Currently tracking 440 active AI roles, down 53% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$575k (avg $262k).
NVIDIA currently has 496 active AI-related job listings. The majority of these roles, 52%, are focused on serving infrastructure, with agents representing another significant segment at 23%. Engineering is the dominant function, with 441 positions. The United States leads hiring geographies with 287 roles, followed by China with 64. Frequent tech tags include model_serving, inference_infra, and agent_orchestration, suggesting a focus on deployment and management of AI models. Over the last 30 days, NVIDIA posted 214 new AI roles, a 27% decrease compared to the previous 30-day period.
NVIDIA currently has 487 active AI-related roles in our index. The most common open titles are: Deep Learning Performance Architect (4), Senior Deep Learning Performance Architect (4), AI Research Scientist (3), Developer Technology Engineer - AI (3), Manager, Deep Learning Algorithms (3). Most positions are in Engineering and Research.
NVIDIA's active AI hiring is concentrated in: serving infrastructure (54%), agents (21%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
NVIDIA is hiring AI talent in: United States (286 roles), China (59 roles), Israel (50 roles), Germany (21 roles).
Job postings at NVIDIA most frequently reference: model serving, inference infra, agent orchestration, llm observability, multimodal.
In the past 30 days, NVIDIA has posted 110 new AI-related roles. That is a -50% change versus the prior 30 days (218 → 110).
| Title | Stage | AI score |
|---|---|---|
| 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 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 |
| 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 |
| Senior HPC Performance Engineer - AI for Science at Scale Senior HPC Performance Engineer focused on optimizing large-scale, CUDA-backed ML training frameworks for AI in Science applications, particularly in digital biology and chemistry. The role involves kernel design, GPU porting, distributed learning, and algorithmic improvements within HPC software stacks. | ServePost-train | 8 |
| Manager, Deep Learning Algorithms Manager for Deep Learning Algorithms at NVIDIA, focusing on productizing DL models, optimizing inference, and leading engineering teams. The role involves working with LLMs/VLMs, inference optimization, and collaborating across NVIDIA to develop state-of-the-art algorithms for GPU-accelerated platforms. | Serve | 8 |
| Distinguished Engineer - Dynamo Distinguished Engineer role focused on NVIDIA Dynamo, an AI inferencing platform. The role involves technical leadership, driving product direction, and contributing to open-source projects to achieve state-of-the-art performance and scalability for AI inference across modalities on NVIDIA hardware. | Serve | 8 |
| Principal Software Engineer – Large-Scale LLM Memory and Storage Systems NVIDIA is seeking a Principal Systems Engineer to design and evolve a unified memory layer for large-scale LLM inference, focusing on KV-cache offload, reuse, and sharing across heterogeneous clusters. The role involves deep integration with LLM serving engines and optimizing performance across GPU, CPU, and storage tiers. | Serve | 8 |
| Senior Software Engineer, Deep Learning - MLIR TRT Senior Software Engineer focused on developing and productizing deep learning solutions for autonomous driving vehicles, specifically involving compiler technology to optimize deep learning inference on NVIDIA hardware. The role requires expertise in deep learning frameworks, compiler technologies, and GPU programming. | Serve | 8 |
| Senior Software Engineer, Real-Time AI and Rendering - Holoscan SDK Senior Software Engineer at NVIDIA to build the future of real-time AI for sensor-driven applications using the Holoscan Platform. The role involves architecting APIs, prototyping GPU-accelerated algorithms for computer vision, imaging, sensor fusion, and low-latency rendering, and integrating generative models and multimodal foundation models into real-time pipelines. Focus on enabling GPU-resident generative methods for perception, simulation, and robotics. | AgentServe | 8 |
| Manager, Deep Learning Algorithms Manager for Deep Learning Algorithms at NVIDIA, focusing on leading engineering efforts for productizing DL models, optimizing inference, and collaborating with research teams to implement and improve algorithms. The role involves managing a team, aligning priorities, and developing the GPU-accelerated DL platform. | Serve | 8 |
| Senior Deep Learning Performance Architect NVIDIA is seeking a Senior Deep Learning Performance Architect to analyze and develop next-generation architectures for AI and high-performance computing. Responsibilities include developing HW architectures for performance and energy efficiency, benchmarking AI workloads, creating simulation tools, and evaluating hardware features. Requires MS/PhD or equivalent experience with 4+ years in parallel computing architectures, GPU/ASIC architecture evaluation for training/inference, and strong Python/C++ skills. | Serve | 8 |
