NVIDIA
- HQ
- California, US
- Founded
- 1993
- Size
- 35,000+
- Website
- nvidia.com
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 53% 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 |
|---|---|---|
| Senior ASIC AI Engineer Develop AI powered methodologies and Agents to generate micro-architecture, RTL, and physical design starting with specification, using AI agents to process large data and existing codebase to generate skills that can be widely used. Evaluate latest Multi-agent collaboration frameworks and apply them to generate area/power/timing/functionally accurate designs for memory system units in the GPU. | Agent | 8 |
| Deep Learning Computer Architect - New College Grad 2026 NVIDIA is seeking a Deep Learning Computer Architect to design hardware accelerator and processor architectures for next-generation platforms, enabling state-of-the-art machine learning and data analytics. The role involves analyzing DL methods, proposing new features for acceleration, and studying their benefits, with a focus on LLM workloads and deep learning kernels. | Serve |
| 8 |
| Engineering Manager, Inference Benchmarking — AI Perf Engineering Manager for NVIDIA's AIPerf platform, a standard for assessing LLM serving performance. The role involves leading a team to build and advance the platform, focusing on core infrastructure, accuracy of benchmark results, and advising on upstream engine integrations for various AI workloads (LLM, multimodal, diffusion, computer vision). Requires strong systems engineering, inference infrastructure, and open-source community experience. | Serve | 8 |
| GPU Performance Engineer - Neural Reconstruction GPU Performance Engineer focused on optimizing neural reconstruction and Gaussian Splatting workloads. This role involves profiling, identifying bottlenecks, and improving performance in CUDA, PyTorch, and C++ for training and rendering, while ensuring reconstruction quality is maintained. It requires strong programming, GPU optimization, and performance analysis skills, with collaboration across research and engineering teams. | ServeData | 8 |
| Principal Machine Learning Engineer, Accelerated Apache Spark This role focuses on applying ML/AI to optimize and accelerate Apache Spark workloads on NVIDIA GPUs, involving performance prediction, adaptive systems, and developing AI agents for system issue resolution and optimization. The role requires significant experience in ML/DL solution design, productionization, and large-scale data processing platforms like Spark, with a focus on LLM/GenAI, reinforcement learning, and adaptive ML systems. | AgentServe | 8 |
| Senior AI Infrastructure Software Engineer - DGX Cloud NVIDIA is seeking a Senior AI Infrastructure Software Engineer to design, build, and maintain AI platforms for large-scale AI training, inferencing, fine-tuning, and Agentic AI in production. The role involves developing platform and tools for AI/ML workload efficiency, resiliency, and observability, with a focus on distributed systems and Kubernetes. | Serve | 8 |
| Senior Engineer - AI Agents and Systems Senior Engineer role focused on deploying advanced AI agent frameworks and local runtimes to Windows and NVIDIA GeForce RTX GPUs, ensuring open-source AI agents run locally, safely, and efficiently on consumer PCs, and creating the foundation of the desktop AI operating system. | Agent | 8 |
| Senior Engineer - AI Agents and Systems Senior Engineer role focused on deploying advanced AI agent frameworks and local runtimes to Windows and NVIDIA GeForce RTX GPUs, ensuring open-source AI agents run locally, safely, and efficiently on consumer PCs. The role involves leading development for the foundation of the desktop AI operating system by combining local inference with robust privacy routers and sandboxed execution. | Agent | 8 |
| Senior Performance Compiler Engineer - Triton Senior Performance Compiler Engineer to work on the open-source Triton compiler project, focusing on using compilers to improve AI performance on NVIDIA GPUs for large language models, agents, and other AI applications. The role involves investigating GPU hardware, designing and implementing compiler technology using MLIR to optimize kernel descriptions for efficient GPU code generation, and collaborating with internal teams. | Serve | 8 |
| Senior Systems Engineer, Neural Graphics Senior Systems Engineer role focused on integrating AI and traditional rendering techniques for real-time visual experiences. The role involves taking innovative techniques like AlpaDreams and driving them into production-ready, real-time pipelines, owning the end-to-end path from prototype to shipping product, and solving complex systems challenges related to latency, memory, and throughput. Requires deep expertise in graphics and AI, with a strong track record of shipping impactful products and experience with systems-level thinking. | ShipAgent | 8 |
