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 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 |
| Principal AI Developer Technology Engineer This role focuses on researching and developing techniques to accelerate AI workloads (deep learning, machine learning) on advanced computer architectures, specifically GPUs. The engineer will perform in-depth analysis and optimization of complex AI and HPC algorithms, publish findings, and influence future hardware/software design. Requires deep C/C++ programming, parallel programming (CUDA, etc.), low-level performance optimization, and CPU/GPU architecture expertise. |
| Serve |
| 8 |
| Principal AI Developer Technology Engineer Seeking a Principal Developer Technology Engineer to research and develop techniques for GPU acceleration of AI workloads, focusing on performance optimization of deep learning and HPC algorithms on modern CPU and GPU architectures. This role involves collaborating with internal teams and the developer community, influencing hardware/software design, and publishing findings. | Serve | 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 |
| Senior AI Developer Technology Engineer Senior Developer Technology Engineer focused on researching and developing techniques to GPU accelerate AI workloads, optimizing performance on modern CPU and GPU architectures, and collaborating with the developer community and internal teams to influence next-generation hardware and software design. | 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 GPU System Architect NVIDIA is seeking a Senior GPU System Architect to design multi-GPU scale-up and scale-out datacenter systems for AI and HPC. The role involves architecting system topologies, defining interconnects (NVLink, Ethernet), collaborating on RDMA, using system models for analysis, and co-designing hardware-software stacks for efficient AI workload deployment. | Serve | 8 |
| Senior System Software Engineer, Speech AI NVIDIA is seeking an experienced Software Engineer to work on their GPU-accelerated Speech AI platform, focusing on building and optimizing core speech recognition (ASR), text-to-speech (TTS), and S2S services for real-time conversational AI applications. The role involves developing C++ & Python backend implementations, optimizing inference performance, adding new features, contributing to client libraries, and performance analysis of complex systems. | ServePost-train | 8 |
| Senior Software Engineer – ADAS Senior Software Engineer to develop production ADAS and autonomous driving functions in C++ and Python, integrating deep learning models into real-time inference pipelines on NVIDIA GPUs for safety-critical automotive applications. | ServePost-train | 8 |
| System Software Architect, AI and GPU Networking NVIDIA is seeking a System Software Architect to research and develop advanced networking solutions for AI data centers, focusing on accelerating AI workloads, inference, and model serving. The role involves enhancing GPU networking offerings, designing optimizations for data movement, and evaluating new technologies. | ServePost-train | 8 |
| Developer Technology Engineer - AI NVIDIA is seeking an AI Developer Technology Engineer to collaborate with developers, optimize AI workloads on GPUs, research innovative AI techniques, and ensure peak performance on GPU architectures. The role involves developing and optimizing parallel algorithms and data structures, influencing next-gen architectures, and requires proficiency in C++, AI algorithms, and specific domains like multi-modal models or RL for LLMs. | ServePost-train | 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 |
| Senior High-Performance System Architect NVIDIA is seeking a Senior High-Performance System Architect to define and research NVL system architecture for large-scale, high-performance computing clusters used to train advanced AI models. The role involves working across algorithms, software, firmware, and hardware, collaborating with cross-functional teams, and analyzing simulation results. | ServePretrain | 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 |
| Senior Deep Learning Engineer - AI for Wireless Systems NVIDIA is seeking a Senior Deep Learning Engineer to develop AI-native wireless networks, integrating deep learning into signal processing and radio access technologies. The role involves designing, prototyping, implementing, training, and optimizing deep learning models for real-time inference and deployment on GPU platforms, collaborating with researchers and system engineers. | ServePost-train | 8 |
| Engineering Manager - AI for RAN and 6G Wireless Systems NVIDIA is seeking an Engineering Manager to lead a team developing AI/ML models for 6G wireless networks. The role involves guiding model development, training, evaluation, and deployment, with a focus on integrating deep learning into signal processing and radio access technologies. Experience with Python, PyTorch/TensorFlow, and leading engineering teams is required. | ServePost-train | 8 |
| System Software Engineer - Deep Learning System Software Engineer at NVIDIA focused on accelerating deep learning inference for autonomous driving systems using NVIDIA GPUs and DL accelerators. The role involves developing SDKs/frameworks for LLMs and state-of-the-art models, benchmarking, and optimizing for latency, accuracy, and power consumption. Requires experience with deep learning frameworks, DNN optimization, and C/C++. | ServePost-train | 8 |
| Senior Deep Learning Compiler Engineer - PyTorch Senior Deep Learning Compiler Engineer to develop and optimize PyTorch models for NVIDIA GPUs using compiler technology like Thunder, TorchDynamo, and TorchInductor. Focus on performance analysis and contributing to open-source AI ecosystem. | 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 |
| 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 Software Architect - Deep Learning and HPC Communications This role focuses on architecting and implementing next-generation communication software and platforms for deep learning and high-performance computing (HPC) applications, specifically targeting the efficient scaling of GPU clusters. The work involves identifying performance bottlenecks, designing new communication technologies, exploring hardware/software co-design, and using simulation to evaluate performance at massive scales. | 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 Software Architect, Advanced Development Senior Software Architect focused on accelerating networking and building AI data centers, researching transport functions for AI workloads, and leading architectural efforts in distributed AI, deep learning, HPC, SDN, virtualization, and storage. | Serve | 8 |
