NVIDIA
- HQ
- California, US
- Founded
- 1993
- Size
- 35,000+
- Website
- nvidia.com
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 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 |
|---|---|---|
| Machine Learning Systems Engineer, Networking Machine Learning Systems Engineer focused on building and optimizing ML algorithms for real-time anomaly detection and health scoring in a large-scale AI data center AIOps platform. The role emphasizes production implementation in systems languages (Go, C/C++, Rust, Scala) for latency-sensitive and resource-constrained environments, processing massive telemetry streams. | 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 Software Engineer, AI Agent Runtime and Open Source Infrastructure Senior Software Engineer to build and implement production-grade features for AI agent runtime and open-source infrastructure, focusing on onboarding, policy controls, inference routing, and sandbox lifecycle. Develop secure agent runtime infrastructure, engage in daily open-source workflows, and diagnose complex failures across various platforms. | Agent | 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 |
| Senior Cloud Software Engineer, Developer Tools Senior Software Engineer to build and improve AI Assisted Developer Tools connected through web APIs, IDEs and agents. Architect cloud solutions leveraging Nvidia microservices and frameworks, integrating deeply with developer workflows to accelerate the full product lifecycle. | ShipAgent | 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 |
| Software Engineer, NVIDIA OpenShell Software Engineer role focused on building a distributed systems platform for autonomous AI agents, including secure sandboxed runtimes, inference routing, and policy enforcement. The role involves full-stack development, network security, and operability. | AgentServe | 7 |
| Senior Manager, Technical Product and Program Management, Planning and Controls - Autonomous Vehicles NVIDIA is seeking a Senior Manager for their Autonomous Vehicles team to lead and grow a team responsible for planning and controls software, from L2 to L4 driving. The role involves hands-on leadership, driving delivery of technology portfolios, and collaborating with internal and external partners to achieve ambitious roadmaps. Requires strong technical skills in robotics motion planning/controls and experience managing technical teams in the AV/robotics domain. | AgentServe | 7 |
| Solution Architect, Urban AI Solution Architect role at NVIDIA, focusing on supporting government clients in adopting AI solutions. The role involves technical consulting, developing AI-enabled plans, assisting with proofs of concept, productization, and advising on delivery. Requires experience in Computer Vision, Deep Learning, or Generative AI, with specific experience in fine-tuning or deploying models and deploying agentic/Gen AI solutions. Hands-on experience with Python, PyTorch, and containers is necessary. | ShipServe | 7 |
| Solutions Architect, OEM AI Solutions Architect role focused on integrating NVIDIA's AI software and tools with OEM partners' offerings, particularly in AI data pipelines and Agentic AI workflows for threat detection. Requires expertise in GPU-accelerated data processing, machine learning, and big data frameworks. | AgentData | 7 |
| Senior Software Engineer— Robotics Platform NVIDIA's Robotics Platform is building the software and hardware systems for intelligent machines, focusing on foundational compute stacks and AI sensor processing frameworks. The role involves designing, building, and optimizing core platform features, developer APIs, reference applications, and tooling for performance, observability, and debugging, with an emphasis on leveraging NVIDIA hardware and using agentic AI for development acceleration. | Agent | 7 |
| Senior Data Scientist, Voice of the Customer - GeForce NOW Senior Data Scientist role focused on building production systems to analyze unstructured customer feedback and telemetry data for root-cause analysis, anomaly detection, and prediction of churn/capacity needs in the GeForce NOW cloud gaming service. The role involves end-to-end data product lifecycle, from data pipelines to algorithm deployment and system ownership. | AgentData | 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 Developer Relations Manager NVIDIA is seeking a Senior Developer Relations Manager to engage with the China industrial and research community, focusing on integrating GPU-accelerated computing solutions, particularly in Generative AI, Agentic AI, and AI Storage. The role involves understanding community requirements, promoting NVIDIA tools, architecting solutions, and driving adoption of new products within the AI storage ecosystem. | ServeAgent | 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 |
| Solution Architect, Financial Services NVIDIA is seeking a Solutions Architect for Financial Services to act as a trusted technical advisor to customers, enabling their productivity and driving adoption of NVIDIA's AI technologies. The role involves working with financial institutions, providing technical guidance, developing solution prototypes, and staying updated on industry trends. Requires a BS/MS/PhD in a technical field, 5+ years of AI experience, financial services background, and expertise in coding for NVIDIA GPUs. | Serve | 7 |
| Solution Architect, Energy Solution Architect with deep expertise in AI solutions for the Energy Industry, focusing on efficient use of compute platforms. The role involves being a trusted technical advisor, embedding NVIDIA software into customer architectures, improving application performance, and establishing foundations for next-gen AI systems. Responsibilities include supporting business development, working directly with developers and customers, analyzing architectures for acceleration, providing feedback to engineering/product/research, and delivering trainings/hackathons. | 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 |