| Senior GPU System Architect Seeking a Senior GPU System Architect to design multi-GPU scale-up and scale-out systems for AI and HPC datacenters. The role involves defining system architectures that integrate GPU compute, memory, and interconnects for optimal AI performance and scalability. Requires deep experience in system-level fabric/networking architecture and hardware-software co-design. | Serve | 8 |
| Senior Research Engineer, Robotics Systems Senior/Principal Engineer in robotics systems, focusing on foundation models and full-stack technology for humanoid robots. Responsibilities include designing teleoperation software, optimizing control stacks, deploying neural network models on hardware, and collaborating on the MLOps lifecycle. Requires strong robotics and software engineering background, with experience in real-time control and deploying ML models on robotic hardware. | ShipData | 8 |
| Senior Perception Engineer - Autonomous Vehicles Senior Perception Engineer at NVIDIA focused on developing and productizing autonomous driving solutions using deep learning and multi-sensor fusion. The role involves applied research, algorithm development, and ensuring solutions meet production requirements for safety, latency, and robustness. | ShipPost-train | 8 |
| Senior Deep Learning Performance Architect Senior Deep Learning Performance Architect at NVIDIA to design and evaluate hardware architectures for AI/HPC applications, focusing on LLM inference and training performance, and optimizing system bottlenecks. | ServePost-train | 8 |
| Senior Data Center Performance Engineer - Benchmarking and Optimization Senior Data Center Performance Engineer at NVIDIA focused on benchmarking and optimizing data center platforms for AI training, inference, and HPC workloads. Responsibilities include designing benchmarks, characterizing workloads, identifying bottlenecks, and driving performance improvements through system tuning and architectural recommendations. | Serve | 8 |
| NCX Engineer, AI Accelerator This role focuses on engineering and deploying AI infrastructure and solutions for strategic customers, optimizing large-scale training and inference workloads on NVIDIA's AI platform. It involves MLOps, Kubernetes, GPU scheduling, and performance tuning, with a strong emphasis on customer-facing technical support and collaboration. | ServePost-train | 8 |
| Senior Deep Learning Framework Communications Engineer Senior Deep Learning Framework Communications Engineer at NVIDIA, focusing on integrating and optimizing communication libraries (NCCL, NVSHMEM) within AI frameworks (PyTorch, TRT-LLM, vLLM, JAX) to enhance performance for large-scale AI training and inference. The role involves deep analysis of AI workloads, compiler improvements, and kernel authoring for multi-GPU systems. | Serve | 8 |
| Senior Scientific Machine Learning Engineer – Earth-2 Develops and enhances machine learning frameworks (NVIDIA PhysicsNeMo, NVIDIA Earth2Studio) for scientific ML technology in weather, climate, and earth system modeling. Focuses on implementing new deep learning techniques and enhancing Earth-2 technologies. | Post-train | 8 |
| Director, System Software Engineering - Metropolis Accelerated and Inferencing Software NVIDIA is seeking a Director of System Software Engineering to lead teams responsible for the full lifecycle of Vision AI strategy, from model onboarding to production deployment. The role focuses on transforming foundation models into real-time, GPU-accelerated video intelligence systems, scaling multimodal reasoning, and enabling agentic development workflows. Key responsibilities include architecting and operationalizing inference acceleration, driving implementations of frameworks like TensorRT and VLLM, collaborating with partners on custom models, and ensuring performance benchmarking. The ideal candidate has extensive experience in deep learning, GPU optimization, and leading engineering teams in embedded and enterprise platforms. | ServeAgent | 8 |
| Director, Isaac for Healthcare Engineering Director of Engineering for NVIDIA's Isaac for Healthcare initiative, focusing on building a platform for healthcare robotics companies to develop, simulate, train, and deploy physical AI systems. The role involves platform leadership, team building, partner enablement, technical strategy, and cross-functional collaboration, with a strong emphasis on shipping sophisticated software platforms at scale. | ShipData | 8 |
