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 |
|---|---|---|
| Senior ASIC Design Verification Engineer - LPU NVIDIA is seeking an experienced Senior ASIC Design Verification Engineer to verify the design and implementation of inference accelerators. The role involves using advanced verification methodologies, collaborating with cross-functional teams, and potentially applying machine learning to the verification process. The focus is on ensuring the correctness of ASIC designs for high-performance processors. | — | 5 |
| Senior Site Reliability Engineer This role is for a Senior Site Reliability Engineer (SRE) focused on improving incident detection, response, and prevention at scale. The role involves leading major incidents, building automation for incident management, enhancing observability, and driving root cause analysis. A key aspect is leveraging AI and data-driven techniques to improve operational workflows, incident triage, and decision support. | — | 5 |
| Senior Physical Design Methodology Engineer, PPA Fusion Compiler |
| Serve |
| 5 |
| Senior Partner Enablement Product Manager, Storage Platform Product Manager role focused on enabling ODM partners to adopt and integrate NVIDIA's storage platforms into AI infrastructure offerings. The role involves translating partner feedback into product improvements and ensuring alignment with NVIDIA's storage architecture and roadmap. | — | 5 |
| Principal Partner Enablement Product Manager, AI Infrastructure Product Manager focused on enabling ODMs to adopt and deliver AI Infrastructure data center solutions, acting as a liaison between partners and internal teams to drive product strategy based on field feedback. | — | 5 |
| Principal Engineer, Data Center Power Software This role focuses on architecting and managing distributed system software for datacenters, with an emphasis on leveraging AI tools for development iteration and process improvement. The primary responsibility is system software development and roadmap execution, not direct AI model building. | — | 5 |
| Senior Software Engineer, Cloud-Native Stack – CSP Engagements Senior Software Engineer role focused on the cloud-native stack for AI/ML datacenters, involving deep-dive debugging of multi-rack, multi-tenant clusters, prototyping feature extensions for Kubernetes and Slurm, and collaborating with customers and internal teams. Requires strong expertise in Kubernetes and Slurm internals, experience with next-gen GPUs, and a background in customer-facing engineering. | — | 5 |
| Senior System Software Engineer, Holoscan Senior System Software Engineer for NVIDIA's Holoscan team, focusing on developing a platform for AI-driven sensor processing applications. Responsibilities include designing and optimizing system software, building AI-powered automation tools, and integrating software components. The role requires strong C/C++, Python skills and experience with AI/ML tools and LLM-based automation. | Serve | 5 |
| Principal Software Engineer – GT Data Principal Engineer to drive upstream technical readiness for NVIDIA’s ground truth (GT) data generation stack, acting as a technical hub to resolve blockers and ensure high-quality data generation for robotics and autonomous driving programs. This role requires strong cross-functional collaboration and communication between US and China teams. | — | 5 |
| Formal Verification Intern - Fall 2026 Internship role focused on formal verification of hardware designs for GPUs and SoCs, with an emphasis on using AI tools to enhance debug and flow development. The role involves defining behaviors, crafting test plans, developing assertions, building abstraction models, and analyzing RTL. While AI tools are mentioned for enhancement, the core craft is hardware verification. | — | 5 |
| Director, ADAS User Experience Product - Autonomous Vehicles Director of Product Management for Autonomous Vehicle ADAS User Experience at NVIDIA. This role focuses on planning, defining, and delivering ADAS products to market, requiring extensive experience in product management, automotive technologies, and leading teams. While the company and its products heavily utilize AI, the core function of this role is product management and delivery, not direct AI/ML model development or research. | — | 5 |
| Senior Performance Verification Engineer Senior Performance Verification Engineer at NVIDIA, focusing on CPU performance analysis, correlation, and developing verification infrastructure. The role involves technical leadership, micro-architectural understanding, and scripting skills, with a focus on performance bottlenecks across various product lines including AI. | — | 5 |
