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 Scientist, Synthetic Data Generation Senior Scientist focused on synthetic data generation for training frontier LLMs, contributing to open-source libraries and advancing multimodal data generation. | DataPost-train | 10 |
| 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 |
| Senior Scientist, Synthetic Data and Privacy Senior Scientist role focused on building LLM-based methods for synthetic data generation and privacy-preserving AI, contributing to open-source libraries within the NVIDIA NeMo ecosystem. The role involves applied research, software engineering, and optimizing LLMs for inference, with a strong emphasis on publishing original research. | DataServe | 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 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 Solutions Architect, Autonomous Vehicles - Data Center NVIDIA is seeking a Senior Solutions Architect for Autonomous Vehicles and Robotics to help customers accelerate Physical AI workloads using NVIDIA's full-stack technologies. The role involves engaging with customers to optimize training, simulations, and synthetic data generation for AV perception and planning models, providing technical expertise, and driving full-stack adoption. The candidate will analyze and optimize AI models for GPU performance, build collateral for various AI workflows, and provide technical leadership. Requires 8+ years of ML/DL Infra experience in AVs, proficiency in Python, CUDA/C++, Linux, DevOps tools, and a strong understanding of AV models and simulations. Experience with model deployment at scale and robotics model development is a plus. The role focuses on the data and infrastructure aspects of AI model development and deployment in the AV domain. | DataServe | 9 |
| Senior Director - GenAI Data Strategy Senior Director role focused on defining and executing a comprehensive data strategy for foundation models, encompassing multi-modal data acquisition, curation, synthetic generation, and alignment techniques like RLHF. This role bridges research insights with data collection to improve model performance and safety, and engages with customers to translate deployment gaps into data priorities. | DataPost-train | 9 |
| Senior High-Performance LLM Training Engineer NVIDIA is seeking an experienced Senior High-Performance LLM Training Engineer to optimize LLM training workloads on advanced computing systems. The role focuses on improving the efficiency of NVIDIA's high-performance LLM software stack using frameworks like PyTorch and JAX for training on thousands of GPUs, and influencing future hardware roadmaps. | Data | 9 |
| Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles Senior Deep Learning and Computer Vision Engineer for Autonomous Vehicles team, focusing on applying state-of-the-art techniques to build ground truth, train deep neural networks, and develop training pipelines and real-time inference run-times for self-driving cars. | DataServe | 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 various layers of the deep learning platform, including building tools for automation and contributing to MLPerf benchmarks. | Data | 9 |
| Research Scientist, Quantum Computing and AI - New College Grad 2026 Research Scientist role at NVIDIA focusing on the intersection of AI and Quantum Computing. The role involves training AI models for quantum systems, advancing research in quantum simulation, and developing GPU-accelerated quantum tools. Requires a PhD, strong programming skills (Python, C++, PyTorch, JAX, CUDA), and a publication record in AI for quantum science or accelerated quantum simulations. | Data | 9 |
| Senior High-Performance AI Training Engineer Senior engineer focused on optimizing AI training workloads for performance on NVIDIA's hardware and software stack, from drivers to DL frameworks, impacting hardware/software roadmap and contributing to MLPerf benchmarks. | DataServe | 9 |
| Senior AI Training Performance Engineer NVIDIA is seeking a Senior AI Training Performance Engineer to optimize AI training workloads on state-of-the-art hardware and software platforms. The role involves analyzing, profiling, and optimizing performance across the hardware/software stack, implementing production-quality software, and building automation tools. Requires a strong background in deep learning training, computer architecture (especially GPU), performance tuning, and programming in C++, Python, and CUDA. | Data | 9 |
| Senior Software Engineer - Autonomous Driving Simulation Senior Software Engineer role focused on building and scaling realistic virtual environments for autonomous vehicle (AV) training, testing, and validation. The role involves developing simulation platforms, domain adaptation technologies (Real2Sim, Sim2Real), and optimizing large-scale simulation workflows. It requires strong programming skills in Python, C/C++, PyTorch, and experience with modern software engineering and infrastructure tools, as well as a background in computer vision, deep learning, or simulation systems. | DataAgent | 8 |
| Solutions Architect - AI Technology Centre NVIDIA is seeking a Solutions Architect with expertise in AI for Chemistry and Materials Science to lead research and application efforts. The role involves driving collaborations, mentoring junior members, developing technical materials, and staying updated on AI advancements in the field. Requires a PhD or equivalent experience and proficiency in Python and AI/ML libraries like PyTorch. | Data | 8 |
