Currently tracking 440 active AI roles, down 50% 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).
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.
| Title | Stage | AI score |
|---|---|---|
| Senior Solutions Architect, Financial Services Capital Markets NVIDIA is seeking a Senior Solutions Architect for Financial Services Capital Markets to work with clients on High-Performance Computing and AI workloads. The role involves performing proof-of-concepts, optimizing ML/DL models on GPU architectures, and building collateral for finance industry use cases. Requires strong Python/C++ coding, experience with ML frameworks, and deploying models at scale. | ServePost-train | 7 |
| Senior Software Solutions Architect - NVIS Senior Software Solutions Architect at NVIDIA, focusing on helping customers deploy and integrate NVIDIA's AI and machine learning software stacks (like NVIDIA AI, Run:ai, Mission Control) into their existing MLOps environments. This involves collaborating with infrastructure admins, data scientists, and ML engineers, developing integration scripts, diagnosing performance issues, and improving deep learning model performance within cloud-native environments. |
| Serve |
| 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 Manager, Site Reliability Engineering Senior Manager of Site Reliability Engineering to lead and reshape IT operations at scale, building AI-powered systems for reliability, speed, and employee experience. Focuses on transforming Incident, Problem, and Change Management using observability, AI insights, and orchestration to move towards predictive and autonomous operations. | Serve | 7 |
| Senior Software Engineer, Drive-Alpha Engineering - Autonomous Vehicles Senior Software Engineer role focused on the integration, testing, and sign-off of NVIDIA's Autonomous Vehicles (AV) Drive-Alpha solution, which is powered by AI and accelerated computing. The role involves providing technical feedback on the SW stack's quality, identifying and fixing weak links, driving the RCCA process for continuous improvement, and coordinating efforts across multiple collaborators and component teams. The engineer will also contribute production-quality code when necessary. | AgentServe | 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 |
| Senior Software Systems Engineer, L3 and L4 - Autonomous Driving Senior Software Systems Engineer role focused on L3 and L4 autonomous driving products at NVIDIA. Responsibilities include developing use cases, system requirements, performance analysis, formulating test cases, and defining test strategies. Requires strong experience in safety-critical systems engineering, SOTIF, functional safety, and understanding trade-offs between deep learning and classical approaches. | AgentServe | 7 |
| Senior Software Engineer, Parking - Autonomous Vehicles Senior Software Engineer for NVIDIA's Autonomous Vehicles team, focusing on building groundbreaking technology at the intersection of automotive and robotics for parking and driving features. The role involves designing and implementing planning algorithms in C++ and supporting deployment on test vehicles. | Agent | 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 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 |
| Senior Solutions Architect, AI Compute – NPN Senior Solutions Architect for AI Compute at NVIDIA, focusing on deploying, managing, and validating AI Compute/HPC infrastructure for enterprise customers and partners. Requires strong Linux system administration, scripting, and cluster management skills, with experience in benchmarking tools and Kubernetes. | Serve | 7 |
| Senior AI Compute Engineer - NVIS This role focuses on deploying, managing, and validating AI Compute/HPC infrastructure in Linux environments for NVIDIA's customers. It involves system design, networking, automation, and customer interaction to support large-scale AI projects. The role requires strong Linux system administration, scripting, and experience with cluster management and benchmarking tools like MLPerf. | Serve | 7 |
| Solutions Architect - AI Networking and Storage Solutions Architect role focused on helping OEM customers build enterprise AI solutions using NVIDIA's AI technology, specifically focusing on the networking and storage demands for Generative AI, LLMs, and Deep Learning. The role involves architecting storage solutions, training partners, and acting as a technical authority on NVIDIA products, with an emphasis on high-performance storage systems and large-scale cluster bring-up. | ServeAgent | 7 |
