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 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 Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles NVIDIA is seeking a Senior Perception Engineer to design and productize its next-generation autonomous driving perception stack. The role focuses on the core 3D obstacle perception pipeline, involving architecture and algorithm design, and hands-on implementation using transformer-based, multi-modal, and vision-language techniques. Responsibilities include developing perception models, building production-grade deep learning models with pretraining and fine-tuning, defining KPI frameworks, contributing to data strategy, and collaborating with safety and systems teams. Requires a PhD/MS/BS with significant relevant experience, proficiency in PyTorch, Python/C++, and experience in data-driven development. Experience with autonomous driving/robotics perception, embedded platforms, optimization, and publications in leading conferences are desirable. |
| ShipPost-train |
| 9 |
| Principal Deep Learning Engineer – Perception, Autonomous Driving Principal Deep Learning Engineer for NVIDIA's Autonomous Driving Perception team, focusing on developing, training, and deploying state-of-the-art perception systems (detection, segmentation, tracking) for vehicles. The role involves leading the end-to-end productization of these models, ensuring high quality and safety, defining data strategy, and providing technical leadership. Requires extensive experience in deep learning for computer vision and shipping commercial DL products. | ShipServe | 9 |
| Director of Engineering, End to End Autonomous Driving NVIDIA is seeking a Director of Engineering to lead the design and deployment of end-to-end autonomous driving systems. This role focuses on leveraging LLMs, VLMs, and VLAs for advanced planning and reasoning in vehicles and robotics, involving strategic leadership, team management, and technical oversight of ML model development and integration into safety-critical production environments. | ShipPost-train | 9 |
| Director, Perception - Autonomous Vehicles Director of Perception for Autonomous Vehicles at NVIDIA, leading teams to develop and deploy state-of-the-art deep learning models for real-time 3D world reconstruction and navigation. This role involves end-to-end ownership of the ML lifecycle, from data generation to deployment on NVIDIA DRIVE platforms, with a strong emphasis on safety-critical systems and cross-functional collaboration. | ShipData | 9 |
| Senior Manager, AlpaSim and AlpaDreams Production Engineering leader to scale NVIDIA's interactive world-model platform (OmniDreams, FlashDreams, AlpaSim) into an industry standard, focusing on production engineering, performance, and developer ecosystem growth for applications in AV, robotics, rendering, and simulation. | ShipServe | 8 |
| Senior Systems Software Engineer, Semiconductor Systems Inspection Senior Software Engineer to develop AI products for semiconductor inspection, focusing on computer vision, multimodal AI, anomaly detection, model compression, and deployment optimization. The role involves building models, adaptation workflows, and inference pipelines for production environments, with a focus on advancing roadmap progress and delivering practical systems. | ShipServe | 8 |
| Software Engineering Manager, Robotics Neural Reconstruction and Real2Sim Applications NVIDIA is seeking an Engineering Manager to lead a team focused on robotics Neural Reconstruction & Real2Sim Applications, advancing technologies for creating digital twins and workflows at scale for physical AI. | ShipData | 8 |
| Senior Systems Engineer, Neural Graphics Senior Systems Engineer role focused on integrating AI and traditional rendering techniques for real-time visual experiences. The role involves taking innovative techniques like AlpaDreams and driving them into production-ready, real-time pipelines, owning the end-to-end path from prototype to shipping product, and solving complex systems challenges related to latency, memory, and throughput. Requires deep expertise in graphics and AI, with a strong track record of shipping impactful products and experience with systems-level thinking. | ShipAgent | 8 |
| Senior Research Engineer, Robotics Systems Senior/Principal Engineer in robotics systems, focusing on foundation models and full-stack technology for humanoid robots. Responsibilities include designing teleoperation software, optimizing control stacks, deploying neural network models on hardware, and collaborating on the MLOps lifecycle. Requires strong robotics and software engineering background, with experience in real-time control and deploying ML models on robotic hardware. | ShipData | 8 |