| Director, Software Engineering Director of Software Engineering at NVIDIA to lead a team building employee-facing AI products, focusing on AI-first experiences and leveraging AI agents. | Agent | 7 |
| Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026 NVIDIA is seeking engineers to develop algorithms and optimizations for their LPX inference and compiler stack, working at the intersection of large-scale systems, compilers, and deep learning to optimize how neural network workloads map onto future NVIDIA platforms. | Serve | 7 |
| Manager, Systems Software Engineering - NVLink and AI Manager for a Systems Software Engineering team focused on NVLink and AI, developing solutions for data center platforms and debugging complex issues using LLMs and agentic AI. | Agent | 7 |
| Senior Software Developer Senior Software Developer to work on an open-source AI networking acceleration library, focusing on performance-oriented low-level infrastructure for inference, utilizing hardware offloads, GPU Kernels, and RDMA. Requires strong C++/C/Rust, Linux, and networking stack knowledge, with advantages in LLM inference, distributed storage, Linux internals, CUDA, and parallel programming. | Serve | 7 |
| Senior AI Frameworks Engineer NVIDIA is seeking a Senior AI Frameworks Engineer to contribute to the CUTLASS project, focusing on developing a Pythonic interface for high-performance GPU computations. The role involves designing APIs, building compilation infrastructure, optimizing developer experience, and managing production-grade delivery for the open-source community. | Serve | 7 |
| Senior Software AI Engineer, LLM Solutions Senior Software AI Engineer to architect, develop, and support end-to-end software tools, focusing on integrating AI/ML solutions and agentic workflows into production systems for hardware platforms. Responsibilities include backend services, data pipelines, and user interfaces, with an emphasis on autonomous reasoning and action. | 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 |
| Senior Solutions Architect, Edge AI and Professional Visualization NVIDIA is seeking a Senior Solutions Architect with expertise in AI and professional graphics workflows to support key customers and partners. The role involves understanding customer needs, guiding them to optimal NVIDIA hardware and software solutions, and contributing to knowledge sharing through demos, proof-of-concepts, and technical writing. The position requires strong foundational knowledge in computer science or hardware engineering, extensive software development experience, and familiarity with AI workflows, CUDA, and agentic AI. | Agent | 7 |
| Manager, Next-Generation AI Cluster Architecture Manager for Next-Generation AI Cluster Architecture at NVIDIA, focusing on developing and leading teams to build large-scale AI supercomputing systems, including GPU cluster architectures, networking, and system software. The role involves authoring reference architectures and collaborating on system bring-up and integration. | ServeAgent | 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 |
| Open Source Sustainability Program Manager NVIDIA is seeking an AI-first Program Manager to lead and expand its Sustainability Series. This role involves developing and overseeing AI agents and automated workflows for program operations, including research, reporting, and partner intelligence. The position also includes managing the FOSS Fund and Contribution Sprint programs, with a focus on scaling these initiatives through AI-driven automation and system building. | Agent | 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 |
| Senior AI Compiler Engineer, Algorithms and Code-Generation NVIDIA is seeking a Senior AI Compiler Engineer to develop compiler optimization algorithms for AI workloads, focusing on delivering leading inference performance on GPUs. The role involves analyzing deep learning networks, optimizing compiler techniques, and working with CUDA and various compiler technologies. | Serve | 7 |
| Senior Software Engineer - AI Research Clusters Senior Software Engineer to build and maintain GPU clusters for internal AI researchers, focusing on reliability, performance, and self-service. The role involves engineering solutions for cluster validation, monitoring, and operation, with an emphasis on AIOps and Agentic AI to reduce operational toil. | Serve | 7 |
| Senior Software Engineer, Test - Autonomous Vehicles NVIDIA is seeking a Senior Software Engineer, Test for their Autonomous Vehicles team. The role involves developing and productizing autonomous vehicle solutions, focusing on building and scaling simulation environments for evaluating vehicle performance. The engineer will lead efforts in automating simulation tests, developing reliable infrastructure, and analyzing complex technical issues. Experience with ADAS, Autonomous Driving, Replay testing, or Simulation environments is required, along with strong Python/C++ skills. Experience with AI/ML systems or robotics simulation is a plus. | Agent | 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 Deep Learning Compiler Verification Engineer NVIDIA is seeking a Senior Deep Learning Compiler Verification Engineer to design and build systems for verifying correctness in deep learning compilers, focusing on graph transformations, IR lowering, and GPU execution. The role involves analyzing and validating optimizations, engineering test generation systems using deep learning solutions, and defining quality metrics for evolving models, compiler stacks, and hardware. | Serve | 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 |
| Senior Solutions Architect, AI Infrastructure Senior Solutions Architect role at NVIDIA focused on architecting and scaling AI infrastructure, particularly GPU-based systems for deep learning inference, for customers. The role involves technical customer engagement, supporting sales, and providing onsite support. | Serve | 7 |