NVIDIA currently has 496 active AI-related job listings. The majority of these roles, 52%, are focused on serving infrastructure, with agents representing another significant segment at 23%. Engineering is the dominant function, with 441 positions. The United States leads hiring geographies with 287 roles, followed by China with 64. Frequent tech tags include model_serving, inference_infra, and agent_orchestration, suggesting a focus on deployment and management of AI models. Over the last 30 days, NVIDIA posted 214 new AI roles, a 27% decrease compared to the previous 30-day period.
Currently tracking 440 active AI roles, down 50% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$575k (avg $262k).
NVIDIA currently has 487 active AI-related roles in our index. The most common open titles are: Deep Learning Performance Architect (4), Senior Deep Learning Performance Architect (4), AI Research Scientist (3), Developer Technology Engineer - AI (3), Manager, Deep Learning Algorithms (3). Most positions are in Engineering and Research.
NVIDIA's active AI hiring is concentrated in: serving infrastructure (54%), agents (21%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
NVIDIA is hiring AI talent in: United States (286 roles), China (59 roles), Israel (50 roles), Germany (21 roles).
Job postings at NVIDIA most frequently reference: model serving, inference infra, agent orchestration, llm observability, multimodal.
In the past 30 days, NVIDIA has posted 110 new AI-related roles. That is a -50% change versus the prior 30 days (218 → 110).
| Title | Stage | AI score |
|---|---|---|
| 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 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. |
| 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 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 |
| 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 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 |
| Manager, Software Architecture Manager for a systems and networking engineering team focused on building distributed AI communication systems (libraries, frameworks, system integrations) for GPUs, nodes, and storage. The role involves setting technical direction, leading execution, and fostering technical excellence within the team, with a focus on AI infrastructure problems. | Serve | 7 |
| Senior Formal Verification Engineer, GPU Kernels Senior Formal Verification Engineer for GPU Kernels at NVIDIA. The role focuses on developing verification tools that combine formal methods and AI to ensure the correctness of performance-critical GPU kernels, enabling their use in safety-critical systems. Responsibilities include designing and implementing new verification approaches, integrating AI into formal verification workflows, and building agents for task automation. | AgentServe | 7 |
| Principal Cyber Security Engineer - Agentic Identity and Security This Principal Cyber Security Engineer role focuses on building core agentic identity and security capabilities for AI agents within NVIDIA's internal ecosystem. The role involves architecting and prototyping solutions for agent use cases across various environments, developing reusable tools and APIs, and collaborating with multiple teams to ensure secure and reliable agent operations. It requires strong software engineering, security, and identity expertise, with an emphasis on practical, production-ready systems. | Agent | 7 |
| Principal Software Engineering Lead — Enterprise Data Platforms Principal Software Engineer to lead engineering efforts in transforming enterprise systems with AI-infused automated solutions. This role involves architecting and delivering enterprise-grade AI applications and workflow platforms, building resilient end-to-end systems, and developing data integration capabilities for AI applications. Key responsibilities include building agentic workflow automation, defining agent interactions, and supporting orchestration patterns using frameworks like LangChain and LangGraph, while also operationalizing NVIDIA AI technologies. | AgentData | 7 |
| Senior Software Architect, AI Systems and Networking This role focuses on building and optimizing systems-level software for high-performance communication and memory management libraries essential for distributed AI workloads. It involves hardware-software co-optimization, profiling data movement, and integrating networking capabilities into AI serving stacks, bridging applied research and production engineering. | Serve | 7 |
| Senior Software Engineer, Humanoid Robotics Senior Software Engineer role focused on shaping the future of autonomous machines and building/deploying scalable robotic solutions, with a focus on humanoid robotics. Responsibilities include crafting application software architecture, scaling deployment of new technologies, integrating hardware/software, and providing technical guidance. Requires experience in robotics, ML/RL, and software development, with a strong plus for GPU programming/CUDA and sim-to-real transfer. | ShipAgent | 7 |
| Senior Data Analysis Engineer, AD Metrics - Autonomous Vehicles Senior Data Analysis Engineer role focused on critical metrics for autonomous driving (AD) products. The role involves defining performance, supervising test events, analyzing trends, improving triage efficiency, and automating metric generation for dashboards. It requires strong technical ability, scripting experience, and leadership to support AV software development and release. | Ship | 7 |
| Deep Learning Kernel Software Performance Architect - New College Grad 2026 NVIDIA is seeking a Deep Learning Kernel Software Performance Architect to develop and analyze processor and system architectures that accelerate machine learning and data analytics applications. The role involves debugging deep learning software, developing analysis tools, and collaborating with various NVIDIA teams to optimize performance. | Serve | 7 |
| Senior Software Triage Engineer - Autonomous Vehicles Senior Software Triage Engineer for Autonomous Vehicles at NVIDIA, focusing on debugging, root cause analysis, and improving the quality of AV software through triage and evaluation. | Ship | 7 |