| Manager, Solutions Architecture - Global Partner Team Manager of Solutions Architecture for NVIDIA's Global Partner Team, focusing on leading technical engagements with GSIs and AI consulting firms. The role involves building and scaling Agentic AI services, providing architectural oversight for complex AI workflows, and collaborating with product and engineering teams. Requires deep technical expertise in Generative/Agentic AI, RAG, LLM orchestration, and AI infrastructure. | Agent | 8 |
| Senior Software Architect - Deep Learning and HPC Communications Senior Software Architect role at NVIDIA focused on designing and implementing next-generation data center platforms and scalable communication software for AI and HPC workloads. The role involves investigating performance bottlenecks, developing new communication technologies, exploring hardware/software co-design, and building proofs-of-concept to drive innovation in large-scale GPU clusters. | Serve | 8 |
| Senior Software Engineer - VLM Microservices for Neural Reconstruction Senior Software Engineer to design, build, and optimize containerized inference execution for 3D Vision Language Models (VLMs) for neural reconstruction, turning research into production-grade software (NIMs). The role involves developing benchmarks, releasing and maintaining models, contributing to open-source projects like vLLM, and collaborating with research and product teams. Requires experience with AI distributed systems, inference platforms, Python/C++, and software engineering fundamentals. | ServePost-train | 8 |
| Senior Applied Machine Learning Engineer - VLSI Design NVIDIA is seeking a Senior Applied Machine Learning Engineer to build AI-driven software systems for circuit design, combining automation algorithms, DL models, and agentic workflows. The role involves working on pre-silicon and post-silicon hardware design data, circuit optimization, and AI systems for EDA/design automation, translating requirements into AI/ML and agentic system problems, and testing/releasing models and AI systems. | AgentData | 8 |
| Applied Machine Learning Engineer, Circuit Design - New College Grad 2026 NVIDIA is seeking an Applied Machine Learning Engineer for their Circuit Design team, focusing on building AI-driven software systems that combine automation algorithms, DL models, and agentic workflows to accelerate end-to-end circuit design. The role involves working with hardware design data, circuit optimization, and developing AI/ML solutions for EDA, with a focus on agent-driven design exploration and optimization. | Agent | 8 |
| Principal AI and ML Infra Software Engineer, GPU Clusters This role focuses on enhancing the efficiency of AI and ML research on GPU clusters by collaborating with researchers to identify and address infrastructure deficiencies. The engineer will optimize performance, monitor resource utilization, and contribute to the AI/ML infrastructure ecosystem, keeping up-to-date with the latest AI/ML technologies. | Serve | 8 |
| Senior Deep Learning Software Engineer - Autonomous Vehicles Senior Deep Learning Software Engineer focused on developing and productizing deep learning solutions for autonomous vehicles. The role involves training, fine-tuning, optimizing perception DNNs, applying quantization, improving DNN architectures, and enhancing inference speed and power consumption. It requires strong programming skills, experience with deep learning frameworks, computer vision tasks, and familiarity with CNNs and Transformer architectures. Experience with low precision inference, quantization, and NVIDIA software libraries is a plus. | ServePost-train | 8 |
| Compiler Engineer - AI Inference NVIDIA is seeking an AI Compiler Engineer to optimize kernel generation and computational graph optimizations for AI inference and training workloads on next-generation GPUs. The role involves hands-on development, collaboration on hardware/software co-design, and scaling AI deployments in datacenters. | ServePost-train | 8 |
| Senior Software Engineer, Metropolis Vision AI Senior Software Engineer to develop and optimize high-performance Vision AI pipelines and large-scale distributed services for processing video, image, and 3D data. The role involves crafting real-time systems, developing multi-modal perception, using simulation/synthetic data, and profiling/tuning GPU-accelerated inference pipelines. Collaboration with research and platform teams is key, with an emphasis on bringing research into production at scale. | ServePost-train | 8 |