| Senior Solutions Architect, GPU Performance and LLM - Cloud Service Providers Senior Solutions Architect at NVIDIA focused on helping large customers build and optimize AI/ML and HPC software solutions, particularly involving LLM training and inference on NVIDIA's hardware and software stack. The role involves deep technical engagement with customers, performance analysis, and solution development. | ServePretrain | 7 |
| Senior Solutions Architect – Simulation Solutions 3D Reconstruction Senior Solutions Architect focused on simulation and AI platforms, specifically 3D Neural Reconstruction and Generative Video models. The role involves prototyping, implementing technical solutions with partners, providing technical enablement, and advocating for partner needs within NVIDIA. Key responsibilities include guiding research in 3D reconstruction and integrating innovations into autonomous simulation pipelines. | AgentServe | 7 |
| Manager, AI Networking Performance Research and Analysis Manager for AI Networking Performance Research and Analysis at NVIDIA, focusing on optimizing networking technologies (NIC, Switch) for AI workloads like LLM training and inference. The role involves end-to-end performance strategy, from pre-silicon modeling to GA, and building telemetry frameworks and dashboards for performance tracking and root cause analysis. Requires strong experience in high-performance networking, cluster performance, and managing engineering teams, with a focus on Python, Bash, and C/C++. | ServeAgent | 7 |
| Senior Software Engineer, AI Inference Senior Software Engineer focused on optimizing and scaling AI inference for large language models, working with customers and contributing to open-source projects like vLLM. | Serve | 7 |
| Senior Software Engineer, Machine Learning Inference Senior Software Engineer role focused on designing and implementing inference software optimizations for NVIDIA TensorRT and TensorRT-LLM to accelerate AI applications on NVIDIA GPUs. Involves C++, Python, and CUDA development, collaboration with AI experts, and optimization of deep learning frameworks and compilers. | Serve | 7 |
| Senior Math Libraries Engineer - Sparsity in AI Software engineer to design and develop C++ libraries and tools for unstructured sparsity in Deep Learning (DL) and High-Performance Computing (HPC) on NVIDIA GPUs. This involves DSL specifications, on-demand code generation, and enabling the system in Python/PyTorch. The role focuses on performance evaluation, library quality, and collaboration with product management. | Serve | 7 |
| Senior Software Engineer, JAX Senior Software Engineer focused on performance optimizations for JAX, a deep learning framework, to build a scalable platform for data, training, and analysis. The role involves developing core JAX components, working with AI researchers, and building tools to improve AI system development efficiency. | Serve | 7 |
| Senior AI and FSI Developer Technology Engineer Senior AI and FSI Developer Technology Engineer at NVIDIA focused on optimizing AI and HPC workloads on NVIDIA CPUs and GPUs for the financial services industry. The role involves researching, designing, and developing techniques to accelerate these workloads, profiling and eliminating performance bottlenecks, and collaborating with internal and external experts to influence future hardware and software designs. The engineer will also publish and present their work. | Serve | 7 |
| Developer Relations Manager, Financial Services NVIDIA is looking for a Principal Developer Relations Manager for Financial Services to lead strategic engagement with developers and software providers to accelerate the adoption of NVIDIA's AI and computing platforms. The role involves acting as a technical advisor, integrating NVIDIA's software stack into partner products, guiding partners through onboarding, analyzing the developer ecosystem, and collaborating with internal teams and partners to drive AI adoption in financial services. | Serve | 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 HPC Solutions Architect This role focuses on supporting NVIDIA's AI factory deployments by assisting with the deployment, debugging, and optimization of AI workloads on NVIDIA platforms. The Senior HPC Solutions Architect will work with customers to identify and resolve cluster performance and stability issues, benchmark framework features, and guide customers in scaling workloads on NVIDIA GPUs. The role requires strong networking and system-level understanding, with experience in large-scale training workloads and parallel applications. | Serve | 7 |
