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 |
|---|---|---|
| Deep Learning Senior Engineer, End-To-End Autonomous Driving NVIDIA is seeking a Deep Learning Senior Engineer to design, implement, and deploy end-to-end autonomous driving systems. The role focuses on AI 2.0, leveraging LLMs, VLMs, and VLAs for reasoning and planning in autonomous vehicles and robotics. Responsibilities include training large-scale models, building and fine-tuning LLM/VLM/VLA systems, exploring data generation strategies, and deploying models in production environments, integrating them with vehicle firmware. | Post-trainAgent | 9 |
| High-Performance LLM Training Engineer - New College Grad 2026 NVIDIA is seeking an experienced engineer to optimize LLM training workloads on high-performance computing systems, focusing on software stack optimization for thousands of GPUs and influencing future hardware roadmaps. The role involves performance analysis, profiling, and implementation across the deep learning platform, from drivers to frameworks, and contributing to MLPerf benchmarks. |
| Data |
| 9 |
| Deep Learning Performance Architect NVIDIA is seeking a Deep Learning Performance Architect to analyze, model, and optimize deep learning system performance, particularly for LLM workloads, on state-of-the-art hardware architectures. This role influences future hardware and software design by collaborating with various internal teams. | Serve | 9 |
| Deep Learning Performance Architect NVIDIA is seeking a Deep Learning Performance Architect to optimize deep learning hardware and software architectures for edge devices, workstations, and data center GPUs. The role involves benchmarking, performance modeling, bottleneck identification, and exploring new hardware/software capabilities, with a focus on LLMs and generative AI. Experience with AI agents for engineering workflows is also mentioned. | ServePost-train | 9 |
| Senior Systems Software Engineer, AI Stack and Performance - DGX Station Senior Systems Software Engineer focused on optimizing AI stack performance and readiness on NVIDIA's DGX Station, a workstation-class AI computer. The role involves profiling, identifying bottlenecks, and driving optimizations across the full stack from GPU kernels to applications, ensuring AI workloads like LLM inference and agents run efficiently in multi-GPU, multi-user configurations. Collaboration with framework, compiler, and GPU architecture teams is critical. | ServeShip | 9 |
| Senior Machine Learning Engineer, Perception - Autonomous Driving NVIDIA is seeking a Senior Machine Learning Engineer for their Autonomous Driving Perception team. The role involves designing and developing end-to-end deep learning solutions for perception modules, focusing on road layout detection, lane structures, and other critical driving components. The engineer will also drive data-driven development, leverage simulation and augmentation, and productize solutions meeting safety and latency requirements. Experience with deep learning frameworks, Python/C++, and perception for autonomous driving or robotics is essential. | ShipData | 9 |
| Senior Software Engineer, DGX Cloud AI Infrastructure Senior Software Engineer to lead the bring-up, triage, benchmarking, analysis, and optimization of distributed training and inference workloads across NVIDIA GPU platforms at scale. This role involves setting technical direction for communication libraries, model frameworks, and inference/training stacks, leading performance and reliability investigations, defining benchmarking and qualification processes, and building resilience capabilities for large clusters. | ServePost-train | 9 |
| Software Engineer, DGX Cloud AI Infrastructure Software Engineer role focused on AI infrastructure, specifically distributed training and inference workloads on NVIDIA GPU platforms. Responsibilities include bring-up, triage, benchmarking, analysis, and optimization of these workloads at scale. Requires experience with multi-GPU/multi-node systems, debugging distributed environments, and strong Python/C++ skills. | ServePost-train | 9 |
| Senior Deep Learning Performance Architect NVIDIA is seeking a Senior Deep Learning Performance Architect to analyze and develop next-generation architectures for AI and HPC applications. The role involves developing innovative architectures, analyzing performance/cost/power trade-offs using models and simulators, understanding hardware/software interplay, and evaluating PPA for architectural decisions. Collaboration with software, product, and research teams is key. Requires MS/PhD, 6+ years experience, strong background in GPU/Deep Learning ASIC architecture for distributed training/inference, performance modeling, and ML/DL fundamentals, particularly transformer architectures. Proficiency in Python, C, C++ is essential. | Serve | 9 |