| Senior Perception Engineer - Autonomous Vehicles Senior Perception Engineer at NVIDIA focused on developing and productizing autonomous driving solutions using deep learning and multi-sensor fusion. The role involves applied research, algorithm development, and ensuring solutions meet production requirements for safety, latency, and robustness. | ShipPost-train | 8 |
| Director, Isaac for Healthcare Engineering Director of Engineering for NVIDIA's Isaac for Healthcare initiative, focusing on building a platform for healthcare robotics companies to develop, simulate, train, and deploy physical AI systems. The role involves platform leadership, team building, partner enablement, technical strategy, and cross-functional collaboration, with a strong emphasis on shipping sophisticated software platforms at scale. | ShipData | 8 |
| Senior Manager, Robotics Quality Assurance Senior Manager, Robotics Quality Assurance to lead test engineering strategy, automation, and execution for Nvidia's robotics products. This includes validating hardware/software on Jetson, testing AI foundation models (Isaac GR00T), building simulation infrastructure (Isaac Sim/Lab), and ensuring sim-to-real transferability for AI-driven robot policies. | ShipData | 7 |
| Lead Software Engineer – Robotics Platform Lead Software Engineer for NVIDIA's Robotics Platform, focusing on end-to-end solutions for training, simulation, and deployment of Physical AI on robots. The role involves leading development of core platform features, building reference integrations, and optimizing for NVIDIA hardware, with an emphasis on performance, reliability, and leveraging AI for development acceleration. | ShipAgent | 7 |
| Senior Manager, AlpaSim and AlpaDreams Production Engineering leader to productize neural simulation technologies (AlpaDreams, AlpaSim) for AV and robotics, building a team and scaling an open-source platform by integrating research findings into a modular, production-ready system. | ShipServe | 7 |
| Senior Solutions Architect - Autonomous Vehicles Senior Solutions Architect role focused on integrating and deploying scalable solutions for autonomous vehicles using NVIDIA's platform. Responsibilities include leading vehicle software integration, driving use case analysis, defining requirements, and optimizing processing pipelines. Requires strong C/C++, Python, system performance evaluation, and experience with automotive design processes and standards. | Ship | 7 |
| Senior Software Engineer, Humanoid Robotics Senior Software Engineer role focused on shaping the future of autonomous machines and building/deploying scalable robotic solutions, with a focus on humanoid robotics. Responsibilities include crafting application software architecture, scaling deployment of new technologies, integrating hardware/software, and providing technical guidance. Requires experience in robotics, ML/RL, and software development, with a strong plus for GPU programming/CUDA and sim-to-real transfer. | ShipAgent | 7 |
| Senior Data Analysis Engineer, AD Metrics - Autonomous Vehicles Senior Data Analysis Engineer role focused on critical metrics for autonomous driving (AD) products. The role involves defining performance, supervising test events, analyzing trends, improving triage efficiency, and automating metric generation for dashboards. It requires strong technical ability, scripting experience, and leadership to support AV software development and release. | Ship | 7 |
| Senior Software Triage Engineer - Autonomous Vehicles Senior Software Triage Engineer for Autonomous Vehicles at NVIDIA, focusing on debugging, root cause analysis, and improving the quality of AV software through triage and evaluation. | Ship | 7 |
| Senior Software Engineer - Autonomous Vehicles Senior Software Engineer for Autonomous Vehicles at NVIDIA, focusing on integrating ML and classical trajectory planners within a safety-oriented framework for SAE Level 3/4 autonomy. The role involves architectural work, establishing safety frameworks, building minimum-risk planning, and designing scalable architectures for self-driving products. | ShipAgent | 7 |
| Lead Safety Architect - Autonomous Vehicles Lead Safety Architect for NVIDIA's autonomous vehicle technology, focusing on integrating safety measures into DRIVE products and ensuring safety at scale. This role involves defining safety architecture, requirements, and metrics, and improving processes for safety analysis and data-driven evaluation. | ShipEval Gate | 7 |
| Senior QA Automation Engineer — Network AI Platform Senior QA Automation Engineer for NVIDIA's Network AI platform team, focusing on testing AI/ML-powered network solutions, including AI algorithms and multi-cloud integrations for enterprise-scale network monitoring and automation. Requires strong Python automation, networking knowledge, and experience with API and system testing. | Ship | 7 |