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 |
|---|---|---|
| SWQA Test Developer Engineer, SDET Software QA Test Developer Engineer at NVIDIA responsible for test planning, execution, and reporting, including writing scripts to automate testing, designing and developing tools for the QA team, and developing integration tests for validation. The role requires experience with AI development tools, model testing, and LLM benchmarking. | Ship | 5 |
| Senior Physical Design Methodology Engineer, Innovus Flows This role focuses on developing and improving physical design methodologies for NVIDIA's chips, including GPUs and processors. While it mentions using AI/ML approaches to enhance CAD tools and design performance, the core function is in physical design engineering, not directly building AI models or systems. | — | 5 |
| Senior Product Marketing Manager - Financial Services Product Marketing Manager for NVIDIA's financial services AI platform, focusing on driving awareness and adoption across trading, banking, and payments. The role involves translating technical capabilities into compelling narratives, enabling sales and partners, and engaging developers with FSI-specific content. |
| — |
| 5 |
| Developer Relations Manager - AI Security This role is for a Developer Relations Manager focused on AI Security, engaging with security companies to guide them on leveraging NVIDIA software stacks for securing AI and Agentic environments. The role requires deep technical expertise, commercial go-to-market experience, and a passion for developer advocacy. | — | 5 |
| Solutions Architect, AI Factory Infrastructure NVIDIA is seeking an early-in-career Solution Architect to join their AI Infrastructure team. The role involves designing, architecting, and implementing accelerated computing data center solutions for AI inference at scale and physical AI through digital simulation. Responsibilities include full-stack design (hardware, orchestration, performance tuning), assisting customers with AI factory journeys, focusing on inference use cases, scoping physical AI on Omniverse (including synthetic data generation), leading technical sales for hybrid AI factories, and delivering hybrid cloud architectures. The role requires a Bachelor's degree in Engineering or Computer Science, 3+ years of experience in IT infrastructure, knowledge of Linux, Kubernetes, networking, Python, and understanding of hardware/software interaction for application optimization. | ServeAgent | 5 |
| Senior Solutions Architect, Customer Success Senior Solutions Architect, Customer Success role at NVIDIA focusing on advising customers on large-scale AI/HPC infrastructure projects, including networking, system design, and automation. The role involves assessing infrastructure needs, architecting solutions, and guiding implementation to ensure high availability and efficiency of GPU-accelerated systems. | — | 5 |
| Senior Software Developer NVIDIA is seeking a Senior Software Developer to join their AI networking acceleration team. The role involves developing a groundbreaking open-source library using hardware offloads, GPU Kernels, and RDMA network cards, focusing on a performance-oriented, low-level inference framework. The position requires strong C++/C/Python development skills, Linux environment experience, and deep knowledge of TCP/IP networking. Experience with Linux internals, low-level optimizations, CUDA kernels, ML frameworks, LLMs, parallel programming, HPC, or RDMA is advantageous. | Serve | 5 |
| Senior Solutions Architect, Inference Networking ISV Enablement This role focuses on enabling Network ISVs to build and deploy distributed inference solutions, optimizing network stacks for AI workloads. The architect will apply NVIDIA and OSS tools to define, build, and orchestrate these solutions, providing technical guidance and establishing repeatable reference architectures for AI-Grid Networking. | Serve | 5 |
| Manager, Software Performance Engineering - Autonomous Vehicles Manager of Software Performance Engineering for Autonomous Vehicles at NVIDIA, focusing on scaling performance engineering efforts across the NVIDIA DRIVE Autonomous Solutions (NDAS) product portfolio. The role involves leading a team, defining roadmaps, improving workflows, and collaborating with customers and internal teams to ensure high-quality autonomous driving experiences. | — | 5 |
| Lead Software Engineer, Fleet Management - DGX Cloud Lead Software Engineer for NVIDIA's DGX Cloud team, focusing on building foundational systems for high-performance GPU infrastructure. The role involves designing scalable cloud services, ingesting telemetry from AI datacenters, managing data pipelines, and optimizing cloud operations. Requires expertise in cloud infrastructure, distributed systems, and API design, with a focus on operational automation and reliability. | — | 5 |
| Senior VLSI CAD Software Engineer Senior VLSI CAD Software Engineer role at NVIDIA, focusing on designing, developing, and supporting high-performance chip design and visualization tools. The role involves full-cycle development in an Agile environment, utilizing modern tooling and AI-assistants, and collaborating with internal engineering customers. Requires significant experience in CAD/EDA tool development with expertise in C++, Java, or C#, and strong software architecture skills. The role is in an AI environment but does not directly build AI models. | — | 5 |
| Senior Cybersecurity Engineer – Identity Platform and Access Management Senior Cybersecurity Engineer focused on leading the development and improvement of large-scale identity and access management systems, with a specific emphasis on modernizing authentication for agentic AI and developer workflows within NVIDIA's global infrastructure. | — | 5 |
| Senior VLSI Methodology Engineer Senior VLSI Methodology Engineer to architect automation for library modeling, quality checks, and release for NVIDIA's PD flows. Build and integrate data-driven pipelines and verification systems, collaborating with process and cell-design teams to align modeling standards with advanced technology nodes. | — | 5 |
| Senior System Software Engineer, NCCL - Partner Enablement Senior System Software Engineer focused on NCCL (NVIDIA Collective Communications Library) for scaling Deep Learning and HPC applications. The role involves engaging with partners and customers to troubleshoot functional and performance issues, conduct performance analysis on GPU clusters, develop automation tools, and provide guidance on running applications on multi-node clusters. Experience with parallel programming, communication runtimes, high-performance networking, and Linux is required. | Serve | 5 |
| Senior System Software Engineer, Compute System Senior System Software Engineer to work on the architecture and design of user mode drivers that interact with GPU, DLA and other Tegra compute engines. Focus on functional safety software for automotive sectors and safety certification. | — | 5 |
| Developer Technology Engineer NVIDIA is seeking a Senior Developer Technology Engineer focused on game consoles to optimize applications for NVIDIA's GPU architectures. This role involves working with developers on software, engines, and libraries to improve performance and efficiency, with a focus on AI inferencing workloads and cutting-edge rendering techniques. | Serve | 5 |
| Circuit Design Engineer NVIDIA is seeking a Circuit Design Engineer to design and optimize circuit designs, focusing on noise reduction techniques. The role involves collaborating with cross-functional teams, utilizing advanced simulation tools, and applying AI-driven methodologies for circuit optimization and predictive capabilities. Experience with EDA tools, silicon bringup, and AI for design tasks is required. | — | 5 |
| Senior Life Cycle Engineer, PyTorch - Deep Learning NVIDIA is seeking Senior Software Engineers to build and maintain systems for continuous integration, testing, and delivery of advanced software stacks, focusing on improving developer productivity for NVIDIA's AI software ecosystem and ensuring deep learning frameworks run optimally on NVIDIA hardware. This is a software engineering role focused on tools and infrastructure. | — | 5 |
| Customer Program Manager - Generative AI NVIDIA is looking for a Senior Customer Program Manager to manage technical and operational programs for key enterprise customers and cloud service providers in the Generative AI domain. The role involves defining program schedules, translating requirements, driving cross-functional execution, acting as the primary customer interface, and ensuring on-time delivery and post-deployment support. Requires strong technical program management, hardware/software product development experience, and ability to work in fast-paced, global environments. | — | 5 |
| Senior AI Chip Design Engineer NVIDIA is seeking a Senior AI Chip Design Engineer to develop and implement AI-powered methodologies and applications for chip design. This role involves collaborating with design teams, utilizing AI tools, evaluating new technologies, and building automation infrastructure to improve the chip design process. The ideal candidate has extensive pre-silicon design experience and a strong understanding of the modern AI ecosystem. | — | 5 |
| Partner Solutions Architect – Nordics This role is for a Partner Solutions Architect who will promote NVIDIA's accelerated computing solutions, including AI/ML, hybrid cloud, and simulation, to partners in the Nordics region. The architect will provide pre-sales support, conduct workshops, and help partners develop end-to-end solutions using NVIDIA's AI software and infrastructure. The role requires strong technical sales, communication, and partner-facing experience, with an understanding of the full stack from AI applications to data center needs. | — | 5 |
| Partner Solutions Architect – DACH and CEE Region NVIDIA is seeking a Partner Solutions Architect to work with partners in the DACH and CEE region, promoting NVIDIA's accelerated computing solutions including AI/ML, hybrid cloud, and digital twin technologies. The role involves enabling partners through workshops, providing pre-sales support, building communities, and acting as a technical point of contact for partners to craft solutions for customers engaged in AI, DL/ML, HPC, and other areas utilizing NVIDIA technology. Responsibilities include delivering technical sales presentations, demonstrations, training, and proof of concepts. | — | 5 |
| Senior Test Development Engineer - DataCenter System Software This role focuses on developing and maintaining automated test frameworks and pipelines for server firmware and software within a data center context. While the role mentions using AI tools to facilitate automation and applying AI/ML techniques to optimize test workflows, the core craft is test development and engineering for server hardware and software, not building AI models or systems themselves. The primary output is robust server firmware and software quality, not AI deliverables. | — | 5 |
| Senior Solutions Architect, NVIDIA Cloud Partners This role focuses on assisting and supporting customers in building solutions with NVIDIA's AI technology, acting as a technical advisor for Generative AI and LLMs. Responsibilities include collaborating with partners, providing technical support for GPU cloud infrastructure, and working with customers on proof-of-concepts and performance analysis of inference software. | — | 5 |
| Senior Software Engineer, Distributed Systems - NIM Factory Senior Software Engineer to design and build factory infrastructure and automation for NVIDIA Inference Microservices (NIMs). The role focuses on optimizing and serving performant inferencing for AI models in heterogeneous environments, building an efficient, scalable, and reliable automation factory to produce validated NIMs. | Serve | 5 |
| Partner Marketing Manager – Humanoid Robotics and Strategic Accounts NVIDIA is seeking a Partner Marketing Manager for Humanoid Robotics and Strategic Accounts in Korea. This role involves orchestrating joint marketing initiatives with partners, developing co-marketing playbooks, driving demand generation programs, and acting as a liaison between internal teams and partner marketing leads. The position requires a strong understanding of AI infrastructure and humanoid robotics, with a focus on pipeline generation and strategic alignment. | — | 5 |
| Software Product Manager – NVIDIA Base Command Manager Product Manager for NVIDIA Base Command Manager, an AI and HPC infrastructure management solution. The role involves collaborating with customers and internal teams to gather feedback, define features, plan the roadmap, and lead integrations to enhance the product's capabilities and market position. | — | 5 |
| Senior Developer Relations Manager - Manufacturing Senior Developer Relations Manager for Manufacturing in EMEA, focusing on accelerating the adoption of NVIDIA's AI and accelerated computing platforms within the industrial and manufacturing sectors. This role requires deep technical knowledge of industrial software ecosystems and AI applications in manufacturing, strong developer advocacy skills, and the ability to act as a technical advisor and bridge between the developer community and NVIDIA's internal teams. | — | 5 |
| Supercomputing Account Manager, Public Sector NVIDIA is seeking a Supercomputing Account Manager for the Public Sector, focusing on Federal Government and Academia. This role involves demand creation, co-selling, forecasting, and relationship management to drive revenue for NVIDIA's Data Center products. Requires deep understanding of the Federal business ecosystem and proven sales success, particularly with DOE labs. Collaboration with internal teams and partners is key to developing go-to-market strategies. | — | 5 |
| Healthcare AI Startups Lead - EMEA Lead for NVIDIA's Healthcare AI startup engagement in EMEA, focusing on building and scaling programs, engaging VCs, and driving regional strategy to accelerate adoption of NVIDIA technologies. | — | 5 |
| Healthcare Inception Start Up Lead NVIDIA is seeking a Healthcare Life Science (HCLS) DACH Startup Lead to build and scale its developer ecosystem in the DACH region. The role involves engaging with HCLS startups, VCs, and funding entities to accelerate the adoption of NVIDIA technology through scalable programming, hands-on engagement, and strategic partnerships. The ideal candidate has 12+ years of experience in startup ecosystems, understands the HCLS startup community in the DACH region, and can lead teams and scale developer impact. | — | 5 |
| Software Solutions Architect - NVIS This role focuses on helping customers deploy and integrate NVIDIA's AI and machine learning software stacks into their existing ML ops environments. The individual will collaborate with various stakeholders, diagnose issues, and develop scripts to streamline deployment and improve model performance, primarily within cloud-native environments using Kubernetes. | Serve | 5 |