| Solutions Architect - AI Development Solutions Architect role focused on leading AI research and application, mentoring technical members, and fostering AI ecosystem development using NVIDIA technologies. Requires expertise in AI research areas like Digital Twins, Synthetic Data Generation, Immersive Multimedia, and Generative AI, with a strong background in AI model training and Python/PyTorch. | DataPost-train | 8 |
| Senior Deep Learning Scientist, Speech Synthesis NVIDIA is seeking a Senior Deep Learning Scientist to work on their Speech AI product, Riva. The role involves training speech synthesis models (mel-spectrogram and vocoder), measuring and analyzing model performance, maintaining the TTS evaluation system, and improving speech data processing and training set preparation. The ideal candidate has a Master's or PhD, 5+ years of ML/AI experience, strong Python and PyTorch skills, and hands-on experience training speech synthesis models. | DataPost-train | 8 |
| Senior Software Engineer, Computer Vision - Autonomous Vehicles Senior Software Engineer at NVIDIA for Autonomous Vehicles, focusing on Computer Vision and Machine Learning for offline perception tasks. Responsibilities include advancing DL components for training and inference, developing tools for large datasets, and integrating DL algorithms into large-scale pipelines. | DataServe | 8 |
| Developer Technology Engineer, AI NVIDIA Developer Technology Engineer focused on optimizing core parallel algorithms and data structures for GPUs, specifically working with LLM training frameworks and performance optimization. Collaborates with application developers and internal NVIDIA teams to improve performance and developer efficiency. | Data | 8 |
| Senior Scientist, Synthetic Data and Privacy This role focuses on research and development of synthetic data generation and privacy-preserving AI techniques, contributing to open-source libraries within the NVIDIA NeMo ecosystem. It involves building advanced pipelines, researching privacy methods like DP-SGD and NER for PII, and designing software libraries. The role requires a PhD, significant research experience in data privacy and synthetic data, a strong publication record, and expertise in PyTorch, HuggingFace, and LLM inference frameworks. | DataPost-train | 8 |
| Senior Research Engineer, Simulation NVIDIA is seeking a Senior Research Engineer specializing in physics simulation for their General Embodied Agent Research (GEAR) group, focusing on Project GR00T, an initiative to build foundation models and full-stack technology for humanoid robots. The role involves developing and optimizing simulation environments, implementing control algorithms, building procedural generation pipelines, and deploying learned models to physical robots, with a strong emphasis on sim2real transfer. | DataShip | 8 |
| Lead Engineer, Healthcare Data Operations and Strategy Lead engineer responsible for defining strategy and architecting/building the MLOps platform for NVIDIA's healthcare data programs, ensuring data quality, governance, and serving for model training and evaluation. | Data | 7 |
| Senior Architecture Energy Modeling Engineer NVIDIA is seeking a Senior Architecture Energy Modeling Engineer to develop and deploy methodologies for energy-efficient products, focusing on building Machine Learning based power models for GPUs, CPUs, and Tegra SOCs. The role involves collaborating with various engineering teams to analyze and reduce power consumption, improve model accuracy, and integrate power models into simulation platforms. | Data | 7 |
| Senior Manager, Machine Learning Ops Engineering - Automotive Senior Manager, Machine Learning Ops Engineering - Automotive at NVIDIA, leading the development and operation of large-scale data and ML pipelines for autonomous driving, focusing on data ingestion, processing, and validation for training and evaluation datasets. | DataEval Gate | 7 |
| Solutions Architect Intern, Robotics - 2026 NVIDIA is seeking a Solutions Architect Intern focused on Robotics to support local partners and customers in Japan. The intern will work on setting up data augmentation pipelines and analyzing synthetic data's impact on VLA performance and generalizability, using tools like Isaac Sim and Cosmos. | DataAgent | 7 |
| Software Engineer, Robotics - Isaac Lab Software Engineer role focused on building and maintaining CI/CD pipelines, automation, and performance optimization for a large-scale robotics simulation and learning platform (Isaac Lab). The role involves infrastructure for ML and simulation systems, benchmarking, profiling, and supporting issue triage. | DataAgent | 7 |
| Software Engineer, Robotics - Isaac Lab Software Engineer for NVIDIA's Isaac Lab team, focusing on developing and extending physics simulation APIs for robot learning. The role involves debugging simulation issues, translating research into APIs, and engaging with the robotics community. Requires extensive Python and deep learning stack experience, with a strong background in physics simulation or robotics control, and experience in reinforcement learning and imitation learning. | DataAgent | 7 |
| Senior Architecture Energy Modeling Engineer NVIDIA is seeking a Senior Architecture Energy Modeling Engineer to research, develop, and deploy methodologies for energy-efficient products. This role involves building Machine Learning based power models for GPUs, CPUs, and SOCs, collaborating with various engineering teams, and integrating power models into simulation platforms to analyze and reduce power consumption. | Data | 7 |