| Senior Manager, Engineering - AI Developer Tools Senior Engineering Manager to lead a team building and evolving AI developer tools and technology for local and cloud GPUs, focusing on the developer experience for AI workflows and managing AI workloads on accelerated infrastructure. | ServeAgent | 7 |
| Senior Software Engineer, AI Developer Tools Senior Software Engineer to craft intuitive AI developer tools that make advanced AI workflows accessible and scalable across diverse accelerated infrastructure. | Agent | 7 |
| Senior DL Compiler Engineer -CUDA Tile NVIDIA is hiring a Senior DL Compiler Engineer for the CUDA Tile team. This role involves designing and implementing compiler transformations, developing MLIR-based dialects and lowering passes, and optimizing performance for tile-based kernels on NVIDIA GPUs. The CUDA Tile programming model is a new addition to CUDA, shipped with CUDA 13.1. | Serve | 7 |
| Senior Software Engineer - Storage Software Engineer role focused on designing, building, and operating exascale infrastructure for AI research and development at NVIDIA. The role involves managing distributed systems, large-scale storage, compute orchestration, and automation to support AI workloads across thousands of GPUs and petabytes of storage. | Serve | 7 |
| Principal Developer, AI Networking This role focuses on optimizing AI workloads, specifically LLM training and inference, on large-scale GPU and CPU clusters. The core responsibility is to profile, analyze, and optimize the performance of distributed systems with a strong emphasis on high-performance networking and communication libraries. The engineer will develop tools for performance analysis and collaborate across hardware and software teams to identify and resolve bottlenecks. | ServePretrain | 7 |
| AI Automation Engineer, Security NVIDIA is seeking an AI Automation Engineer to build AI-native, agent-enabled security organization. The role involves developing AI agents for security programs, building and maintaining infrastructure for agent workflows, translating business needs into agent solutions, architecting integrations for agents to interact with data systems, owning ETL and agentic data pipelines, and ensuring data security and governance. The engineer will also monitor and optimize data infrastructure, pipelines, and agents, and mentor other engineers. | AgentData | 7 |
| Software R&D Engineer, RTL Optimization Tools Software R&D Engineer at NVIDIA focused on developing internal EDA tools for RTL optimization. The role involves fusing parallel computing, machine learning, and novel algorithms to improve hardware design productivity. It explores the use of LLMs, GNNs, GANs, and Reinforcement Learning for optimization tasks, and requires strong C++ development skills with a focus on graph-based algorithms and optimization. | Serve | 7 |
| Senior Software Engineer, AI Speed Infrastructure Senior Software Engineer to build AI speed infrastructure for Tegra, focusing on a fast build, test, and validation system. The role involves designing AI-native, self-healing CI workflows, integrating reasoning agents for failure triage and automation, and optimizing the entire code-to-merge pipeline for C/C++ codebases, with a strong emphasis on performance engineering and developer experience. | Agent | 7 |
| Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud Senior Systems Software Engineer focused on scaling NVIDIA DGX Cloud's AI infrastructure, specifically optimizing Kubernetes and distributed inference serving for performance, cost, and reliability. The role involves end-to-end performance characterization, developing automated tests for AI workloads, debugging complex distributed systems, and contributing to open-source communities. | ServeAgent | 7 |
| Senior Software Engineer, Mapping - Autonomous Vehicles NVIDIA is seeking a Senior Software Engineer for their Autonomous Vehicles mapping team. The role involves designing and developing algorithms for map-based driving products, including architecture design, efficient C++ development, and integrating algorithmic solutions. Key responsibilities include researching and developing transformer-based models for graphs, implementing evaluation frameworks for LLMs, fine-tuning pre-trained models, and building automated map content analysis and map-building workflows. The role requires a background in computer vision, 3D geometry, and machine learning, with heavy AI tool usage for development, and strong prompt-crafting skills. The position is focused on building AI-powered solutions for self-driving cars, with a primary focus on agentic systems for navigation and map content, and secondary involvement in model fine-tuning. | AgentPost-train | 7 |
| GPU Architect - New College Grad 2026 NVIDIA is seeking new college graduates for its GPU Architecture Group to design and validate GPU profiling and performance telemetry features. The role involves hardware modeling, test development, and infrastructure, with a focus on the world's leading AI platform. Responsibilities include building and maintaining hardware models, writing and executing test plans, contributing to development infrastructure, and collaborating with cross-functional teams. | Serve | 7 |