| Senior Software Engineer, AI Networking Senior Software Engineer role focused on building and productizing ML tools for optimizing AI workloads (LLM training/inference) across GPU/CPU clusters, with a focus on networking and system resource utilization. Involves distributed deep learning, ML-based optimization techniques, and performance analysis. | ServeAgent | 8 |
| Senior AI-Native Systems Software Engineer, TensorRT Senior engineer to architect and build an AI-native framework using AI agents for software development, focusing on scaling, performance optimization, and integrating SOTA models for inference. | AgentServe | 8 |
| Senior Staff Software Engineer - Agentic Automation Senior Staff Software Engineer to own engineering efforts for NVIDIA enterprise systems, transforming support into AI-infused automated resolution systems using LLM-based agents, tool calling, RAG, and orchestration frameworks. Requires full-stack experience, strong systems thinking, and incident management skills. | Agent | 8 |
| Principal Deep Learning Communication Architect NVIDIA is seeking a Principal Deep Learning Communication Architect to lead the technical roadmap for communication libraries across next-generation platforms, ensuring seamless scaling of models to massive clusters. The role involves designing and optimizing communication primitives for heterogeneous interconnects, co-designing with application developers and silicon architects, and developing analytical models for system behavior. Expertise in parallel computing, HPC/distributed deep learning, inference engines, and GPU architecture is required. | ServeAgent | 8 |
| Senior Architect NVIDIA is seeking a Senior Architect to lead the development of software infrastructure for AI-driven scientific discovery in chemistry and materials science. The role involves shaping NVIDIA ALCHEMI and its ecosystem, translating AI research (ML interatomic potentials, generative modeling) into product direction, and engaging with internal/external stakeholders. The ideal candidate has a PhD or equivalent experience, 8+ years of AI/ML software development for chemistry/materials, strong GPU computing and ML framework experience, and expertise in scientific software architecture. | Ship | 8 |
| Senior Integration Engineer - Autonomous Vehicles NVIDIA is seeking a Senior Integration Engineer to work on their end-to-end autonomous driving application, focusing on integrating modular software components and optimizing performance on heterogeneous hardware architectures. The role involves defining software architecture for L2/L3/L4 autonomous driving solutions, performing in-vehicle and simulation testing, and developing efficient C++ code using CUDA. | Agent | 8 |
| Senior Integration Engineer - Autonomous Vehicles Senior Integration Engineer for NVIDIA's end-to-end autonomous driving application, focusing on integrating software components, optimizing performance, and developing efficient C++ code on heterogeneous hardware architectures (including GPUs) for L2/L3/L4 autonomous driving solutions. | AgentServe | 8 |
| AI and FSI Developer Technology Engineer - New College Grad 2026 NVIDIA is seeking an AI and FSI Developer Technology Engineer to optimize AI and HPC workloads on NVIDIA GPUs and CPUs, focusing on performance tuning and eliminating bottlenecks for financial markets. The role involves research, development, analysis, and collaboration with experts to improve performance across the stack, from algorithms to kernels. The engineer will also publish and present their work and influence future hardware/software designs. | Serve | 8 |
| Principal Software Engineer - Enterprise AI Platform Principal Software Engineer to lead security foundations for autonomous, self-evolving agents in an enterprise setting. This role involves defining security requirements, designing scalable architectures with guardrails, implementing isolation and access controls, building secure data access pathways, establishing observability and auditing, and operating a continuous evaluation framework for agent behavior. The goal is to enable developer velocity while ensuring robust safety and security for agents that generate and execute code and access data. | Agent | 8 |
| Senior Machine Learning Applications and Compiler Engineer, LPX Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, focusing on mapping neural network workloads onto future NVIDIA platforms and optimizing end-to-end inference performance. Requires strong software engineering, compiler/runtime development, and deep learning framework experience. | Serve | 8 |
| Senior Software Engineer – TensorRT Edge-LLM Senior Software Engineer to develop and optimize a state-of-the-art inference framework for Large Language, Vision-Language, and Multimodal models on edge and embedded platforms, focusing on real-time performance and constrained environments. | Serve | 8 |