| AI Inference Performance Engineer - New College Grad 2026 NVIDIA is seeking an AI Inference Performance Engineer to optimize and benchmark GenAI inference on their accelerators, working with frameworks like TensorRT-LLM, SGLang, and vLLM. The role involves driving industry benchmark results, defining cutting-edge workloads, architecting distributed inference, establishing performance methodology, and influencing the ecosystem through open-source contributions and cross-functional partnerships. Requires strong programming skills, DL framework expertise, and a deep understanding of LLM inference mechanics. | Serve | 9 |
| Senior Software Engineer, Generative AI Research NVIDIA is seeking a Senior Software Engineer for Generative AI Research to build and operate scalable infrastructure for training their world foundation model for physical AI, Cosmos. This role involves designing and developing high-throughput systems for data processing, retrieval, and workflow orchestration, improving system reliability and performance, and contributing to long-term infrastructure strategy for training, data management, and large-scale compute efficiency. The role requires a strong engineering background in distributed systems, ML infrastructure, or large-scale compute/data platforms, proficiency in Python and C++/Go/Rust, and experience with orchestration systems and data pipelines. Experience with large-scale model training infrastructure, distributed compute, synthetic data, or multimodal datasets is a plus. | DataPretrain | 9 |
| Senior Software Manager, Agentic AI Senior Software Manager to lead a team building agentic AI solutions for chip design workflows, involving coding agents, custom skills, and integration with enterprise systems. The role requires technical leadership in designing, developing, and deploying AI applications using LLMs and agentic systems, including model customization (fine-tuning, RL, instruction tuning) and overseeing retrieval/generation algorithms for enterprise data. Collaboration with cross-functional teams and ensuring high technical standards for evaluation, guardrails, and monitoring are key. | AgentPost-train | 9 |
| Deep Learning Performance Software Engineer Develops GPU-accelerated deep learning software, including compilers, DSLs, and optimized kernels, for current and next-generation chips, focusing on performance analysis of AI workloads and integration with AI frameworks. | Serve | 9 |
| AI Computing Architect NVIDIA is seeking an AI Computing Architect to develop innovative architectures for deep learning performance and efficiency, analyze trade-offs using models and simulators, and prototype algorithms. The role requires strong programming skills, computer architecture background, and a foundation in machine learning. | ServePost-train | 9 |
| Senior Software Engineer - Agentic AI Senior Software Engineer role focused on leading Agentic AI solutions, including sophisticated AI agents and fine-tuning, integrating them with enterprise production systems. The role involves designing, developing, and deploying AI applications using LLMs, Agentic frameworks, and optimizing retrieval/generation algorithms for enterprise data (text, code, images) to build advanced AI applications for engineering assistants and multi-turn, multi-modal dialogue systems, ultimately solving complex problems in chip design. | AgentPost-train | 9 |
| Senior Systems Software Engineer, Machine Learning Senior Systems Software Engineer focused on Machine Learning, specifically generative AI, LLMs/VLMs, computer vision, and agentic systems. The role involves converting research into production products, building and shipping ML workflows/pipelines, and leveraging AI in data generation. Key responsibilities include defining evaluation criteria and running offline evals. Experience with multi-agent pipelines, VLMs in production, and shipping AI-powered features to users is highly valued. | AgentData | 9 |
| Senior AI Safety Red Teamer NVIDIA is seeking a Senior AI Safety Red Teamer to improve the safety and security posture of their AI models, systems, and infrastructure. The role involves hands-on safety and security research, developing tools to expose weaknesses, defining safety standards, and partnering with cross-functional teams. Requires 5+ years of experience in AI safety/security and offensive cybersecurity, with knowledge of AI vulnerabilities, LLMs, MLLMs, Generative AI, Agents, and RAG workflows, and strong Python programming skills. | Eval GateAgent | 9 |