| Senior ML Platform Engineer Senior ML Platform Engineer at NVIDIA responsible for architecting, building, and scaling high-performance ML infrastructure using Infrastructure-as-Code (IaC) practices. The role focuses on creating reliable, automated platforms for training and deploying advanced ML models on GPU systems, applying SRE principles, and developing internal automation for ML workflows. Requires strong software engineering skills in Python/Go, experience with Kubernetes/Docker, and a solid understanding of ML workflows. | Serve | 7 |
| Senior Software Engineer - Developer Tools for Deep Learning Senior Software Engineer to enhance NVIDIA's developer tools for deep learning, focusing on neural network design and performance efficiency. The role involves partnering with management and architects, staying updated on research, and working with SOTA computer vision and LLMs. | ServePost-train | 7 |
| Senior Deep Learning Hardware Modeling Architect - LPU NVIDIA is seeking a Senior Deep Learning Hardware Modeling Architect to optimize AI inference speed and efficiency. The role involves driving architectural specifications, developing written specifications for component-level and system-level designs, and embodying these specifications in an executable model. The candidate will ensure high performance using C++ software practices, solid algorithms, and parallelism, and resolve performance and correctness issues across chip and hardware subsystems. | Serve | 7 |
| Senior AI Infrastructure Engineer - DGX Cloud Senior AI Infrastructure Engineer responsible for designing, building, and maintaining large-scale production systems for NVIDIA's DGX Cloud, focusing on AI training and inferencing platforms. This role involves infrastructure automation, distributed systems, performance characterization, and ensuring reliability and availability of GPU cloud services. | Serve | 7 |
| Senior Compiler Engineer - DL NVIDIA is seeking a Senior Compiler Engineer for its Deep Learning Compiler (DLC) team. This role involves analyzing deep learning networks, developing compiler optimization algorithms, and collaborating with framework and hardware teams to accelerate deep learning inference performance. The compiler is critical for data centers, personal devices, automotive, and robotics, aiming for leading inference performance, fast build times, and reduced memory footprints. | Serve | 7 |
| Senior Software Engineer, CUTLASS Kernels Senior Software Engineer to develop and optimize high-performance deep learning kernels (e.g., GEMM, attention, convolution) using CUTLASS CUDA C++ and Python DSL for NVIDIA GPUs and future architectures. The role involves optimizing kernels for peak throughput, collaborating with various NVIDIA teams (architecture, compiler, libraries, DL frameworks), and requires strong C++ and CUDA experience, understanding of computer architecture, and experience with parallel programming languages targeting accelerators. | Serve | 7 |
| Senior Software Engineer, CUTLASS Performance Senior Software Engineer role focused on optimizing the performance of CUTLASS, a high-performance linear algebra and Tensor Core primitive ecosystem for NVIDIA GPUs. The role involves benchmarking deep learning models, identifying performance gaps, developing tooling for optimization, and acting as a performance representative across NVIDIA teams. | Serve | 7 |
| Principal Architect, System Software - Orbital Data Center NVIDIA is seeking a Principal Architect to lead the system software architecture for their Orbital Data Center (ODC) modules, specifically Space-1. This role involves designing and implementing a resilient, production-ready inference platform for the harsh environment of low-Earth orbit, covering the full stack from firmware to AI workloads. The architect will collaborate with hardware teams, drive customer use cases, and ensure the platform operates reliably for 5-year missions, enabling AI adoption in space. | Serve | 7 |
| Software Engineer, TensorRT Specialized Platforms - New College Grad 2025 Software Engineer role focused on developing and optimizing high-performance deep learning inference software (TensorRT) for specialized platforms. Requires strong C++ skills, familiarity with deep learning frameworks, and interest in performance optimization and systems programming. | Serve | 7 |
| Senior Software Engineer, Agentic Systems Senior Software Engineer to build NeMo Platform, focusing on NeMo Evaluator for developing, evaluating, deploying, and operating AI systems at scale. The role involves designing and implementing Python APIs, SDK workflows, and plugin interfaces for building, measuring, and improving agents, with a strong emphasis on agentic development and automated improvement. | Eval GateAgent | 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 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 |
| 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 |