| Autonomous Agent Engineer NVIDIA is seeking an Autonomous Agent Engineer to build the infrastructure for secure and autonomous AI agent execution. This role involves designing and shipping SDKs, CLIs, and developer tooling for sandboxed compute environments, state management, and security boundaries for AI agents. The position requires strong systems engineering skills, experience with distributed systems and developer platforms, and proficiency in languages like Python or Go. Experience with agentic AI systems, sandboxing technologies, and security fundamentals is highly desirable. | AgentServe | 7 |
| Senior Software Engineer, DL Compilers Senior Software Engineer role focused on building the code generation backend for NVIDIA's deep learning compilers, connecting ML frontends to GPU compilation for high-performance kernel generation. | Serve | 7 |
| Senior Software Engineer - NIM Factory Container and Cloud Infrastructure Senior Software Engineer role focused on container and cloud infrastructure for NVIDIA Inference Microservices (NIMs) and hosted services. The role involves designing and implementing container strategies, building enterprise-grade software for container build, packaging, and deployment, and improving reliability, performance, and scale across thousands of GPUs, with a focus on disaggregated LLM inference. | Serve | 7 |
| Developer Technology Engineer, HPC and AI NVIDIA is seeking a Developer Technology Engineer to research, develop, and optimize deep learning, machine learning, and HPC workloads on NVIDIA's accelerated computing platform. The role involves working with customers and internal teams to address real-world use cases and performance challenges. | Serve | 7 |
| Senior Machine Learning Applications and Compiler Engineer, LPX 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 map neural network workloads onto future NVIDIA platforms. Responsibilities include building and maintaining high-performance runtime and compiler components for end-to-end inference optimization, defining workload mappings, extending the SW ecosystem, benchmarking, profiling, and collaborating with hardware architects. The role involves prototyping new compilation and runtime techniques and publishing technical work. | Serve | 7 |
| Solution Architect – Accelerated Computing Libraries NVIDIA is seeking a Solution Architect to drive the adoption of their AI and accelerated computing libraries across industries. The role involves understanding customer workloads, designing solutions using NVIDIA libraries for LLM inference and training acceleration, and collaborating with product teams to improve features and performance. The candidate will also build technical assets and analyze industry trends. | Serve | 7 |
| Senior Software Engineer, Developer Experience Senior Software Engineer focused on integrating Agentic AI and ML into the software development lifecycle to create an intelligent ecosystem for developers, predicting failures, automating triage, and improving feedback loops. This involves building predictive models, AI agents for build/test selection, and LLM-based solutions for workflow automation. | Agent | 7 |
| Senior Math Libraries Engineer – AI and HPC Senior engineer to join NVIDIA's Math Libraries team, focusing on kernel generation for AI and HPC, specifically matrix operations, JITing, and fusions. The role involves designing and implementing high-performance numerical dense linear algebra software on GPUs, providing technical leadership, and collaborating with product management. | Serve | 7 |
| Senior Manager, Software Engineering - Agentic Automation Senior Manager, Software Engineering at NVIDIA focused on leading a team to design and deliver enterprise-grade agentic AI solutions, including LLM-based agents, RAG, and orchestration, with a strong emphasis on full-stack ownership, automation, and roadmap definition. | AgentServe | 7 |
| Senior HPC Cluster Administrator - Deep Learning Frameworks Infrastructure NVIDIA is seeking a Senior HPC Cluster Administrator to manage large-scale GPU compute clusters for deep learning training, inference, and HPC workloads. The role involves full lifecycle management, automation, performance optimization, and collaboration with ML engineers and software teams. | Serve | 7 |
| Senior Manager, Software Engineering - Platform Operations Senior Manager, Software Engineering at NVIDIA to lead the development of next-generation AI-driven solutions on the ServiceNow platform, focusing on enterprise integrations and agentic AI paradigms like RAG. | Agent | 7 |