| Senior High Performance AI Engineer Senior High Performance AI Engineer to build multi-agent systems for the CUDA ecosystem, focusing on agentic runtimes, compiler-integrated orchestration, and GPU acceleration for agent workloads like planning, tool-use, and code generation. Collaborates across the AI stack from hardware to model/agent teams. | AgentServe | 9 |
| Senior LLM Agents Architect Senior LLM Agents Architect role focused on designing and building agentic AI systems to optimize GPU compute kernels, analyze architectural simulations, and drive improvements in hardware design and developer efficiency. The role involves hands-on CUDA programming, collaboration with hardware architects, and building automated agentic workflows for performance forensics and architectural studies. | Agent | 9 |
| Senior Performance Architect, Nemotron NVIDIA is seeking a Senior Performance Architect for Nemotron to focus on deep model-system-hardware co-design. The role involves developing high-fidelity performance models to evaluate architectural choices, predict deployment efficiency, and ensure Pareto-optimal trade-offs for future Nemotron models. This position will guide future software and hardware roadmaps by modeling end-to-end performance impact of GenAI workflows and collaborating with research, framework, compiler, and hardware teams. | Serve | 9 |
| Software Engineer, AI and DL Kernel Libraries - New College Grad 2026 Software Engineer role focused on developing AI systems software for efficient inference, including libraries, code generators, and GPU kernels for NVIDIA's hardware. The role involves designing abstractions, optimizing kernels, building LLM serving runtimes, and contributing to open-source projects like FlashInfer and vLLM. | Serve | 9 |
| Senior Machine Learning Engineer - Physical AI and Synthetic Data Generation NVIDIA is seeking a Senior Machine Learning Engineer to join their Physical AI team. The role focuses on architecting and developing generative pipelines for high-fidelity synthetic data using multimodal and diffusion models. Responsibilities include building and fine-tuning large-scale models, applying user controls for data synthesis, establishing quality assurance pipelines, and leading the generation of massive training datasets. The role requires deep technical knowledge in image/video synthesis, strong programming skills, and experience in assessing synthetic data impact on model performance. | DataPost-train | 9 |
| Senior Software Engineer, Agentic AI – Nvidia Blueprints and NIM Integrations Senior Software Engineer focused on integrating NVIDIA's NIM microservices and Blueprints into agentic AI frameworks. The role involves building and maintaining agentic workflows, developing test harnesses, and contributing to the open-source agentic AI ecosystem. | Agent | 9 |
| Senior DL Algorithms Engineer - Inference Performance Senior engineer to optimize LLM/Omni model inference performance on NVIDIA's accelerated inference software stack, working across hardware and software layers. Involves enabling and optimizing open models, contributing code to frameworks like TRT-LLM and vLLM, profiling bottlenecks, and benchmarking. | Serve | 9 |
| Senior Deep Learning Software Engineer, Inference Senior Software Engineer specializing in Deep Learning Inference to optimize GPU-accelerated software for AI applications. Focus on high-performance deep learning frameworks like SGLang and vLLM for efficient model serving and inference, improving performance across NVIDIA accelerators. | Serve | 9 |
| Senior GenAI Technical Lead, Partner Platforms Senior Technical Lead for GenAI Product Integration at NVIDIA, focusing on integrating NVIDIA's GenAI software with enterprise ISV and CSP partners. The role involves defining technical strategy, building trusted relationships, and driving adoption of NVIDIA's offerings. Responsibilities include hands-on design and shipping of RAG, LLM inference, and Multi-Agent workflows, owning technical engagements, and representing partner needs to Product and Engineering teams. Requires strong background in AI/ML, Deep Learning, and building enterprise-grade GenAI systems, with experience in relevant programming languages and LLM application stages. | AgentServe | 9 |
| Senior Solutions Architect, Autonomous Driving - GenAI Senior Solutions Architect focused on Generative AI and Autonomous Vehicles, engaging with customers to guide adoption of NVIDIA's full-stack technologies, including AI platforms, CUDA-X libraries, and GenAI/Physical AI solutions. Responsibilities include technical mentorship, developing AV perception and planning models, simulations, synthetic data generation, AI-enhanced manipulation/navigation, and building collateral for AI workflows. Requires strong experience in AV systems, GenAI model development, Python/C++, Linux, DevOps, and DL/RL frameworks. | AgentData | 9 |
