scale AI supercomputers (100,000+ GPUs), focusing on features like fast checkpoint-recovery, error detection/isolation, and straggler/hang detection to minimize cluster downtime. The role involves hands-on C++ and Python coding, debugging, fault tolerance, and collaboration with AI researchers and hardware/software teams, integrating resiliency into AI frameworks like PyTorch and JAX/XLA. Experience with distributed systems, fault tolerance, AI frameworks, and debugging tools is required, with a preference for experience in training models, CUDA/NCCL/MPI, checkpointing strategies, and large-scale AI clusters/HPC. | Serve | 7 |
| Senior Networking Performances Architect NVIDIA is seeking a Senior Networking Performances Architect to shape the future of high-performance and ML/AI computing. This role will analyze network feature performance for AI workloads on large-scale HPC clusters, develop network behavior models, and generate insights for next-generation products. The ideal candidate will have a strong background in system engineering/architecture, performance research, Python, and a good understanding of AI models and large-scale networks. | Serve | 7 |
| Systems Software Engineer - New College Grad 2026 Systems Software Engineer role focused on applying AI and computational methods to accelerate semiconductor manufacturing and design using GPUs. The role involves developing and optimizing complex software solutions, with a strong emphasis on performance and parallel programming. | Serve | 7 |
| Senior Manager, Robotics Quality Assurance Senior Manager, Robotics Quality Assurance to lead test engineering strategy, automation, and execution for Nvidia's robotics products. This includes validating hardware/software on Jetson, testing AI foundation models (Isaac GR00T), building simulation infrastructure (Isaac Sim/Lab), and ensuring sim-to-real transferability for AI-driven robot policies. | ShipData | 7 |
| Lead Engineer, Healthcare Data Operations and Strategy Lead engineer responsible for defining strategy and architecting/building the MLOps platform for NVIDIA's healthcare data programs, ensuring data quality, governance, and serving for model training and evaluation. | Data | 7 |
| Senior Deep Learning Systems Engineer, Datacenters Senior Deep Learning Systems Engineer focused on analyzing and optimizing the performance and power consumption of deep learning applications on datacenter hardware, influencing the design of future AI systems and software stacks. This role involves developing software infrastructure, analysis tools, and profiling methodologies for DL workloads, with a strong emphasis on system architecture and performance analysis. | Serve | 7 |
| Senior HPC and AI Operation Engineer NVIDIA is seeking a Senior HPC and AI Operation Engineer to manage and maintain large-scale HPC/AI clusters, including job scheduling, CI/CD pipelines, and troubleshooting from bare metal to application level. The role involves supporting R&D activities and engaging in POCs, requiring strong Linux administration, scripting, and knowledge of HPC/AI technologies, storage, and networking. | Serve | 7 |
| Senior System Software Engineer - AI Performance and Efficiency Tools Develops internal profiling, analysis, debugging, benchmarking, and simulation tools for AI workloads running on GPU clusters, supporting AI researchers and SW/HW teams to improve performance and efficiency. | ServeData | 7 |
| Senior Developer Technology Engineer - Windows AI Platform Senior Developer Technology Engineer focused on optimizing and deploying AI/GenAI applications on NVIDIA RTX platforms, particularly LLMs on Windows. This role involves working with internal teams and external developers, analyzing performance, conducting training, and improving user experience with OSS software like Llama.cpp and Ollama. Collaboration with driver and architecture teams is key to influencing future GPU features. | ServeAgent | 7 |
| Senior Deep Learning Tools Engineer – CUDA Tile Senior Deep Learning Tools Engineer at NVIDIA focused on performance validation, analysis, and tracking for AI workloads accelerated by CUDA Tile compiler technologies and GPU systems. The role involves designing and developing performance testing frameworks, building automated CI/CD pipelines, implementing benchmarking systems, analyzing performance trends, and collaborating with compiler and architecture teams to resolve performance issues. Requires strong programming skills in Python, experience with CI/CD, deep learning frameworks, and hardware-aware performance analysis. | Serve | 7 |
| Senior Systems Software Engineer - GPU Performance at Scale Senior Systems Software Engineer focused on GPU performance at scale for AI workloads, involving collaboration with various hardware and software teams to optimize large-scale computing platforms and deliver insights into AI workload performance. | Serve | 7 |
| Senior Staff Software Engineer - AI Agent Platform Senior Staff Software Engineer to build and scale the infrastructure for NVIDIA's AI agent ecosystem, focusing on platform services for the full agent lifecycle, Kubernetes execution environments, CI/CD pipelines, and AI data platform components. | Agent | 7 |
| Senior Compiler Engineer - AI NVIDIA is seeking a Senior Compiler Engineer with expertise in machine learning and compiler technologies to focus on applied AI and ML within compilers and development tools. The role involves working with Python, C/C++, Julia, and Lisp/Scheme, with a strong foundation in compilers, code generation, and GPU architecture. Experience with LLVM is a plus. | Serve | 7 |
