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 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).
| Title | Stage | AI score |
|---|---|---|
| Software Engineer, Neural Graphics Developer Tools Software Engineer role focused on developing developer tools for NVIDIA GPUs, specifically bridging AI and graphics for next-generation workflows. The role involves improving existing tools, creating new ones, and collaborating with research and architecture teams to enhance rendering performance and visual quality using AI techniques. | Serve | 7 |
| Principal Software Engineer - DGX Cloud Principal Software Engineer for NVIDIA's DGX Cloud team, focusing on building and scaling foundational systems for high-performance GPU infrastructure. The role involves leading the development of next-generation APIs, state management, and workflow orchestration systems to automate fleet lifecycle operations at scale, integrating AI schedulers and observability tools. | Agent |
| 7 |
| Senior Software Developer, AI Networking Senior Software Developer focused on AI Networking at NVIDIA, developing communication frameworks, production tools, and benchmarks for large-scale AI training and inference systems. The role involves enabling new AI models, analyzing workloads, designing automation, and collaborating with hardware teams. | ServeData | 7 |
| Senior ASIC Infrastructure Engineer Senior ASIC Infrastructure Engineer at NVIDIA, focusing on defining and deploying AI/ML applications to enhance chip design, debug, and verification processes. The role involves collaborating with hardware design teams, architecting AI/LLM solutions, and staying updated on AI/ML advancements. | Agent | 7 |
| Principal Architect, Camera ISP NVIDIA is seeking a Principal ISP Architect to lead the development of camera imaging technologies for AI applications in autonomous driving and robotics. The role involves driving innovation in image processing algorithms, including AI methods, and developing ISP architecture specifications. The position requires a Master's or Ph.D. with 12+ years of experience in ISP architecture and imaging science, proficiency in C/C++, MATLAB, Python, and DL frameworks, and experience with AI-based ISP technologies in real-time systems. | ShipServe | 7 |
| Senior Software Engineer for Robotics Research - Tooling Senior Software Engineer focused on building ML productivity tooling and CI/CD frameworks for robotics research, specifically for humanoid robots and foundation models. The role involves developing visualization tools, applying AI agents to improve programming efficiency, and collaborating with researchers to deliver full-stack solutions. | Agent | 7 |
| Senior Software Engineer - Autonomous Vehicles Senior Software Engineer role at NVIDIA focused on autonomous vehicle software, specifically Active Safety features and intervention logic. The role involves adapting NVIDIA Drive software, triaging and diagnosing complex issues in ADAS and autonomous driving systems, collaborating with teams to root cause problems, and supporting vehicle bring-up and validation. Requires strong background in ADAS development, proficiency in embedded environments, and understanding of Active Safety functions. Experience with C++, Python, sensor-based automotive software, and Euro NCAP protocols is advantageous. | ShipAgent | 7 |
| SoC Product Architect, Telecom AI RAN NVIDIA is seeking a Lead SoC Product Architect for their Telecom AI RAN platform, focusing on defining the architecture and roadmap for radio and distributed unit products. The role involves analyzing workloads, driving competitive analysis, synthesizing customer requirements, and collaborating with engineering teams to ensure efficient implementation of AI-native RAN applications. The ideal candidate will have extensive experience in wireless RAN/baseband architecture or SoC product definition, with a strong understanding of 3GPP RAN standards and L1/PHY algorithms. | Serve | 7 |
| AI Developer Technology Engineer NVIDIA is seeking an AI Developer Technology Engineer to enhance embodied AI responsibilities, develop on products like IsaacSim and Isaac Lab, profile and optimize GPU-based physics simulator performance, and collaborate with various teams to invent next-generation architectures and software platforms. Requires experience with C++, CUDA, Python, Linux, physics simulators, and prior involvement with embodied AI or humanoid robotics firms. | ShipData | 7 |
| Senior System Software Engineer - Neural Graphics Performance Senior System Software Engineer focused on optimizing neural graphics performance, specifically Gaussian Splatting and neural reconstruction algorithms, for applications in robotics, healthcare, and AV development. The role involves implementing and optimizing reconstruction/rendering algorithms using CUDA and Slang, optimizing data processing pipelines, and influencing software architecture for performance. | ServeData | 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 |
| Developer Relations Manager, Federal Government Developer Relations Manager for NVIDIA's Federal Government sector, focusing on autonomous drone systems. The role involves technical engagement with ISVs, primes, and venture-backed companies to promote NVIDIA's accelerated computing stack for edge inference, multi-agent coordination, and synthetic training environments. Requires deep technical credibility in robotics, onboard autonomy, or flight software, with a proven record of influencing partner roadmaps and delivering on DoD timelines. | ServeData | 7 |
| Senior System Software Engineer - Dynamo-Triton Inference Server Senior System Software Engineer to work on Dynamo-Triton Inference Server, a GPU-accelerated AI inference serving platform. The role involves developing high-performance inference software, contributing to feature development, driving customer adoption, and optimizing throughput and latency for both LLM and non-LLM workloads. | Serve | 7 |
| Senior Developer Technology Engineer - Windows AI Platform Senior Developer Technology Engineer focused on optimizing AI GPU deployment on the NVIDIA RTX platform for enterprise and consumer AI applications. This role involves profiling, debugging, training, and enhancing open-source LLM and GenAI software on Windows, collaborating with internal teams and external partners to improve performance and user experience. | Serve | 7 |
| Senior Solutions Architect, NVIDIA Cloud Partners - Mexico This role involves acting as a technical advisor and driver for customers and partners in designing, implementing, and deploying large-scale AI/HPC GPU infrastructure and applications. It focuses on integrating libraries, frameworks, and models, and delivering GenAI, AI, and ML solutions to production, with practical expertise in fine-tuning and deploying models. | ServePost-train | 7 |
| Senior Software Test Engineer, L3 and L4 - Autonomous Driving Senior Software Test Engineer for L3 and L4 autonomous driving products at NVIDIA. Responsibilities include developing test strategy, defining test plans, formulating test cases, collaborating with stakeholders, leading vehicle integration, and spearheading data triage and root cause analysis. Requires extensive experience in ADAS, system analysis, data analysis, software architecture, and mass-production launches of autonomous driving features, with a strong understanding of functional safety and AV sensor suites. | AgentServe | 7 |
| Senior Software Performance Engineer - AV Platform Senior Software Performance Engineer for Autonomous Vehicles platform, focusing on optimizing latency and throughput of L2/L3/L4 autonomous driving solutions on NVIDIA's heterogeneous hardware architectures. Requires strong C++ skills, parallel programming, performance analysis, and experience with GPGPU/CUDA. | ServeAgent | 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 |
| Software Engineering Intern, JAX - Fall 2026 Internship role focused on developing performance optimizations for deep learning frameworks using JAX, contributing to core components and tools for the NVIDIA AI platform. | Serve | 7 |
| Senior AI and ML HPC Cluster Engineer This role focuses on designing, implementing, and managing large-scale GPU compute clusters for AI/ML and HPC workloads. It involves infrastructure engineering, automation, and supporting researchers with performance analysis and optimization. The role requires expertise in cluster management, Linux administration, container technologies, scripting, and MPI workflows. | Serve | 7 |
| Developer Technology Engineer – AI NVIDIA Developer Technology Engineer focused on optimizing deep learning and machine learning workloads on NVIDIA's accelerated computing platform (GPU, CPU, DPU) for key customers. Requires strong C/C++ and CUDA experience, with an MS/PhD in CS or related field. | Serve | 7 |
| Manager, Solutions Architecture - Continuous Bringup and Optimization Manager of Solutions Architecture focused on leading a team to consult, optimize, and improve the resiliency of customer AI factory infrastructures, including GPU-accelerated systems and AI workloads. The role involves hands-on infrastructure analysis, tuning, and establishing optimization/monitoring methodologies for large-scale AI/HPC systems. | Serve | 7 |
| Senior Software Development Engineer, Motion Planning - Autonomous Vehicles Senior Software Development Engineer to develop key features for NVIDIA's autonomous driving platform, focusing on Trajectory planning and Motion Planning problems. The role involves leading the entire feature lifecycle from design to production, modeling vehicle behaviors, integrating perception and prediction data, and optimizing solver performance. | Agent | 7 |
| Manager, Software Architecture Manager for a systems and networking engineering team focused on building distributed AI communication systems (libraries, frameworks, system integrations) for GPUs, nodes, and storage. The role involves setting technical direction, leading execution, and fostering technical excellence within the team, with a focus on AI infrastructure problems. | Serve | 7 |
| Senior Formal Verification Engineer, GPU Kernels Senior Formal Verification Engineer for GPU Kernels at NVIDIA. The role focuses on developing verification tools that combine formal methods and AI to ensure the correctness of performance-critical GPU kernels, enabling their use in safety-critical systems. Responsibilities include designing and implementing new verification approaches, integrating AI into formal verification workflows, and building agents for task automation. | AgentServe | 7 |
| Senior Performance Engineer Senior Performance Engineer at NVIDIA focusing on optimizing AI and HPC workloads on GPU/CPU clusters. Responsibilities include profiling, benchmarking, identifying bottlenecks, and developing performance analysis tools, with a strong emphasis on high-performance networking and telemetry. | Serve | 7 |
| SWQA Test Developer SWQA Test Developer for embedded systems in AI, Retail, Healthcare, Media, Finance. Role involves using AI tools for QA automation, CI/CD, bug fixing, and building/automating workflows/agents. Also involves training/fine-tuning models for agent optimization and developing tests for embedded/GPU systems. Requires Python/C++ skills, Linux, and knowledge of Docker/cloud platforms. | Agent | 7 |
| Senior Software Engineer— Agentic AI Workflow Applications Senior Software Engineer to build AI and agentic engineering efforts for enterprise systems, focusing on automating workflows by connecting to core systems of record. The role involves designing and developing resilient systems, data integration, and implementing agentic automation using frameworks like LangChain. | Agent | 7 |
| Principal Cyber Security Engineer - Agentic Identity and Security This Principal Cyber Security Engineer role focuses on building core agentic identity and security capabilities for AI agents within NVIDIA's internal ecosystem. The role involves architecting and prototyping solutions for agent use cases across various environments, developing reusable tools and APIs, and collaborating with multiple teams to ensure secure and reliable agent operations. It requires strong software engineering, security, and identity expertise, with an emphasis on practical, production-ready systems. | Agent | 7 |
| Principal Software Engineering Lead — Enterprise Data Platforms Principal Software Engineer to lead engineering efforts in transforming enterprise systems with AI-infused automated solutions. This role involves architecting and delivering enterprise-grade AI applications and workflow platforms, building resilient end-to-end systems, and developing data integration capabilities for AI applications. Key responsibilities include building agentic workflow automation, defining agent interactions, and supporting orchestration patterns using frameworks like LangChain and LangGraph, while also operationalizing NVIDIA AI technologies. | AgentData | 7 |
| AI Factory CPU focused Solutions Architect This role focuses on designing, building, and maintaining large-scale HPC and AI infrastructure, specifically CPU-based solutions within the NVIDIA AI Factory. The Solutions Architect will enable customers in adopting end-to-end AI solutions, operationalizing large compute resources, and overcoming adoption barriers. The role involves deep technical understanding of NVIDIA's stacks and AI workflows. | ServeAgent | 7 |
| Senior Solutions Architect, AI Factory Infrastructure This role focuses on designing and implementing AI infrastructure solutions for customers, with a strong emphasis on AI inference at scale and physical AI simulations. It involves full-stack design, including hardware, workload orchestration, and application performance tuning, for hybrid cloud and on-prem deployments. | ServeAgent | 7 |
| Senior Software Engineer - Verification AI Infrastructure Senior Software Engineer focused on building and optimizing scalable software automation systems with AI/ML integration for NVIDIA's Data Center environments. The role involves developing automation and validation tools, improving system performance, and troubleshooting complex issues in distributed systems. | Serve | 7 |
| Senior Solutions Architect, Cloud Infrastructure and DevOps NVIDIA is seeking a Senior Cloud Infrastructure and DevOps Solutions Architect to advise on and guide the implementation of large-scale computational and AI infrastructure, focusing on Kubernetes-based platforms and automation for AI/HPC systems. | Serve | 7 |
| Senior Software Test Lead, L3 and L4 - Autonomous Vehicles Senior Software Test Lead for L3 and L4 autonomous driving products at NVIDIA. Develops test strategy, defines test plans, formulates test cases, and leads integration and validation efforts. Requires extensive experience in ADAS, software architecture, and autonomous vehicle development, with a strong understanding of functional safety and validation methodologies. | AgentServe | 7 |
| Solutions Architect, Supercomputing Solutions Architect role focused on engaging with customers and partners to support applications and platforms leveraging NVIDIA technology in HPC, ML, AI Physics, Foundation Modeling, and Agentic AI. Requires technical expertise, communication skills, and experience with modern AI architectures. | Agent | 7 |
| Senior Software Architect, AI Systems and Networking This role focuses on building and optimizing systems-level software for high-performance communication and memory management libraries essential for distributed AI workloads. It involves hardware-software co-optimization, profiling data movement, and integrating networking capabilities into AI serving stacks, bridging applied research and production engineering. | Serve | 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 Solutions Architect, AdTech and Media NVIDIA Solutions Architect focused on AdTech and Media, helping customers adopt NVIDIA's full-stack accelerated computing platform. This role involves technical advisory, proof-of-concept evaluations, deep analysis and optimization of AI/ML models and recommender systems, and translating customer feedback into product insights. The role requires strong Python/C++ coding, understanding of AdTech/MarTech, ML/DL frameworks, and deploying models at scale on cloud or on-premise environments. | ServeAgent | 7 |
| Deep Learning Kernel Software Performance Architect - New College Grad 2026 NVIDIA is seeking a Deep Learning Kernel Software Performance Architect to develop and analyze processor and system architectures that accelerate machine learning and data analytics applications. The role involves debugging deep learning software, developing analysis tools, and collaborating with various NVIDIA teams to optimize performance. | Serve | 7 |
| Solutions Architect, Inference Deployments NVIDIA is seeking a Solutions Architect to deploy and enhance AI inference solutions at scale using GPU technology and Kubernetes. The role involves building inference pipelines, orchestrating disaggregated inference, accelerating inference with various backends, and providing technical leadership to customers for enterprise AI deployments. | Serve | 7 |
| Senior Computer Vision and Deep Learning Hardware Architect NVIDIA is seeking an Autonomous Vehicle Performance Architecture Engineer to design, model, and verify state-of-the-art programmable vision accelerators (PVA) for automotive and robotics. The role involves optimizing software for autonomous driving solutions, analyzing and prototyping applications, building performance models for future architectures, and collaborating with teams to enhance PVA architecture. Requires a Masters/PhD, 3+ years of relevant experience, strong C/C++ and computer architecture skills, and performance modeling/optimization expertise. Experience in DSP programming, autonomous vehicle software, deep learning, computer vision, and self-driving cars is a plus. | ServePost-train | 7 |
| Senior Solutions Architect, NVIDIA Cloud Partners NVIDIA is seeking a Senior Solutions Architect to advise partners on deploying large-scale AI/HPC GPU infrastructure, integrating libraries, frameworks, and models, and delivering GenAI/AI/ML solutions to production. The role involves end-to-end technology solution integration and providing product strategy recommendations. | ServePost-train | 7 |
| Senior Solutions Architect, Financial Services Banking Senior Solutions Architect for Financial Services Banking at NVIDIA, focusing on accelerating High-Performance Computing and AI workloads. The role involves partnering with engineering, product, and sales teams, performing proof-of-concepts, optimizing ML/DL models on GPU architectures, and building collateral for finance industry use cases. Requires deep experience in ML/DL algorithms, frameworks, and deploying models at scale. | ServeAgent | 7 |
| Solutions Architect, AI Cloud Partner Performance NVIDIA Solutions Architect focused on enabling cloud partners to achieve elite performance and reliability for AI workloads, particularly LLM training and inference, by adopting reference architectures and optimizing GPU clusters. | Serve | 7 |
| Senior Software Engineer, NCCL Senior Software Engineer role focused on designing, implementing, and maintaining highly-optimized communication runtimes for Deep Learning frameworks and HPC programming interfaces on GPU clusters. This involves system software development, parallel programming interface contributions, and proof-of-concept creation for new designs and hardware features. | Serve | 7 |
| Senior ASIC Infrastructure Engineer NVIDIA is seeking a Senior ASIC Infrastructure Engineer to define and deploy AI/ML applications for chip design, debug, and verification. The role involves collaborating with hardware design teams, architecting novel tools, and staying updated on AI/ML advancements like LLMs, RAG, and GenAI to integrate them into the company's infrastructure. | Agent | 7 |
| Manager, Solutions Architecture - Data Center Specialists Manager for a team of infrastructure experts focused on delivering NVIDIA-powered AI Factories, advising partners on large-scale AI/HPC projects, and understanding AI workloads in relation to data center infrastructure. | Serve | 7 |
| Senior Solutions Architect, NPN This role focuses on designing, building, and operationalizing large-scale AI solutions, specifically Agentic AI, for customers through partners. It involves leveraging NVIDIA's technology stacks, including compute, networking, and software, to deploy AI factories and solve complex industry problems. The role requires strong expertise in HPC, AI clusters, and cloud-native methodologies, with a blend of technical guidance, proof-of-concept assistance, and knowledge sharing. | AgentServe | 7 |