| Senior Systems Software Engineer, Machine Learning Senior Systems Software Engineer focused on building and shipping machine learning workflows and agentic systems, particularly leveraging LLMs/VLMs and computer vision for data generation and product features. The role involves converting research into production products, defining evaluation criteria, and iterating quickly. | AgentData | 9 |
| 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 neural network workloads on future NVIDIA platforms. | Serve | 9 |
| Senior AI Architect, Computer Use Agents Senior Software Engineer role focused on building multi-modal agentic AI solutions for NVIDIA's software stack, aiming to accelerate various stages of the SDLC. Responsibilities include leading design and development, and creating benchmarks. | Agent | 9 |
| Senior Software Engineer, AI Inference Systems Senior Software Engineer focused on building and optimizing AI inference systems for large-scale models, involving GPU kernel optimization, inference framework development (vLLM), benchmarking (MLPerf), and orchestration of distributed deployments. | Serve | 9 |
| Senior Machine Learning Engineer, End‑to‑End Autonomous Driving Senior Machine Learning Engineer at NVIDIA focused on building, training, and deploying large-scale end-to-end autonomous driving models using VLM/VLA architectures and a data flywheel for continuous improvement. The role involves designing models, driving data collection and iteration, curating multimodal datasets, developing data-centric algorithms, exploring new data sources, and creating agentic data workflows. | ShipData | 9 |
| Solutions Architect, GenAI NVIDIA is seeking a Solutions Architect with deep expertise in Generative AI (LLM) model building, focusing on training LLMs at scale and customizing them. This role involves designing solutions, leading workshops, and collaborating with internal teams to build full-stack GenAI solutions for enterprise use cases. The position requires significant experience in deep learning and generative AI, with an emphasis on large-scale LLM training. | Post-trainServe | 9 |
| Senior Research Engineer - AI Coding Tools Senior Research Engineer at NVIDIA focused on building and improving AI coding agents, fine-tuning code LLMs, designing evaluations, and developing interfaces for AI agents to interact with NVIDIA's developer tools. The role involves shipping novel agents and features, contributing to benchmarks, and generating synthetic data for AI-for-code applications. | AgentPost-train | 9 |
| Tech Engagement Lead - Model Builder This role focuses on engaging with leading AI model builders to drive the adoption and optimize the performance of NVIDIA's hardware, systems, and software (e.g., GPUs, DGX, CUDA-X, NeMo, TensorRT) within their generative AI workflows, specifically for training and inference. The role involves technical integration, strengthening partnerships, influencing product roadmaps, and showcasing best practices for scalable AI model development pipelines. | ServePost-train | 9 |
| ML and Agentic Systems Engineer NVIDIA's Cosmos team is seeking an ML and Agentic Systems Engineer to build AI-native systems and agentic workflows across the ML lifecycle. The role focuses on creating the meta-layer for ML development, enabling AI agents to interact with code, data, experiments, and evaluations to accelerate ML processes. Responsibilities include designing agentic workflows, building AI-native systems, creating self-improving loops, owning large-scale Python/PyTorch codebases, and scaling evaluation platforms. | AgentEval Gate | 9 |
| Senior Software Engineer, Agentic AI Senior Software Engineer role focused on building and scaling agentic AI systems for high-performance code generation. Responsibilities include architecting agentic systems, scaling distributed systems, developing evaluation frameworks, optimizing for performance on NVIDIA GPUs, and establishing engineering standards. Requires experience in building coding agents, AI evaluation, and distributed systems. | AgentEval Gate | 9 |
| Principal High-Performance LLM Training Engineer NVIDIA is seeking a Principal Engineer to lead performance analysis and optimization of large-scale AI training and post-training workloads on NVIDIA's hardware and software stack. The role involves deep technical analysis across compute, memory, communication, and frameworks to improve efficiency and influence future roadmaps. | PretrainPost-train | 9 |