| Senior Financial Analyst - Hardware Engineering This role is for a Senior Financial Analyst supporting NVIDIA's Global Research and Advanced Technology organizations. The analyst will lead financial planning, budgeting, forecasting, and strategic investment planning, partnering with researchers and engineering leaders across various domains including AI. The role involves leveraging AI and automation tools for financial processes and reporting. | — | 5 |
| Director, Site Reliability and Software Engineering - DGX Cloud This role is for a Director of Site Reliability and Software Engineering for NVIDIA's DGX Cloud, focusing on managing the software, automation, and operations of distributed GPU clusters. The role involves leading a team, defining strategy and roadmap, driving technical projects, and ensuring operational excellence for a large-scale distributed system that supports AI development and deployment. | — | 5 |
| Senior Manager, DGX Cloud Technical Program Management Senior Manager, Technical Program Management to lead core infrastructure programs (network, storage, trust services, security, break/fix, telemetry) for NVIDIA's DGX Cloud. The role involves managing a team of TPMs, driving operational rigor, and ensuring infrastructure resilience and scalability. Requires extensive experience in technical program management, infrastructure programs, and managing TPM teams, with a strong understanding of cloud infrastructure and distributed systems. Experience supporting AI/ML platforms is a plus. | — | 5 |
| Senior Technical Program Manager, DGX Cloud Software Products and Services This role is for a Senior Technical Program Manager at NVIDIA, focusing on DGX Cloud software products and services. The TPM will lead programs to enhance resilience, reliability, and operational scale for AI training and inference environments. Responsibilities include driving improvements in service stability, defining resilience strategies, and building tooling for observability and recovery. The role requires collaboration across engineering, SRE, operations, and researchers, with a strong emphasis on data-driven insights and metrics. | — | 5 |
| Senior Platform Telemetry Engineer NVIDIA is seeking a Senior Platform Telemetry Engineer to drive next-generation fleet management solutions for scaling AI infrastructure using GPUs. The role involves designing architecture for fleet health monitoring and fault-remediation, working with customers and product management, and ensuring end-to-end delivery of product features. This position requires strong coding experience in C/C++ and Python, knowledge of time series databases and telemetry visualization tools, and a proven record of solutions for scalability. | — | 5 |
| Principal Platform Software Engineer - RAS NVIDIA is seeking a Principal Platform Software Engineer to design and drive next-generation fleet management solutions for scaling AI infrastructure using GPUs and Grace superchips. The role involves architecture, implementation, testing, and customer education for fleet health monitoring and fault remediation at scale. | — | 5 |
| Senior Datacenter Technical Program Manager, At-Scale AI Clusters This role focuses on the technical program management of large-scale AI supercomputing systems and GPU clusters within datacenters. The TPM will oversee the lifecycle from design and integration to production support, collaborating with hardware and software teams to build and deploy these systems, and develop reference architectures for customers. Responsibilities include leading integration efforts, coordinating datacenter builds, and communicating with leadership to address critical issues. | — | 5 |
| Senior Software Engineer, AI Storage Senior Software Engineer role at NVIDIA focused on developing high-performance storage solutions for GPU IO, involving advanced C++/CUDA libraries, optimization of the IO stack, and collaboration with research teams. Requires strong Linux kernel, filesystem, and NVMe knowledge, with experience in cloud/virtualization technologies and data structures/algorithms. | — | 5 |
| Senior System Software Engineer - GPU Performance Senior System Software Engineer focused on GPU performance for communication libraries (NCCL, NVSHMEM, UCX) in Deep Learning and HPC applications. Involves performance characterization, analysis, root-cause analysis of performance issues, and building tools for data visualization on large multi-GPU/multi-node clusters. Requires experience with parallel programming, communication runtimes, and systems software fundamentals. | — | 5 |