| Senior Manager, Site Reliability Engineering Senior Manager of Site Reliability Engineering to lead and reshape IT operations at scale, building AI-powered systems for reliability, speed, and employee experience. Focuses on transforming Incident, Problem, and Change Management using observability, AI insights, and orchestration to move towards predictive and autonomous operations. | Serve | 7 |
| Senior Software Engineer - Autonomous Vehicles Senior Software Engineer for Autonomous Vehicles at NVIDIA, focusing on integrating ML and classical trajectory planners within a safety-oriented framework for SAE Level 3/4 autonomy. The role involves architectural work, establishing safety frameworks, building minimum-risk planning, and designing scalable architectures for self-driving products. | ShipAgent | 7 |
| Senior Software Systems Engineer, L3 and L4 - Autonomous Driving Senior Software Systems Engineer role focused on L3 and L4 autonomous driving products at NVIDIA. Responsibilities include developing use cases, system requirements, performance analysis, formulating test cases, and defining test strategies. Requires strong experience in safety-critical systems engineering, SOTIF, functional safety, and understanding trade-offs between deep learning and classical approaches. | AgentServe | 7 |
| Senior Software Engineer, Parking - Autonomous Vehicles Senior Software Engineer for NVIDIA's Autonomous Vehicles team, focusing on building groundbreaking technology at the intersection of automotive and robotics for parking and driving features. The role involves designing and implementing planning algorithms in C++ and supporting deployment on test vehicles. | Agent | 7 |
| Lead Safety Architect - Autonomous Vehicles Lead Safety Architect for NVIDIA's autonomous vehicle technology, focusing on integrating safety measures into DRIVE products and ensuring safety at scale. This role involves defining safety architecture, requirements, and metrics, and improving processes for safety analysis and data-driven evaluation. | ShipEval Gate | 7 |
| Senior Software Engineer, Machine Learning Inference Senior Software Engineer role focused on designing and implementing inference software optimizations for NVIDIA TensorRT and TensorRT-LLM to accelerate AI applications on NVIDIA GPUs. Involves C++, Python, and CUDA development, collaboration with AI experts, and optimization of deep learning frameworks and compilers. | Serve | 7 |
| Senior Math Libraries Engineer - Sparsity in AI Software engineer to design and develop C++ libraries and tools for unstructured sparsity in Deep Learning (DL) and High-Performance Computing (HPC) on NVIDIA GPUs. This involves DSL specifications, on-demand code generation, and enabling the system in Python/PyTorch. The role focuses on performance evaluation, library quality, and collaboration with product management. | Serve | 7 |
| Senior Software Engineer, JAX Senior Software Engineer focused on performance optimizations for JAX, a deep learning framework, to build a scalable platform for data, training, and analysis. The role involves developing core JAX components, working with AI researchers, and building tools to improve AI system development efficiency. | Serve | 7 |
| Senior AI and FSI Developer Technology Engineer Senior AI and FSI Developer Technology Engineer at NVIDIA focused on optimizing AI and HPC workloads on NVIDIA CPUs and GPUs for the financial services industry. The role involves researching, designing, and developing techniques to accelerate these workloads, profiling and eliminating performance bottlenecks, and collaborating with internal and external experts to influence future hardware and software designs. The engineer will also publish and present their work. | Serve | 7 |
| Senior Architecture Energy Modeling Engineer NVIDIA is seeking a Senior Architecture Energy Modeling Engineer to develop and deploy methodologies for energy-efficient products, focusing on building Machine Learning based power models for GPUs, CPUs, and Tegra SOCs. The role involves collaborating with various engineering teams to analyze and reduce power consumption, improve model accuracy, and integrate power models into simulation platforms. | Data | 7 |
| Autonomous Agent Engineer NVIDIA is seeking an Autonomous Agent Engineer to build the infrastructure for secure and autonomous AI agent execution. This role involves designing and shipping SDKs, CLIs, and developer tooling for sandboxed compute environments, state management, and security boundaries for AI agents. The position requires strong systems engineering skills, experience with distributed systems and developer platforms, and proficiency in languages like Python or Go. Experience with agentic AI systems, sandboxing technologies, and security fundamentals is highly desirable. | AgentServe | 7 |
| Senior Software Engineer - NIM Factory Container and Cloud Infrastructure Senior Software Engineer role focused on container and cloud infrastructure for NVIDIA Inference Microservices (NIMs) and hosted services. The role involves designing and implementing container strategies, building enterprise-grade software for container build, packaging, and deployment, and improving reliability, performance, and scale across thousands of GPUs, with a focus on disaggregated LLM inference. | Serve | 7 |
| Senior Math Libraries Engineer – AI and HPC Senior engineer to join NVIDIA's Math Libraries team, focusing on kernel generation for AI and HPC, specifically matrix operations, JITing, and fusions. The role involves designing and implementing high-performance numerical dense linear algebra software on GPUs, providing technical leadership, and collaborating with product management. | Serve | 7 |
| Senior Manager, Software Engineering - Agentic Automation Senior Manager, Software Engineering at NVIDIA focused on leading a team to design and deliver enterprise-grade agentic AI solutions, including LLM-based agents, RAG, and orchestration, with a strong emphasis on full-stack ownership, automation, and roadmap definition. | AgentServe | 7 |