| Senior Software Engineer, AI Inference Systems Senior Software Engineer focused on building and optimizing AI inference systems, including vLLM, GPU kernels, and orchestration for large-scale model deployments. The role involves performance engineering, benchmarking (MLPerf), and potentially research integration. | Serve | 9 |
| Senior Solutions Architect - Generative AI Senior Solutions Architect specializing in Generative AI, focusing on training LLMs, fine-tuning, and RAG implementation. The role involves architecting end-to-end solutions, collaborating with customers and sales teams, and providing technical leadership for LLM training and Agentic AI workflows on NVIDIA platforms. | Post-trainAgent | 9 |
| Senior Tools Development Engineer This role focuses on building agentic infrastructure for test automation and quality engineering within the NVIDIA Omniverse platform. The engineer will design and deploy multi-agent systems, orchestration frameworks, and autonomous pipelines, with a strong emphasis on evaluating agent output quality and establishing observability for these workflows. The goal is to enable engineers to ship high-quality software with greater speed and confidence. | AgentEval Gate | 9 |
| Senior Deep Learning Software Engineer Senior Deep Learning Software Engineer to design and build an automated inference and deployment solution with a scalable architecture focusing on ease-of-use and compute efficiency. The role involves developing features in high-level frameworks, implementing a high-performance execution environment, and low-level GPU optimizations. | Serve | 9 |
| Machine Learning Engineer - Humanoid Robotics Machine Learning Engineer focused on humanoid robotics, developing and advancing foundation models (GR00T, Cosmos) for loco-manipulation, and implementing algorithms for real-world robot deployment. The role involves robot learning, synthetic data generation, and sim-to-real transfer. | AgentData | 9 |
| LLM Reinforcement Learning Framework Engineer NVIDIA is seeking an LLM Reinforcement Learning Framework Engineer to develop and deploy RL algorithms for LLM post-training, focusing on improving reasoning and alignment. The role involves integrating RL components into NVIDIA's LLM stack, crafting experiments, and ensuring production readiness. Requires strong Python, PyTorch, and practical RL experience with LLMs, along with familiarity in async/distributed orchestration. | Post-trainAgent | 9 |
| Senior Software Engineer, RL Post-Training Frameworks NVIDIA is seeking a Senior Software Engineer to build and scale RL post-training infrastructure, focusing on distributed systems, high-performance computing, and deep learning infrastructure. The role involves architecting and optimizing RL training-inference-rollout loops, ensuring fault tolerance and elastic scaling, and collaborating with researchers and hardware teams. | Post-trainServe | 9 |
| Manager, Deep Learning – Autonomous Vehicles and Robotics Manager for a Deep Learning Engineering team focused on delivering production-quality deep learning solutions for autonomous vehicles and robotics on edge hardware. The role involves leading a team, defining technical initiatives, and collaborating with automotive OEMs and robotics partners to optimize solutions on NVIDIA platforms, working at the intersection of model architectures, compiler technology, and embedded deployment. | ServePost-train | 9 |
| Senior Deep Learning Algorithms Engineer - BioNeMo Senior Deep Learning Algorithms Engineer at NVIDIA to optimize biology and structural biology models (LLMs, VLMs) for inference performance on GPUs using TensorRT-LLM and related stacks. Focus on low-latency, high-throughput inference, quantization, custom GPU kernels, and production deployment. | ServePost-train | 9 |
| Senior AI Software Engineer, Kernel Libraries Senior AI Software Engineer focused on developing kernel libraries and inference systems software to accelerate AI workloads, including LLMs and agents, on NVIDIA's hardware. Responsibilities include innovating and optimizing kernels, designing abstractions for serving engines, and building compilers/runtimes. | Serve | 9 |
| Senior Software Engineer, AI and DL Kernel Libraries Develops libraries, code generators, and GPU kernel technologies for NVIDIA's AI inference systems software stack, focusing on accelerating AI inference through efficient kernels, abstractions, and runtimes for LLMs and agents. | Serve | 9 |
| Senior AI Compiler Engineer, MLIR NVIDIA is hiring a Senior AI Compiler Engineer to build an MLIR-based AI compiler for their inference engine, focusing on performance, low memory usage, and usability across data center and edge. The role involves developing graph representations, optimizations, defining APIs, and implementing compiler optimizations and kernel generation for neural networks. | Serve | 9 |