| Senior Manager, Deep Learning Performance Architecture NVIDIA is seeking an Engineering Manager to lead a Deep Learning Performance Architect Team. This role involves managing a team focused on analyzing deep learning networks and advancing deep learning computing systems through hardware/software co-design. Responsibilities include establishing team objectives, collaborating with software framework and hardware architecture teams, characterizing deep learning workloads, performance tuning, optimizing software stacks, and driving the evolution of next-generation hardware and software architectures. | Serve | 8 |
| Deep Learning Performance Architect NVIDIA is seeking Software Engineers to join their Deep Learning Inference team, focusing on developing and optimizing GPU-accelerated deep learning kernels for inference. The role involves performance analysis, tuning, and collaboration with cross-functional teams on innovative solutions. | Serve | 8 |
| AI Developer Technology Engineer NVIDIA is seeking an AI Developer Technology Engineer to work on optimizing AI techniques on GPU architectures and collaborate with customers and internal teams to influence future designs. The role involves studying and developing cutting-edge deep learning, graphs, and machine learning techniques, with a focus on performance analysis and optimization for GPUs. The engineer will also work with customers to understand their problems and provide AI solutions using GPUs, and collaborate with NVIDIA's internal teams to shape next-generation architectures and software platforms. | Serve | 8 |
| Director, Engineering – Software Engineering and AI Inferencing Platforms NVIDIA is seeking an Engineering Director to lead and scale software engineering teams in Vietnam, focusing on AI Inferencing Platforms and AI data/factory initiatives. The role involves driving the design, architecture, and delivery of high-performance system software platforms, collaborating with global teams, and overseeing the development and optimization of AI delivery platforms like NIMs and Blueprints. Experience with cloud, data, accelerated computing, and managing large AI/ML product teams is required. | ServeData | 8 |
| Senior System Software Architect, HPC and AI Networking NVIDIA is seeking a Senior System Software Architect to design and prototype scalable software systems for distributed AI training and inference, focusing on optimizing throughput, latency, and memory efficiency. The role involves developing and evaluating communication libraries, collaborating with AI framework teams, co-designing hardware features for AI acceleration, and contributing to runtime systems and protocol layers. | ServePost-train | 8 |
| Compute Architecture Software Engineer NVIDIA is seeking an LLM Inference Software Engineer to accelerate LLM inference using GPU technology on the TRTLLM project. The role involves developing and optimizing software solutions, implementing GPU-based algorithms, and improving performance across diverse computing environments. | Serve | 8 |
| Senior AI Storage Software Architect NVIDIA is seeking a Senior AI Storage Software Architect to define and design the next generation of storage solutions for AI workloads, including training, inferencing, KV cache, and RAG. The role involves researching AI storage workloads, optimizing them, designing the storage software stack and APIs, leading POCs, and driving hardware features for DPUs and NICs. Requires 5+ years of storage experience and familiarity with AI applications and technologies. | ServeData | 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 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 |
| 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 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 |
| 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 |
| GPU System Architect NVIDIA is seeking a GPU System Architect to design multi-GPU scale-up and scale-out datacenter systems for AI and HPC. The role involves defining system architectures that tightly couple GPU compute, memory, and interconnects for optimal AI performance, scalability, and resilience. Responsibilities include architecting system topologies, defining high-speed interconnects, collaborating on RDMA hardware, using system models for analysis, and enabling hardware-software co-design. | Serve | 7 |
| NBU Manufacturing Test Engineer NVIDIA is seeking a Manufacturing Test Engineer to design tools for product definition, data collection, test case execution, and results analysis. The role involves driving NBU diagnosis, analyzing test issues, qualifying equipment, and automating NBU product testing using AI and machine learning techniques. The engineer will also provide feedback on debug tools and support NBU product test setup. | 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 |
| Deep Learning Performance Architect, CUTLASS DSL NVIDIA is seeking an engineer to develop and optimize CUTLASS DSL, a Python-native language for GPU kernel development, and its associated MLIR dialects and lowering passes. The role involves accelerating kernel compilation for NVIDIA's next-generation AI platforms, aiming for performance comparable to CUTLASS C++. | Serve | 7 |
| Senior Software Architect, GPU Networking Research NVIDIA is seeking a Senior Software Architect to focus on GPU Networking Research for accelerating AI workloads and building AI data centers. The role involves leading vision, architecture, design, and proof-of-concept development for future GPU Networking offerings, identifying new technologies, and working with the community. Requires M.Sc./Ph.D. or equivalent experience, 8+ years in systems architecture, and experience in virtualization, networking, storage, and OS drivers. Experience in performance profiling, optimization, and HW offloads is crucial. A research track record and knowledge of Deep Learning frameworks are desirable. | 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 |