| Senior Manager, GPU Cloud Infrastructure - GeForce NOW Senior Manager to lead the design, scaling, and operations of high-performance networking for GPU-based cloud infrastructure, critical for cloud gaming, AI/ML training, and inference platforms. | Serve | 7 |
| Principal Software Engineer — Agentic AI Applications and Foundations Principal Software Engineer to lead the development and hardening of agentic AI applications and infrastructure within NVIDIA's Enterprise AI team. This role focuses on improving reliability, performance, and scalability of AI products, designing resilient systems, establishing operational excellence, and building reusable capabilities for agent domains. The position requires deep expertise in production software systems, full-stack development, and modern AI application patterns, with a strong emphasis on turning prototypes into mature, well-operated production systems. | Agent | 7 |
| Senior Staff AI Platform Engineer Senior Staff AI Platform Engineer at NVIDIA responsible for building, supporting, and maintaining AI-native infrastructure for enterprise products. This role involves architecting and scaling LLM/ML infrastructure, designing observability for AI models, developing automation, and troubleshooting complex distributed systems. The engineer will also drive AI-assisted engineering practices and partner with product teams to deliver scalable AI solutions. | ServeAgent | 7 |
| Senior Manager, Machine Learning Ops Engineering - Automotive Senior Manager, Machine Learning Ops Engineering - Automotive at NVIDIA, leading the development and operation of large-scale data and ML pipelines for autonomous driving, focusing on data ingestion, processing, and validation for training and evaluation datasets. | DataEval Gate | 7 |
| Senior Software Engineer, Deep Learning Inference - Automotive Safety Senior Software Engineer focused on developing high-performance deep learning inference software for safety-critical automotive applications using C++. The role involves integrating hardware functionalities into TensorRT, optimizing performance, and ensuring rigorous safety validation and documentation. | Serve | 7 |
| Senior Software Engineer, Deep Learning Inference - TensorRT NVIDIA is seeking a Senior Software Engineer to develop and scale a state-of-the-art inference framework for accelerating Deep Learning models, particularly LLMs, on NVIDIA GPUs using TensorRT. The role involves crafting inferencing software, developing components of TensorRT, and optimizing the deployment of trained models using C++ and Python. | Serve | 7 |
| Senior MLOps Engineer, GenAI Framework This role focuses on building and maintaining CI/CD pipelines and release processes for NVIDIA's GenAI frameworks (Megatron-LM, NeMo). It involves implementing scalable DevOps solutions, managing infrastructure (Kubernetes, Docker, Slurm), automating tasks for research and development cycles, and developing quality control measures. The goal is to enable efficient work for GenAI software engineers, DL algorithm engineers, and research scientists, optimizing performance and ensuring high-quality software delivery. | Serve | 7 |
| Senior QA Automation Engineer — Network AI Platform Senior QA Automation Engineer for NVIDIA's Network AI platform team, focusing on testing AI/ML-powered network solutions, including AI algorithms and multi-cloud integrations for enterprise-scale network monitoring and automation. Requires strong Python automation, networking knowledge, and experience with API and system testing. | Ship | 7 |
| Senior Systems Performance Engineer Senior Systems Performance Engineer at NVIDIA focused on validating and optimizing GPU accelerated computing products, specifically for Deep Learning/AI applications. The role involves system architecture, performance modeling, and developing stress/performance testing strategies for ML/LLM workloads. | Serve | 7 |
| Manager, Solution Engineering for NVIDIA Experience Manager for a solution engineering team focused on customer support of NVIDIA software products (AI Enterprise, Omniverse, vGPU). The team will use AI to triage customer issues, identify solutions, and improve processes. Requires leadership, problem-solving, and AI/ML expertise. | AgentServe | 7 |
| Senior Software Engineer - NIM Platform SDK and Framework Senior Software Engineer to own and evolve the core NIM Platform SDK and microservice framework, powering NVIDIA Inferencing Microservices (NIM). Focus on high-performance systems programming, multi-cloud abstractions, and API framework development for production-ready AI inference at scale. | Serve | 7 |
| Senior Architect, AI Solutions Engineering This role focuses on architecting and scaling internal AI solutions for NVIDIA's cloud infrastructure, managing tools for AI development, identifying performance bottlenecks, and guiding engineers in solving complex AI-related problems. The role involves a mix of building AI agentic workflows and optimizing the underlying inference infrastructure. | AgentServe | 7 |
| Senior Software R&D Engineer, Digital Logic Synthesis NVIDIA is seeking an EDA Software R&D Engineer to develop internal EDA tools by fusing advances in parallel computing, machine learning, and novel algorithms in C++. The role involves inventing and developing new algorithms for RTL synthesis, digital logic optimization, and physical-aware synthesis techniques, with a focus on prototyping and evaluating ML methods to guide optimization decisions and integrating successful approaches into production. | Serve | 7 |
| Senior ASIC Methodology Engineer - LPU Division This role focuses on inventing and pioneering AI-driven hardware development methodologies for ASICs, aiming to improve predictability, convergence, and turnaround time in the ASIC development lifecycle. The engineer will leverage data to enable AI models and analytics, establish metrics for improvement, share best practices, and track advances in AI, EDA, and hardware design research. | Serve | 7 |