| Manager, Distinguished Engineer - DGX Systems Software Manager, Distinguished Engineer for DGX Systems Software at NVIDIA, responsible for the end-to-end delivery of DGX compute systems, ensuring seamless integration of firmware, OS, drivers, CUDA, networking, and AI applications. The role involves leading firmware development, defining validation strategies, driving platform bring-up and architecture, and managing the complete product delivery lifecycle for next-generation platforms. | — | 5 |
| Senior Linux Kernel Systems Software Engineer – CSP Engagements Senior Software Engineer role focused on system software for Datacenter products (GB200), involving Linux kernel development, device drivers, and system optimizations. The role requires deep expertise in data center server architectures, HPC and AI/ML workloads, and hardware-software co-design, with customer-facing responsibilities to enable cloud service providers. It involves advanced system debugging and performance optimization. | — | 5 |
| Senior HPC Architect, Automation and At-Scale Deployment The Senior HPC Architect will support the deployment and bring-up of large-scale GPU compute clusters, enabling AI and GPU computing breakthroughs. This role involves providing engineering solutions for GPU Computing products and software stacks, acting as an internal reference for system administration and large-scale GPU-accelerated systems, and working with scientific researchers and developers to craft workflows and solutions. | Serve | 5 |
| Senior Technical Program Manager, Cloud Infrastructure NVIDIA is seeking a Senior Technical Program Manager to join their DGX Cloud team, focusing on cloud infrastructure bring-up and management. The role involves collaborating with Cloud Service Providers (CSPs) and internal engineering teams to build and scale AI capacity and infrastructure globally. Responsibilities include defining requirements, developing roadmaps, managing operations, and ensuring adherence to processes, with an emphasis on availability, maintenance, and performance indicators. The TPM will also drive the adoption of cloud infrastructure solutions and establish KPIs to measure program impact, while proactively managing risks and fostering continuous improvement. | — | 5 |
| Senior Technical Program Manager – Silicon Co-Design Senior Technical Program Manager for NVIDIA's Silicon Co-Design Group, focusing on SoC programs from architecture through productization. The role requires deep hands-on knowledge of bring-up and validation, driving alignment across engineering, operations, and product. A key aspect is the deliberate use of AI-powered program management tools to improve outcomes. | — | 5 |
| Senior Product Manager - Hardware Infrastructure Senior Product Manager for NVIDIA's SOC Hardware Infrastructure team, focusing on strategy and evolution of internal tools for ASIC HW development. The role aims to accelerate chip design using AI solutions and optimize hardware engineer workflows. | — | 5 |
| Developer Experience Manager, Agents This role focuses on improving the developer experience for both human developers and AI agents interacting with NVIDIA products. The goal is to optimize time-to-value by ensuring seamless onboarding and content accessibility for AI agents, defining practical standards for agent experience, and evaluating content performance through both human and agent metrics. | Agent | 5 |
| Senior Software Engineer - Cloud and Kubernetes Senior Software Engineer focused on designing and building next-generation cloud platforms powered by Kubernetes, ConnectX, BlueField NICs, and GPUs, accelerating HPC and AI workloads. | — | 5 |
| VLSI Design Automation Software Engineer NVIDIA is seeking a VLSI Design Automation Software Engineer to manage and maintain VLSI development infrastructure. The role involves optimizing compute and storage, developing automation scripts, creating dashboards, and leveraging AI-assisted engineering workflows. The engineer will collaborate with a remote team and engage in the full lifecycle of infrastructure tool development. | — | 5 |
| Senior Developer Relations Manager - Studio This role focuses on engaging the Creator ecosystem for NVIDIA Studio, driving adoption of NVIDIA's AI and computing platforms by working with software solution providers, developers, and industry professionals. The Senior Developer Relations Manager will serve as a technical advisor, accelerate workloads by demonstrating solutions, guide partners, and represent partner needs to internal teams. | — | 5 |
| Senior Systems Software Engineer - Advanced Technology Group Senior Systems Software Engineer role focused on developing and accelerating computational methods for semiconductor manufacturing and design using GPUs. The role involves creating strategy, driving innovation, and delivering complex software solutions at scale. | — | 5 |
| Account Enablement Manager, Enterprise Revenue Marketing This role focuses on driving enterprise account enablement using AI, equipping partners with insights and programs to accelerate growth. It involves partnering with sales, product, and marketing teams, identifying growth opportunities through data analysis, and leveraging agents for actionable insights. The role requires strong program management and data storytelling skills within a B2B marketing context. | — | 5 |
| Senior Developer Relations Manager Senior Developer Relations Manager at NVIDIA in Saudi Arabia, focusing on building strategic partnerships with enterprises, ISVs, and startups to deploy accelerated AI solutions using NVIDIA technologies. The role requires a strong technical foundation, business insights, and understanding of the regional AI landscape, acting as a technical advisor and guiding customers through NVIDIA's integration journey. | — | 5 |
| Senior GPU Communications Libraries Test Development Engineer, SDET This role focuses on testing and automating tests for NVIDIA's GPU Communications Libraries, which are foundational for high-performance computing and AI workloads. While not directly building AI models, the role requires solid experience with AI development tools and deep learning frameworks to ensure the quality of the underlying infrastructure. | — | 5 |
| Senior Product Manager, cuEST and cuEquivariance Product Manager for NVIDIA's GPU acceleration libraries, specifically focusing on quantum chemistry math libraries used in scientific research and applications like drug discovery, CAE, and EDA. The role involves defining go-to-market strategies, creating enablement content, presenting to various audiences, and collaborating with cross-functional teams. Requires a strong technical foundation in GPU computing and CUDA, with familiarity in quantum chemistry, atomistic simulation, and AI. | — | 5 |
| Senior Software Program Manager – CSP Engagements Senior Technical Program Manager to lead deep technical engagements with hyperscale cloud service providers for NVIDIA’s next-generation datacenter systems, focusing on system software, firmware, and platform readiness for NVIDIA-based datacenter solutions, including AI hardware. | — | 5 |
| Director, Neural Graphics Chips Director role focused on setting the strategic direction for neural graphics across silicon, console platforms, and graphics APIs, translating research into production-ready features and hardware. Requires deep expertise in graphics, GPU architecture, and team leadership. | — | 5 |
| AI Factory Deployment Engineer This role supports the deployment of control systems for NVIDIA's AI Factories, focusing on data center infrastructure. Responsibilities include requirements gathering, adapting control system designs, technical evaluation of control systems, and providing technical support. The role also involves IT to OT data integration for applications like digital twins and agentic AI onboarding, and standardization in controls engineering. | — | 5 |
| Technical Account Manager - HPC NVIDIA is looking for an HPC Technical Account Manager or hardware engineer with soft skills to provide comprehensive solutions for sophisticated installations, maintenance, and operations for groundbreaking products. The role involves assisting customers with technical inquiries, debugging, and resolving issues, working closely with engineering, marketing, and support teams. Key responsibilities include resolving technical issues with next-generation AI and HPC server technologies, owning customer issues from installation to maintenance, and working with the latest hardware and software technologies. The ideal candidate has 8+ years of customer support experience, profound knowledge of Linux and Networking, expertise in data center virtualization, and exceptional communication and organizational skills. Experience with large-scale HPC or AI cluster environments, GPU-based computing, and AI/ML frameworks is a plus. | — | 5 |
| Senior Silicon Validation and Methodology Engineer - In System Testing Senior Silicon Validation and Methodology Engineer at NVIDIA, focused on in-system testing of silicon designs. The role involves leading validation plan development, collaborating with cross-functional teams, developing automated test setups, analyzing results, and mentoring junior engineers. A strong emphasis is placed on leveraging AI tools (LLMs, code assistants, etc.) to accelerate various aspects of the validation workflow, including test generation, data analysis, documentation, and methodology optimization, while maintaining human judgment and rigor. | — | 5 |