| Senior Sensor Fusion Engineer - Autonomous Vehicles NVIDIA is seeking a Senior Sensor Fusion Engineer for their Autonomous Vehicles team. The role involves developing core functionality for autonomous driving by fusing perception DNN and map signals to generate a real-time 3D world model. Responsibilities include enabling L3 autonomy, building fused obstacle and occupancy grids, and providing technical leadership. The position requires significant experience in AV or robotics, with a focus on sensor fusion and real-time systems. | Agent | 7 |
| Software Manager, Infra Tools AI Team This role is for a Software Engineering Manager to lead a team focused on building AI/LLM-powered infrastructure and tooling for the SONiC Network OS development lifecycle. The team will develop LLM-based tools for failure analysis, test coverage generation, and accelerating product quality, aiming to improve regression analysis and test efficiency. | Agent | 7 |
| Distinguished Software Architect - Deep Learning and HPC Communications Distinguished Software Architect role focused on designing and researching next-generation communication libraries and platforms for Deep Learning and High Performance Computing at NVIDIA. The role involves co-designing HW/SW solutions with GPU, Networking, and SW architects, driving adoption of new communication technologies, and keeping up with DL research. Requires deep expertise in HPC, parallel programming, communication runtimes, system/GPU architecture, and networking, with strong programming skills in C/C++. | Serve | 7 |
| Manager, Next-Gen AI Cluster Validation Manager to lead a team developing and validating next-generation NVIDIA AI supercomputing systems, integrating new compute, networking, storage, and software. Focus on building a platform for software development, automation, and performance engineering, and supporting large-scale deployments for AI and HPC. | Serve | 7 |
| GPU Power Architect - New College Grad 2026 NVIDIA is seeking a New College Grad Datacenter GPU Power Architect to contribute to the research and development of energy-efficient GPU and SOC architectures. The role involves developing power estimation models and tools, exploring energy efficiency at GPU and Datacenter levels, and deploying machine learning techniques to model GPU, CPU, Switch, and platform performance and power. The candidate will understand GenAI/HPC workload characteristics to drive HW/SW features for Perf@Watt improvements. | Serve | 7 |
| Senior System Software Engineer, Robotics Senior System Software Engineer role focused on building the Physical AI platform for NVIDIA's robotics projects. Responsibilities include robot bring-up, developing auto-verification pipelines, and supporting R&D. The role requires strong robotics software engineering skills, experience with various robot embodiments, and familiarity with AI/ML algorithms for robotics. The engineer will deploy and test software on physical robots and digital twins, and use agentic AI for software development. | ShipAgent | 7 |
| Senior Software Engineer, Data Center Workloads – Infrastructure Senior Software Engineer focused on developing and executing software-driven characterization workflows for AI workloads on NVIDIA rack-scale systems. The role involves analyzing, characterizing, and optimizing power, performance, and drive behavior across the full stack, including GPUs, CPUs, networking, and system software. Key responsibilities include building automated frameworks for data collection and analysis, investigating system behavior, and supporting new platform bring-up. | Serve | 7 |
| Senior Deep Learning Compiler Engineer NVIDIA is seeking a Senior Deep Learning Compiler Engineer to develop compiler optimization algorithms for deep learning networks. This role involves collaborating with deep learning software framework and hardware architecture teams to accelerate next-generation deep learning software, focusing on public APIs, performance, and compiler infrastructure for neural networks. | Serve | 7 |
| Lead Software Engineer – Robotics Platform Lead Software Engineer for NVIDIA's Robotics Platform, focusing on end-to-end solutions for training, simulation, and deployment of Physical AI on robots. The role involves leading development of core platform features, building reference integrations, and optimizing for NVIDIA hardware, with an emphasis on performance, reliability, and leveraging AI for development acceleration. | ShipAgent | 7 |
| Senior Software Engineer - Deep Learning Compiler CI Infrastructure Senior Software Engineer to own and evolve CI/CD infrastructure for NVIDIA's deep learning compiler stacks. Responsibilities include designing and operating scalable CI systems for ML workloads, delivering performance signals, and applying AI/agent-based workflows to improve developer efficiency and triage. | Serve | 7 |
| Principal Software Engineer - DGX Cloud Principal Software Engineer for NVIDIA's DGX Cloud team, focusing on building and scaling foundational systems for high-performance GPU infrastructure. The role involves leading the development of next-generation APIs, state management, and workflow orchestration systems to automate fleet lifecycle operations at scale, integrating AI schedulers and observability tools. | AgentServe | 7 |