| Senior Performance Engineer - Deep Learning Senior Performance Engineer at NVIDIA focused on optimizing Deep Learning models and frameworks (PyTorch, JAX) for NVIDIA GPUs. The role involves building and supporting Transformer Engine, collaborating on systems research for performance improvements, implementing and benchmarking new DL models, contributing to MLPerf, and engaging with the open-source community and enterprise customers. It also involves influencing future hardware and software design. | ServePost-train | 8 |
| Senior Software Engineer, Quantized Inference Senior Software Engineer focused on optimizing quantized inference for LLMs by implementing recipes, developing kernels, and collaborating on inference engines like vLLM and TRT-LLM. The role involves model export pipelines, benchmarking, and data analysis tooling. | Serve | 8 |
| Senior Compiler Engineer, AI Inference Platforms NVIDIA is seeking a Senior Compiler Engineer to join its Deep Learning & AI Compiler (DLC) team. The role involves analyzing deep learning networks, developing compiler optimization algorithms, and collaborating with framework and architecture teams to accelerate AI inference performance on NVIDIA GPUs. The compiler is critical for data centers, personal devices, automotive, and robotics, focusing on inference performance, build time, memory footprints, and ease of use. | Serve | 8 |
| Research Scientist, Security and Privacy - PhD New College Grad 2026 Research Scientist focused on security and privacy for AI systems, aiming to develop hardware, software, and algorithms for trustworthy AI with verifiable protection. Requires a PhD and expertise in areas like computer architecture, programming languages, applied cryptography, or AI/ML algorithms, with a strong publication record. | Post-train | 8 |
| AI Chip Design Engineer - New College Grad 2026 NVIDIA is seeking an AI Chip Design Engineer to develop and integrate AI capabilities into verification tasks. The role involves creating AI agents to enhance productivity, building production infrastructure for these agents, and optimizing algorithms for enterprise data. Requires strong proficiency in LLM libraries, GPU/CPU architectures, and HW verification methodologies. | Agent | 8 |
| Senior AI Performance and Efficiency Engineer Senior AI/ML Performance and Efficiency Engineer focused on optimizing GPU cluster performance for AI/ML researchers by addressing infrastructure and application bottlenecks. This role involves building tools, analyzing efficiency, and collaborating across teams to improve hardware, software, and infrastructure usage for various ML workloads like Robotics, Autonomous vehicles, LLMs, and Videos. | Serve | 8 |
| Engineering Manager, AI Developer Technology Engineering Manager for NVIDIA's AI Developer Technology team, focused on leading a team to optimize and develop algorithms for Deep Learning and Machine Learning applications, influencing next-generation hardware/software, and collaborating with customers and internal teams. The role involves optimizing training and inference performance on NVIDIA hardware. | ServePost-train | 8 |
| Senior Developer Technology Engineer - AI Senior Developer Technology Engineer focused on researching and optimizing AI/ML workloads for GPU acceleration, involving deep analysis, performance tuning, and collaboration with the developer community and internal teams to influence next-generation hardware and software design. | Serve | 8 |
| Senior Design Automation Engineer, Applied AI NVIDIA is seeking an Applied AI Engineer to lead end-to-end solution development for timing and constraint analysis workflows in VLSI/ASIC design. The role involves data generation, model training, orchestration, and building autonomous agents that interact with timing tools. The engineer will develop AI-driven solutions, integrate data sources, implement scalable orchestration, and build interpretable AI pipelines using GNNs, LLMs, and reasoning engines. Experience with Python, PyTorch/TensorFlow, graph/agentic AI frameworks, and EDA tools is required. | AgentData | 8 |
| Senior Product Architect, Storage NVIDIA is seeking a Senior Product Architect to design and validate AI storage infrastructure, focusing on optimizing systems for large-scale foundation model training, disaggregated inference, and agentic AI pipelines. The role involves architecting end-to-end reference architectures, defining system-level architectures, and collaborating with partners and customers to deliver proof-of-concepts. | AgentServe | 8 |