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 |
|---|---|---|
| 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 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 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 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |