NVIDIA
- HQ
- California, US
- Founded
- 1993
- Size
- 35,000+
- Website
- nvidia.com
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 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 107 new AI-related roles. That is a -49% change versus the prior 30 days (211 → 107).
| Title | Stage | AI score |
|---|---|---|
| Software Engineer, Build and Release - NVIDIA OpenShell Software Engineer focused on build, release, and CI/CD for a platform providing secure runtimes for autonomous AI agents. The role involves owning CI/CD systems, building multi-architecture release pipelines, improving release reliability, driving reproducible builds, managing quality gates, and debugging build/release failures. Experience with supply-chain hardening and various build/packaging tools is required. | — | 5 |
| DGX NPI System Product Development Engineer NVIDIA is seeking a System Product Development Engineer to lead the development and productization of DGX datacenter products and L11 rack-scale AI supercomputer reference platforms through mass production ramp. The role involves driving debug efforts, providing guidance to factories, developing production recipes, and collaborating with cross-functional teams to ensure manufacturing quality and efficiency for AI systems. | — | 5 |
| Technical Program Manager, Cloud Infrastructure |
| — |
| 5 |
| Senior Technical Program Manager, Cloud Infrastructure Senior Technical Program Manager for NVIDIA DGX Cloud, focusing on cloud infrastructure bring-up, AI capacity enablement, and program management. Requires extensive experience in cloud infrastructure, preferably with AI/ML exposure, and strong program management tool proficiency. | — | 5 |
| Senior Technical Program Manager, Cloud Infrastructure, Observability and Systems Monitoring Senior Technical Program Manager for NVIDIA DGX Cloud, focusing on observability, systems monitoring, and cloud infrastructure operations to manage AI infrastructure. | — | 5 |
| Solutions Architect - NVIDIA Cloud Partners NVIDIA is seeking an experienced Solutions Architect to bridge the gap between design and deployment of large-scale AI and HPC GPU infrastructure. This role involves collaborating with NVIDIA Cloud Partners, providing technical support to customers throughout their GPU infrastructure lifecycle, and driving end-to-end technology solution integration. The architect will also offer recommendations based on customer feedback and prepare technical content. | Serve | 5 |
| Architect - GPU Performance This role focuses on system-level performance analysis and bottleneck identification for complex, high-performance GPUs and SoCs. The architect will work with hardware models, develop workloads for various applications including machine learning, and collaborate with design teams to optimize system performance, area, and power. They will also develop infrastructure for performance analysis and visualization tools. | — | 5 |
| Senior Technical Program Manager - Physical AI and XR NVIDIA is seeking a Senior Technical Program Manager to lead the development of XR and AI Robotics projects, focusing on tele-operation and data collection through spatial computing. The role involves program management, technical leadership, schedule development, risk mitigation, and cross-functional collaboration to ensure timely product launches and successful integration of engineering efforts. | — | 5 |
| Developer Relations Manager, HER BioSciences NVIDIA is looking for a Developer Relations Manager to engage with research labs, accelerating the adoption of NVIDIA's AI and computing platforms in the HER BioSciences domain. The role requires deep technical expertise in AI for life sciences, strong research engagement experience, and the ability to act as a technical advisor, translating advanced technologies into valuable outcomes. Responsibilities include integrating NVIDIA's software stack into research projects, assessing the ecosystem for growth opportunities, staying current on research papers, and collaborating cross-functionally. The ideal candidate has a PhD in a related technical field, 3+ years of experience, and expertise in AI methods relevant to life sciences, along with an understanding of bioscience research workflows. | — | 5 |
| Developer Relations Manager, Higher Education and Research - Physics NVIDIA is looking for a Developer Relations Manager to engage with research labs, focusing on accelerating the adoption of NVIDIA's AI and computing platforms in physics and computational science. The role requires deep technical expertise in AI methods applied to physics, understanding of research workflows, and the ability to act as a trusted technical advisor. | — | 5 |
| Senior Resiliency and Safety Architect NVIDIA is seeking a Senior Resiliency and Safety Architect to support the development of GPU and Tegra SoC hardware and software resiliency and safety features. The role involves architecting new features, optimizing hardware & software, modeling RAS and safety metrics, running simulations, developing diagnostics software, and ensuring compliance with functional safety standards like ISO 26262 and ASPICE. While the company is heavily involved in AI, this specific role focuses on the underlying hardware and software resiliency and safety, not direct AI model development. | — | 5 |
| Senior Developer Relations Manager - Digital Biology Partnerships Senior Developer Relations Manager for NVIDIA's Digital Biology Partnerships, focusing on engaging developer ecosystems and driving adoption of NVIDIA's AI and computing platforms in computer-aided drug discovery. Requires deep technical expertise, commercial go-to-market experience, and passion for developer advocacy. | — | 5 |
| Solutions Architect, OEM AI Factory Infrastructure This role focuses on supporting OEM partners in deploying NVIDIA's AI Factory infrastructure, involving MEP, networking, DevOps, HPC/AI workloads, and cluster administration. The Solutions Architect will collaborate with internal teams, understand partner needs, develop proof-of-concept projects, and provide training. | — | 5 |
| Strategic ISV Account Manager - Education Technology Strategic ISV Account Manager for NVIDIA's Education Technology ecosystem, focusing on growing partnerships with ISVs building AI-powered experiences for educators, administrators, and students. Responsibilities include strategic partnership management, technical engagement support, and joint go-to-market motions to accelerate adoption of NVIDIA technologies. | — | 5 |
| Senior Campaign Manager, Automotive This role is for a Senior Campaign Manager in the Automotive sector at NVIDIA. The primary responsibility is to lead the planning, development, and execution of global marketing campaigns for NVIDIA's autonomous vehicle platform, which includes AI training, simulation, and in-vehicle compute. The role requires extensive experience in coordinated marketing and a solid understanding of AI platforms and autonomous vehicles, but the core function is marketing campaign management, not AI development or research. | — | 5 |
| Senior Accelerated Computing Architect This role focuses on optimizing the performance of NVIDIA GPUs for accelerated computing, scientific computing, machine learning, AI, datacenter, and automotive computing. The architect will analyze and optimize parallel algorithms, data structures, and reference codes, collaborate with hardware and software teams, and dive into accelerated computing applications for co-design. The role involves writing white papers and publications, and requires strong mathematical fundamentals, GPU programming experience (CUDA/OpenCL), and C/C++ proficiency. | — | 5 |
| Senior System Simulation Architect This role focuses on developing and integrating full-system functional models for CPU architectures, with a specific emphasis on enabling complex AI/DL and HPC workloads. The architect will work with simulation, emulation, and performance models to support the development of next-generation CPU products that are critical for NVIDIA's accelerated computing ecosystem. | — | 5 |
| Manager, Customer Solution Architect and Application Engineering Manager for Customer Solution Architecture and Application Engineering at NVIDIA, focusing on enabling next-generation Embedded products and system solutions for AI, deep learning, and advanced computing markets. The role involves leading a team to collaborate with customers and internal hardware design, firmware, software, and AI algorithm teams to integrate NVIDIA's Embedded solutions into customer products, define system-level requirements, and optimize performance. | — | 5 |
| Senior Research-Ops & DevOps Engineer NVIDIA is seeking a Senior Software Engineer for their Video/Multimedia A&A team to lead infrastructure and operations. This role involves setting up compute resources (on-prem and cloud), developing distributed pipelines for large-scale regressions and experiments across hardware simulations and ML workloads, and maintaining CI/CD and development environments. The goal is to transform research workflows into reliable, automated systems. | Serve | 5 |
| Technical Account Manager NVIDIA is seeking a Technical Account Manager to provide comprehensive customer support and troubleshooting for NVIDIA's hardware and software solutions. This role involves resolving complex technical issues, collaborating with engineering and marketing teams, and developing best practices. The ideal candidate will have strong communication and problem-solving skills, with experience in networking protocols and hardware/software support. | — | 5 |
| Senior Developer Relations Manager NVIDIA is seeking a Senior Developer Relations Manager to engage with the China industrial and research community, promoting GPU Accelerated Computing solutions including AI for science, Generative AI, and Agentic AI. The role involves understanding community requirements, architecting solutions, driving adoption of new products, and specifically supporting the cuOpt and Graph Optimization ecosystem. | — | 5 |
| 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 System Software Engineer - Software Development Kit Senior System Software Engineer role at NVIDIA focusing on the Tegra Solutions Engineering team for the DRIVE self-driving platform. The role involves developing, validating, and optimizing software for camera, multimedia, and graphics components on embedded automotive platforms. Requires strong C/C++/Python skills, experience with embedded systems, imaging/graphics pipelines, and customer interaction. Experience with GPU computing, computer vision, CUDA, and TensorRT are preferred. | — | 5 |
| Senior Software Engineer, At Scale Compute Analysis This role involves analyzing large-scale datacenter workloads on GPU-accelerated clusters, turning telemetry and workload data into findings and visuals. It requires partnering with various engineering teams and applying ML/DL techniques for categorization and forecasting, integrating these into tools the team uses. The role emphasizes analyzing complex datasets, debugging data issues, communicating trends, and building practical visualizations and lightweight ML/DL implementations within existing workflows. | Data | 5 |
| Developer Relations Manager, Cloud Service Provider This role focuses on developer relations for NVIDIA's AI and computing platforms within cloud service provider ecosystems. The primary goal is to drive adoption of NVIDIA technologies by building relationships with developers, solution providers, and industry professionals, helping them integrate NVIDIA's software stack into their products and platforms. The role involves technical advisory, guiding partners through integration, identifying growth opportunities, and resolving technical challenges. While the company and its platforms are AI-focused, the role itself is in developer relations and ecosystem engagement, not direct AI/ML model development or research. | — | 5 |
| Senior Event and Campaign Copywriter This role is for a Senior Event and Campaign Copywriter at NVIDIA. The primary focus is on developing high-impact messaging for events and campaigns, translating complex technical concepts into clear storytelling, and partnering with various teams. While the role mentions using AI tools, it is not directly involved in building or researching AI models. | — | 5 |
| Senior Firmware Engineer - LPU Senior Firmware Engineer to develop low-level firmware for NVIDIA's AI-accelerator hardware, focusing on bootloader, drivers, RTOS, and system services. Responsibilities include design, implementation, optimization, debugging, and collaboration with AI teams. | — | 5 |
| Senior Technical Marketing Manager - GeForce Platform Senior Technical Marketing Manager for GeForce Platform at NVIDIA, focusing on technical verification, content creation, product positioning, and cross-functional collaboration for gaming platforms. Requires deep PC hardware and GPU knowledge, strong communication skills, and experience with AI tools. | — | 5 |
| Cloud Security Architecture Lead Lead the security architecture for global cloud and datacenter infrastructure, focusing on protecting AI workloads against advanced adversaries. Responsibilities include architecting security frameworks for public and private GPU/AI environments, implementing network segmentation, facilitating confidential computing, crafting encryption schemes, governing workload identity, and directing security in container/Kubernetes environments. Requires extensive experience in security engineering/architecture, cloud-native security, workload identity, and container security. | — | 5 |
| Senior Software Systems Engineer - Autonomous Vehicles Senior Software Systems Engineer for NVIDIA's Autonomous Vehicles team, focusing on developing and productizing SAE Level 2-4 driver assistance and self-driving technologies. The role involves architecting solutions, characterizing vehicle interactions for system training, driving verification activities, and analyzing data to inform design decisions. Requires strong systems engineering, robotics, or integration experience, with a preference for AI tooling and automotive standards. | ShipData | 5 |
| Senior Account Manager, Digital Devices - Healthcare Senior Account Manager for NVIDIA's Healthcare sales team, focusing on driving revenue growth and customer relationships within the medical instruments industry. Requires expertise in enterprise account management and understanding of AI/ML trends to convey value to executives and developers. | — | 5 |
| Business Development Manager, Global Public Sector This Business Development Manager role focuses on driving NVIDIA's platform growth within the public sector of the LATAM region. The role involves executing go-to-market strategies, leading national AI cloud initiatives, aligning on policy and compliance, and fostering local AI ecosystems. While the role promotes AI lifecycle capabilities and translates compliance requirements into AI architectures, its core function is business development and sales, not direct AI/ML model development or research. | — | 5 |
| Solutions Architect - NVIDIA Cloud Partners and Datacentre Infrastructure Solutions Architect focused on datacentre infrastructure (power, cooling, MEP) to support AI and HPC GPU deployments. Collaborates with customers and partners to design, implement, and operationalize NVIDIA's hardware and software solutions, ensuring robust and efficient datacentre environments. Provides technical guidance and feedback to business and engineering teams. | — | 5 |
| Business Development Manager, Global Public Sector Business Development Manager for NVIDIA's Global Public Sector, focusing on driving growth strategies for sovereign AI models and applications. This role involves enabling local AI model and application builders, leading country-level strategies, and promoting the NVIDIA AI stack across governments and public sector globally, with an emphasis on regulated industries. | — | 5 |
| Board Product Development Engineer Develops manufacturing processes for AI PC/client/automotive/embedded board & system products, defines test requirements, supports NPI, and collaborates with multi-functional teams. | — | 5 |
| Senior Technical Program Manager, Metropolis Manufacturing Senior Technical Program Manager to drive Physical AI adoption in the manufacturing and industrial ecosystem, focusing on NVIDIA Metropolis solutions like AOI, VSS, and SOP monitoring. The role involves end-to-end program ownership, cross-functional coordination, release schedule management, and partner relationship management within Taiwan's electronics ecosystem. | — | 5 |
| Senior Software Architect - Data Center Systems NVIDIA is seeking a Senior Software Architect to lead software activities for their deep learning server platforms, focusing on system architecture, design, and collaboration with various engineering teams and customers. The role requires deep expertise in server system design, particularly at the SW/HW interface, and an understanding of Deep Learning workloads. | — | 5 |
| Senior Software Engineer, NCCL and CUDA - CSP Engagements Senior Software Engineer specializing in NCCL and CUDA for ML software stack functionality and performance in datacenter products. Focuses on customer engagements, root cause analysis, performance optimization, and debugging of libraries and system software for large-scale deployments, particularly for deep learning workloads. | — | 5 |
| Senior Software Adoption Manager This role focuses on driving adoption and revenue growth of NVIDIA's AI software offerings (like NVIDIA AI Enterprise, NIMs, open models) by working through ecosystem partners (ISVs, OEMs, NPNs, NCPs) to reach enterprise customers. It involves translating business challenges to AI workloads, building solution architectures, developing go-to-market strategies, and managing pipeline within NVIDIA's sales methodology. The role requires deep vertical expertise and reporting insights back to leadership. It's a hybrid role blending sales, consulting, and business development, aiming to scale successful solutions across the ecosystem. | — | 5 |
| Senior Developer Relations Manager, Capital Markets NVIDIA is seeking a Senior Developer Relations Manager focused on the capital markets ecosystem. This role requires deep technical expertise in financial workflows and a passion for developer advocacy to drive adoption of NVIDIA's AI and accelerated computing platforms. Responsibilities include serving as a technical advisor, integrating NVIDIA's software stack into partner platforms, identifying growth opportunities, engaging technical leaders, and gathering ecosystem feedback to influence product roadmaps. The role also involves coordinating industry events and building relationships within the financial community. | — | 5 |
| Senior System Software Engineer, NCCL - Partner Enablement Senior System Software Engineer focused on NCCL (NVIDIA Collective Communications Library) for Deep Learning and HPC applications. The role involves engaging with partners and customers to resolve issues, conduct performance analysis on GPU clusters, develop tools for issue isolation, and provide training. Requires strong C/C++ and Linux skills, experience with parallel programming and communication runtimes, and practical knowledge of high-performance networking and cloud platforms. | Serve | 5 |
| Senior Customer Program Manager - Gen AI Software Solution This role is for a Senior Customer Program Manager at NVIDIA, focusing on the development and implementation of Generative AI Software Solutions for OEMs. The position involves managing end-to-end project lifecycles, leading multi-functional teams, and ensuring successful delivery of AI solutions. While the role interacts with Gen AI technologies like RAG and NIM, the core responsibility is program management rather than direct AI/ML model development or research. | — | 5 |
| Data Center Engineer, HPC and AI NVIDIA is seeking an HPC and AI Data Center Engineer to manage and build complex data center infrastructure for supercomputers and AI clusters. Responsibilities include planning, installation, operation, and troubleshooting of hardware and software, with a focus on power, cooling, and space utilization. The role supports R&D activities and requires experience in data center management, Linux troubleshooting, and core Windows services. | — | 5 |
| Business Analyst NVIDIA is seeking a Business Analyst for their Sales operation team to build and maintain data pipelines, optimize ETL processes, and integrate data from multiple sources. The role involves ensuring data quality and demonstrating how BI/Data Science tools can provide actionable insights. | — | 5 |
| Validation Lead, DriveAV - Autonomous Vehicles NVIDIA is seeking an experienced Validation Lead for their DriveAV - Autonomous Vehicles team in Bengaluru, India. This role focuses on leading testing and validation for ADAS customer engagements, ensuring compliance with automotive standards and managing the complete test lifecycle. The ideal candidate will have extensive experience in automotive ADAS product validation, test strategy creation, and familiarity with automotive software and process standards like ASPICE and ISO26262. | — | 5 |
| Power Methodology and Modeling Engineer - New College Grad 2026 This role focuses on energy modeling for NVIDIA's next-generation GPUs, CPUs, and Tegra SoCs. The engineer will develop and implement tools and methodologies for data generation, sanitization, and integration with performance tools. They will also experiment with ML techniques to inform design decisions and improve power efficiency, working closely with various engineering teams. While ML is used, the core craft is not building ML models but applying them to power and energy analysis in chip design. | — | 5 |
| Senior Test Development Engineer - DataCenter System Software NVIDIA is seeking a Senior Test Development Engineer in Taipei, Taiwan, to design, develop, and maintain automated test frameworks and pipelines for server firmware and software. The role involves implementing end-to-end test automation, collaborating with cross-functional teams, analyzing test results, and supporting factory test processes. The ideal candidate will have 5+ years of experience in test development or firmware development, strong knowledge of server hardware and firmware, and experience with AI coding tools. A track record of driving automation initiatives and applying AI/ML to optimize test workflows is highly desirable. | — | 5 |
| Senior Data Engineer, NSV Senior Data Engineer role focused on building scalable data pipelines for AI and HPC clusters, with a contribution to Agentic AI initiatives. The role involves designing, building, and maintaining ETL/ELT frameworks, optimizing streaming pipelines, ensuring data quality, and supporting self-service analytics. A key aspect is contributing to AI Agents that enhance data visibility and accessibility. | Agent | 5 |
| Senior Product Manager, NVIDIA Mission Control Product Manager for NVIDIA Mission Control, an enterprise software stack for AI factories, focusing on orchestration, Kubernetes-native services, and full-stack AI platform capabilities. The role involves defining product requirements, managing the lifecycle, and driving adoption within global enterprises. | — | 5 |
| Global Developer Relations Account Manager NVIDIA is seeking a Global Developer Relations Account Manager to lead strategic ISV partnerships in the Manufacturing & Industrial sectors. The role involves driving the integration of NVIDIA's software, models, and frameworks into partner platforms, accelerating critical workloads, and resolving technical challenges. The ideal candidate has extensive experience in industrial automation, hands-on AI application in manufacturing, and strong technical account management skills. | — | 5 |