| Principal Solutions Architect – Semiconductor Test This role focuses on defining and leading the technical strategy for semiconductor test, including modernizing test infrastructure and embedding data-driven intelligence. A key aspect is driving the adoption of AI/ML techniques for yield learning, outlier detection, predictive binning, and test time optimization within the semiconductor manufacturing and product engineering domains. The role requires extensive experience in semiconductor test engineering and a strong background in DFT architectures, with a preference for applying ML/AI to yield analysis. | Data | 5 |
| Manufacturing Test Engineer NVIDIA is seeking a Manufacturing Test Engineer to automate product definitions, data collection, test case execution, and results analysis. This role involves driving LPU&GPU diagnosis, qualifying equipment, and developing AI for production automation. The engineer will also assist with debug tools and product test setup. | Data | 5 |
| Power Architect - New College Grad 2026 This role focuses on architecting GPU power features and system-level power management solutions, including researching and developing solutions for energy efficiency problems in various GPU use cases. It also involves deploying machine learning techniques to create accurate power and performance models for GPUs and platforms. | Data | 5 |
| Senior Software Engineer, At Scale Compute Analysis This role involves analyzing large-scale datacenter workloads on GPU-accelerated clusters, turning telemetry and workload data into findings and visuals. It requires partnering with various engineering teams and applying ML/DL techniques for categorization and forecasting, integrating these into tools the team uses. The role emphasizes analyzing complex datasets, debugging data issues, communicating trends, and building practical visualizations and lightweight ML/DL implementations within existing workflows. | Data | 5 |
| Senior DFT Methodology - Data Analytics Engineer NVIDIA is seeking a Senior DFT Methodology - Data Analytics Engineer to work on pre-silicon and post-silicon data analytics, visualization, insights, and modeling. The role involves implementing new methodologies for chip quality improvement, applying algorithm design and statistical tools for data analysis, and exploring Applied AI and LLM-based solutions within the Design For Test space. The engineer will also mentor junior team members. | Data | 5 |
| Senior Technical Program Manager, ML Software Senior Technical Program Manager to lead software initiatives and develop Gen AI models for NVIDIA's AI researchers and engineers. The role involves guiding engineering programs using industry best practices, managing cross-company partners, planning, forecasting, scheduling, and reporting on program status. Requires strong program management expertise, experience with AI training environments, and knowledge of agile methodologies. | Data | 5 |
| Senior Data Engineer Senior Data Engineer at NVIDIA to lead data-driven decision-making and shape next-gen Data Center monitoring, analytics, and management platforms. Owns large-scale telemetry and analytics pipelines end-to-end, focusing on data quality, scalability, and architectural excellence. Partners with product and infrastructure teams, and co-designs analytics and ML-ready architectures with data scientists. | Data | 5 |
| Developer Technology Intern, High-Performance Databases - Summer 2026 NVIDIA is seeking a Developer Technology Intern to research and develop techniques for GPU-accelerating machine learning applications, focusing on optimizing data storage and ingestion pipelines for AI workloads. The intern will profile, analyze, and implement optimizations for high-performance computing fields, collaborating with experts to leverage new hardware features and develop novel parallel algorithms. | Data | 5 |
| CAD Layout Design Engineer NVIDIA is seeking a CAD Layout Design Engineer to join their Layout Methodology team. The role involves studying new technologies, creating digital IP for layout work, and investigating the application of ML/DL/LLM techniques for layout creation. The ideal candidate will have 5+ years of experience in SRAM/Analog layout design, proficiency in Cadence SKILL and Python/Perl/Shell scripting, and experience with PCELL development. | Data | 5 |
| Software Engineer, CUDA-Q Libraries Software engineer to build the CUDA-Q platform for programming hybrid quantum-classical multi-processor systems, focusing on developing analysis libraries, implementing AI decoding algorithms, and building AI training infrastructure for QEC. | DataServe | 5 |
| Architecture Energy Modeling Engineer NVIDIA is seeking an Architecture Energy Modeling Engineer to develop and deploy methodologies for energy-efficient GPU products. This role involves building energy models using ML and statistical techniques, analyzing power consumption of GPUs and AI workloads, and integrating these models into design and simulation platforms. The goal is to influence architectural and design improvements for energy efficiency. | Data | 5 |
| Software Architect, Advanced Development Research Scientist intern role focused on cutting-edge research in Networking, Security, and Communications, developing HW architecture models, simulations, and SDKs. The role involves working with AI systems for intelligent networking and optimizing application performance. Requires a B.Sc. or M.Sc. and a track record of research excellence. | Data | 5 |