| Senior Solutions Architect, Supercomputing Senior Solutions Architect role focused on engaging with customers and partners to develop and support applications and platforms leveraging NVIDIA technology, particularly in HPC, Machine Learning, AI Physics, Foundation Modeling, Physical AI, and Agentic AI. Requires a strong technical background, customer-facing experience, and knowledge of modern AI architectures. | Agent | 7 |
| Senior Manager, GPU Cloud Infrastructure - GeForce NOW Senior Manager to lead the design, scaling, and operations of high-performance networking for GPU-based cloud infrastructure, critical for cloud gaming, AI/ML training, and inference platforms. | Serve | 7 |
| Senior Solutions Architect, Generative AI Deployment and AIOps Senior Solutions Architect focused on deploying Generative AI and LLMs, optimizing inference performance on Kubernetes, and collaborating with customers and internal teams on NVIDIA's AI platforms. | Serve | 7 |
| Principal Software Engineer — Agentic AI Applications and Foundations Principal Software Engineer to lead the development and hardening of agentic AI applications and infrastructure within NVIDIA's Enterprise AI team. This role focuses on improving reliability, performance, and scalability of AI products, designing resilient systems, establishing operational excellence, and building reusable capabilities for agent domains. The position requires deep expertise in production software systems, full-stack development, and modern AI application patterns, with a strong emphasis on turning prototypes into mature, well-operated production systems. | Agent | 7 |
| Senior Deep Learning Test Development Engineer, SDET Senior Deep Learning Test Development Engineer (SDET) at NVIDIA's AI SWQA team, responsible for validating the robustness and performance of NVIDIA's AI software and GPU Infrastructure across various AI scenarios. The role involves test planning, design, execution, automation, and bug management, with a focus on improving workflow processes and efficiency. Experience with LLM inference frameworks and AI development tools is required. | Serve | 7 |
| Senior AI and LLM Solutions Software Engineer Software Engineer role focused on developing AI and LLM-based solutions to enhance chip design and verification processes. Requires 5+ years of software development experience with at least 2 years in AI/LLM solutions. | Agent | 7 |
| Senior Staff AI Platform Engineer Senior Staff AI Platform Engineer at NVIDIA responsible for building, supporting, and maintaining AI-native infrastructure for enterprise products. This role involves architecting and scaling LLM/ML infrastructure, designing observability for AI models, developing automation, and troubleshooting complex distributed systems. The engineer will also drive AI-assisted engineering practices and partner with product teams to deliver scalable AI solutions. | ServeAgent | 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 |
| Senior Technical Program Manager, Agentic AI This role is for a Senior Technical Program Manager at NVIDIA, focused on building and scaling AI-powered infrastructure for hardware and silicon development. The TPM will drive cross-functional programs to integrate AI capabilities like chatbots and agents into chip design, verification, and production workflows, collaborating with AI engineers, hardware teams, and platform groups. The role emphasizes influencing technical direction and delivering AI systems that transform engineering processes. | Agent | 7 |
| Senior Engineer - Deep Learning Compiler Verification and Infrastructure Senior Engineer focused on Deep Learning Compiler Verification and Infrastructure at NVIDIA. The role involves implementing compiler verification software and related infrastructure to accelerate deep learning workloads, working closely with compiler developers on functional and performance testing, and applying deep learning techniques to verification solutions. | Serve | 7 |
| Senior Software Engineer, Deep Learning Inference - Automotive Safety Senior Software Engineer focused on developing high-performance deep learning inference software for safety-critical automotive applications using C++. The role involves integrating hardware functionalities into TensorRT, optimizing performance, and ensuring rigorous safety validation and documentation. | Serve | 7 |
| Senior Software Engineer, Deep Learning Inference - TensorRT NVIDIA is seeking a Senior Software Engineer to develop and scale a state-of-the-art inference framework for accelerating Deep Learning models, particularly LLMs, on NVIDIA GPUs using TensorRT. The role involves crafting inferencing software, developing components of TensorRT, and optimizing the deployment of trained models using C++ and Python. | Serve | 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 |