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 Research Manager, World Model Evaluation Lead a research team focused on world-model evaluation and benchmarking for NVIDIA's Physical AI portfolio, defining the scientific roadmap for closed-system and open-system evaluations, developing benchmarks for various physical AI capabilities, and driving evaluation-to-model-improvement loops. The role requires publishing high-quality papers and establishing rigorous standards. | Eval GatePost-train | 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 AI Security Researcher Senior AI Security Researcher at NVIDIA focusing on testing, attacking, defending, and safely deploying frontier AI systems, agentic applications, and AI-enabled security automation. The role involves developing new methods, tools, and evaluations to understand and mitigate security risks across various AI components. | Eval GateAgent | 9 |
| Senior ML Evaluation Engineer - Autonomous Vehicles NVIDIA is seeking a Senior ML Evaluation Engineer for their Autonomous Vehicles team. The role involves designing and building learned evaluation pipelines using LLMs, VLMs, and agentic workflows to assess driving behavior. The engineer will define evaluation methodologies, build golden-set frameworks, and contribute to the transition from rule-based to learned evaluation systems. This position requires a strong background in ML system development, software engineering, and experience with large-scale data processing, with a focus on shipping production ML systems. | Eval GateAgent | 9 |
| Senior Deep Learning Engineer - Model Evaluation & AI Systems Senior/Principal Deep Learning Engineer focused on building evaluation methodologies and infrastructure for AI models (LLMs, RAG, agents, vision/multimodal), including contributing to an open-source platform and collaborating with the community. The role involves working with model training, inference, and product teams to provide evaluation signals for release and optimization decisions. | Eval GateAgent | 9 |
| Senior Software Engineer, Agentic Systems Senior Software Engineer to build NeMo Platform, focusing on NeMo Evaluator for developing, evaluating, deploying, and operating AI systems at scale. The role involves designing and implementing Python APIs, SDK workflows, and plugin interfaces for building, measuring, and improving agents, with a strong emphasis on agentic development and automated improvement. | Eval GateAgent | 7 |
| Senior Validation Analyst - Autonomous Vehicles This role focuses on improving the evaluation framework for autonomous vehicles, specifically for metric evaluation of vehicle-level behavior at scale. It involves enhancing the analytics framework and data pipeline, leveraging cloud platforms for large-scale metric evaluation and testing, and analyzing driving logs for behavior analysis and statistical analysis. | Eval GateData | 7 |
| Principal Validation Analyst - Autonomous Vehicles Principal Validation Analyst Engineer for Autonomous Vehicles at NVIDIA. This role focuses on developing and owning the system architecture for AV evaluation and validation, including data ingestion, metric calculation, and reporting. The engineer will establish technical standards, lead cross-team efforts, and architect scalable cloud and GPU-accelerated compute strategies for large-scale metric evaluation. The role also involves mentoring engineers and representing NVIDIA's validation approach externally. | Eval GateAgent | 7 |
| Validation Data Scientist, Verification and Validation - Autonomous Vehicles The Validation Data Scientist will build tooling, perform large-scale analysis, and drive data-driven evaluation of vehicle-level behavior and Operational Design Domain (ODD) coverage during scaled testing for autonomous vehicles. This role involves building and improving evaluation frameworks, data pipelines, and data curation strategies, defining core metrics, and automating scalable workflows using cloud platforms and AI. The goal is to influence product development, technical reviews, and software releases by providing quantitative analyses and clear reporting. | Eval GateData | 7 |
| Validation Data Engineer, Verification and Validation - Autonomous Vehicles NVIDIA is seeking a Validation Data Engineer for its Autonomous Vehicles team. The role involves building tooling, performing large-scale analysis, and driving data-driven evaluation of vehicle-level behavior and ODD coverage using real-world and virtual AV driving logs. Responsibilities include implementing evaluation frameworks, data pipelines, and data curation strategies, defining core metrics, and contributing to scalable workflows using cloud platforms and AI. The ideal candidate has 5+ years of experience in data engineering or analytics, strong Python skills, and experience with autonomous vehicle behavior analysis. | Eval Gate | 7 |
| SWQA Development Engineer Software QA Development Engineer at NVIDIA responsible for test planning, execution, and reporting, including writing scripts for test automation, designing and developing tools for the QA team, and developing integration tests. The role requires experience with AI development tools, model testing, and LLM benchmarking. | Eval Gate | 7 |
| Software Development Engineer in Test - SDET Software Development Engineer in Test (SDET) at NVIDIA, focusing on testing AI development tools, model testing, and LLM benchmarking. Responsibilities include test planning, execution, automation, and bug management. Requires proficiency in Unix/Linux, Python, API/UI automation, and experience with AI tools and LLM benchmarking. | Eval Gate | 5 |
| Senior Software Development Engineer in Test - SDET Senior Software Development Engineer in Test (SDET) at NVIDIA, responsible for test planning, execution, automation, and bug lifecycle management. The role requires experience with AI development tools, model testing, and LLM benchmarking, with a focus on ensuring product quality. | Eval Gate | 5 |
| SWQA Development Engineer Software QA Development Engineer at NVIDIA responsible for test planning, execution, and reporting, including script automation, tool development, and integration testing to improve productivity and optimize test plans. Focuses on identifying weak spots and designing creative test plans to ensure product quality. | Eval Gate | 5 |
| Senior SWQA Test Developer Engineer, SDET Senior Software QA Test Developer Engineer at NVIDIA responsible for test planning, execution, and reporting, automating testing, and designing/developing tools for the QA team. The role involves identifying weak spots, creating test plans, and ensuring product quality, with a focus on AI development tools, model testing, and LLM benchmarking. | Eval Gate | 5 |