| Senior Software Developer, AI Networking Senior Software Developer focused on AI Networking at NVIDIA, developing communication frameworks, production tools, and benchmarks for large-scale AI training and inference systems. The role involves enabling new AI models, analyzing workloads, designing automation, and collaborating with hardware teams. | ServeData | 7 |
| Senior ASIC Infrastructure Engineer Senior ASIC Infrastructure Engineer at NVIDIA, focusing on defining and deploying AI/ML applications to enhance chip design, debug, and verification processes. The role involves collaborating with hardware design teams, architecting AI/LLM solutions, and staying updated on AI/ML advancements. | Agent | 7 |
| Senior Software Engineer - Autonomous Vehicles Senior Software Engineer role at NVIDIA focused on autonomous vehicle software, specifically Active Safety features and intervention logic. The role involves adapting NVIDIA Drive software, triaging and diagnosing complex issues in ADAS and autonomous driving systems, collaborating with teams to root cause problems, and supporting vehicle bring-up and validation. Requires strong background in ADAS development, proficiency in embedded environments, and understanding of Active Safety functions. Experience with C++, Python, sensor-based automotive software, and Euro NCAP protocols is advantageous. | ShipAgent | 7 |
| SoC Product Architect, Telecom AI RAN NVIDIA is seeking a Lead SoC Product Architect for their Telecom AI RAN platform, focusing on defining the architecture and roadmap for radio and distributed unit products. The role involves analyzing workloads, driving competitive analysis, synthesizing customer requirements, and collaborating with engineering teams to ensure efficient implementation of AI-native RAN applications. The ideal candidate will have extensive experience in wireless RAN/baseband architecture or SoC product definition, with a strong understanding of 3GPP RAN standards and L1/PHY algorithms. | Serve | 7 |
| Senior System Software Engineer - Neural Graphics Performance Senior System Software Engineer focused on optimizing neural graphics performance, specifically Gaussian Splatting and neural reconstruction algorithms, for applications in robotics, healthcare, and AV development. The role involves implementing and optimizing reconstruction/rendering algorithms using CUDA and Slang, optimizing data processing pipelines, and influencing software architecture for performance. | ServeData | 7 |
| Senior Manager, AlpaSim and AlpaDreams Production Engineering leader to productize neural simulation technologies (AlpaDreams, AlpaSim) for AV and robotics, building a team and scaling an open-source platform by integrating research findings into a modular, production-ready system. | ShipServe | 7 |
| Senior System Software Engineer - Dynamo-Triton Inference Server Senior System Software Engineer to work on Dynamo-Triton Inference Server, a GPU-accelerated AI inference serving platform. The role involves developing high-performance inference software, contributing to feature development, driving customer adoption, and optimizing throughput and latency for both LLM and non-LLM workloads. | Serve | 7 |
| Senior Software Test Engineer, L3 and L4 - Autonomous Driving Senior Software Test Engineer for L3 and L4 autonomous driving products at NVIDIA. Responsibilities include developing test strategy, defining test plans, formulating test cases, collaborating with stakeholders, leading vehicle integration, and spearheading data triage and root cause analysis. Requires extensive experience in ADAS, system analysis, data analysis, software architecture, and mass-production launches of autonomous driving features, with a strong understanding of functional safety and AV sensor suites. | AgentServe | 7 |
| Senior Software Performance Engineer - AV Platform Senior Software Performance Engineer for Autonomous Vehicles platform, focusing on optimizing latency and throughput of L2/L3/L4 autonomous driving solutions on NVIDIA's heterogeneous hardware architectures. Requires strong C++ skills, parallel programming, performance analysis, and experience with GPGPU/CUDA. | ServeAgent | 7 |
| Senior Solutions Architect - Autonomous Vehicles Senior Solutions Architect role focused on integrating and deploying scalable solutions for autonomous vehicles using NVIDIA's platform. Responsibilities include leading vehicle software integration, driving use case analysis, defining requirements, and optimizing processing pipelines. Requires strong C/C++, Python, system performance evaluation, and experience with automotive design processes and standards. | Ship | 7 |
| Senior AI and ML HPC Cluster Engineer This role focuses on designing, implementing, and managing large-scale GPU compute clusters for AI/ML and HPC workloads. It involves infrastructure engineering, automation, and supporting researchers with performance analysis and optimization. The role requires expertise in cluster management, Linux administration, container technologies, scripting, and MPI workflows. | Serve | 7 |
| Developer Technology Engineer – AI NVIDIA Developer Technology Engineer focused on optimizing deep learning and machine learning workloads on NVIDIA's accelerated computing platform (GPU, CPU, DPU) for key customers. Requires strong C/C++ and CUDA experience, with an MS/PhD in CS or related field. | Serve | 7 |