| Senior DFT Methodology - Data Analytics Engineer NVIDIA is seeking a Senior DFT Methodology - Data Analytics Engineer to work on pre-silicon and post-silicon data analytics, visualization, insights, and modeling. The role involves implementing new methodologies for chip quality improvement, applying algorithm design and statistical tools for data analysis, and exploring Applied AI and LLM-based solutions within the Design For Test space. The engineer will also mentor junior team members. | Data | 5 |
| Senior DGX Cloud Test Development Engineer, SDET This role focuses on using and developing AI-powered tools to enhance software testing processes within NVIDIA's DGX Cloud platform. The engineer will be responsible for improving test case generation, defect detection, and test coverage, as well as performing various types of testing and automating test cases. While the role utilizes AI tools, its core function is software testing and quality assurance, not the direct development or research of AI models themselves. | — | 5 |
| Senior Full-Stack Lead Engineer Senior Full-Stack Lead Engineer to join the AI Hub team within the DGX Cloud AI Infrastructure organization. The role focuses on building and operating a unified, self-service portal for AI researchers to manage, monitor, and optimize their use of Managed AI research Superclusters, accelerating AI research by ensuring efficient and scalable use of NVIDIA's AI infrastructure. | — | 5 |
| Senior GPU Compiler Development Engineer NVIDIA is seeking an experienced Senior GPU Compiler Development Engineer to join their PTX Compiler Development team. The role involves driving PTX language design and compiler evolution, enabling applications in HPC, Deep Learning, and Autonomous Driving. The engineer will work on enhancing the PTX Compiler infrastructure to support new compilation models for DL and Generative AI codes, and contribute to evolving the programming model for these applications on GPUs. Responsibilities include providing stewardship for PTX ISA and compiler infrastructure for AI/DL, collaborating on programming models for next-gen GPUs, and designing compilation stack strategies for AI/DL workloads. | — | 5 |
| Board Product Development Engineer NVIDIA is seeking a Board Product Development Engineer to architect, design, and implement manufacturing processes for AI PC/client/automotive/embedded board & system products. The role involves representing Ops Engineering in the product lifecycle, defining test requirements, supporting NPI, and collaborating with multi-functional teams for process improvements. | — | 5 |
| Senior Solution Architect - Telco Network Automation NVIDIA is seeking a Senior Solution Architect with AI/ML/DL and telecom domain expertise to introduce NVIDIA technology in telecommunication applications for management and operation. The role involves documenting advancements, developing solutions, supporting trials, and leading technical project aspects of complex deployments, including AI software integration and edge/cloud/datacenter deployments. | Serve | 5 |
| Senior Materials Inventory Analyst This role focuses on inventory management and procurement within the semiconductor industry, leveraging AI/ML and Agentic AI for risk detection, root cause analysis, and scalable inventory management. The primary artifact is improved inventory management processes and risk mitigation, which can be considered a form of data engineering or applied AI within an enterprise context. | — | 5 |
| Senior Technical Program Manager – LPU Silicon NVIDIA is seeking a Senior Technical Program Manager to lead the development of next-generation LPU (Language Processing Unit) silicon from concept to production. This role involves managing complex, cross-functional programs in hardware development, balancing PPA goals, and ensuring timely, high-quality delivery. The ideal candidate has extensive experience in semiconductor and hardware system development, ideally in AI domains, with a strong understanding of AI chip architectures and project management methodologies. | — | 5 |
| Senior System Architect - LPU Platform Pathfinding NVIDIA is seeking a Senior System Architect to lead rack-level and platform pathfinding for next-generation GPU and LPU systems, focusing on high-performance, reliable AI platforms. The role involves defining system-level solutions, requirements across power, cooling, mechanics, and connectivity, and collaborating with cross-functional teams to deliver practical architectures. Experience with server/storage/networking hardware, data center infrastructure, and electrical architecture is required. | — | 5 |