| Senior Data Engineer, Telemetry and Infrastructure NVIDIA is seeking a Senior Data Engineer to build and maintain data pipelines for R&D telemetry and performance analytics. The role involves designing ETL/ELT frameworks, optimizing streaming pipelines with Spark, Kafka, and Databricks, and implementing data quality and observability standards for large-scale AI and HPC clusters. | — | 5 |
| Senior Deep Learning Test Development Engineer, SDET Senior Deep Learning Test Development Engineer (SDET) at NVIDIA, focusing on validating the performance and robustness of Deep Learning software and GPU infrastructure across various AI applications like autonomous driving, healthcare, and NLP. The role involves test plan design, execution, automation, bug management, and leveraging AI-powered tools for efficiency. | Serve | 5 |
| Senior Systems Software Engineer, CUDA Driver - Multi-Node and Memory Model NVIDIA is seeking a Senior Systems Software Engineer to work on the CUDA Driver, focusing on multi-node scalability and memory models for next-gen AI applications. The role involves architecting and implementing new features, coordinating development, and improving the CUDA platform. | — | 5 |
| Senior Developer Relations Manager, Robotics Physics and Simulation NVIDIA is seeking a Senior Developer Relations Manager for their Robotics ecosystem team. This role serves as a technical liaison between internal NVIDIA teams and the global robotics community, focusing on driving adoption of the Newton framework and guiding developers in using NVIDIA Warp for GPU-accelerated solvers. The goal is to help bridge the "sim-to-real" gap through differentiable physics and large-scale simulation. | — | 5 |
| Senior Software Engineer, DriveAV - Autonomous Vehicles NVIDIA is seeking a Senior Software Engineer for their DriveAV team in Bangalore, India, to work on autonomous vehicle software. The role involves supporting the integration and issue resolution of ADAS features, mapping customer requirements, and diving deep into root cause analysis. The ideal candidate will have 5+ years of experience in ADAS or autonomous driving software, experience integrating AV functions, and understanding of fault mapping and diagnostic routines. | — | 5 |
| Senior Accelerated Computing Architect Senior Accelerated Computing Architect role at NVIDIA focusing on optimizing performance on NVIDIA GPUs for HPC, scientific computing, ML, AI, datacenter, and automotive computing. Requires deep understanding of parallel algorithms, data structures, GPU programming (CUDA/OpenCL), and C/C++. | — | 5 |
| Senior Developer Relations Manager, Manufacturing Senior Developer Relations Manager focused on the Manufacturing industry, driving adoption of NVIDIA's GPU-Accelerated Computing platforms and AI/ML technologies. The role involves technical advisory, enablement, community building, and advocating for developer needs to influence product roadmaps. | — | 5 |
| Senior Developer Relations Manager, ISV Senior Developer Relations Manager to engage with ISV developers, foster adoption of NVIDIA's AI and computing platforms, and provide technical consulting and enablement. The role involves collaborating with internal teams, representing partner needs, and identifying growth opportunities within the developer ecosystem. | — | 5 |
| Senior Security Software Engineer, SPE NVIDIA is seeking a Senior Security Software Engineer to join their System Production Engineering group. The role involves leading the development of security libraries and integrations, designing and maintaining Python-based test automation frameworks for networking products, and collaborating with hardware components and security architects. A key aspect of the role is the daily use of AI-assisted development tools and data-oriented analysis of code quality and production metrics. The position requires strong Python development experience, end-to-end ownership of automation projects, and proficiency in both Windows and Linux. | — | 5 |
| Senior Materials Planner NVIDIA is seeking a Senior Materials Planner to join their Global Supply Chain Procurement team. The role focuses on materials readiness, supply chain agility, and managing contract manufacturing partners. Responsibilities include driving the Clear-to-Build process, identifying and mitigating component risks, implementing data-driven inventory strategies, and collaborating with suppliers and internal stakeholders. The role requires experience in the semiconductor industry, working with contract manufacturers, data analytics, ERP systems, and PDM systems. A key aspect is leveraging AI tools to improve workflow and data analysis. | — | 5 |
| Senior Solutions Architect, Networking - CSP This role is for a Senior Solutions Architect focused on networking for AI/ML and HPC on hyperscalers. The individual will work with large customers to develop and demonstrate solutions using NVIDIA's hardware and software, debug issues, manage feature requests, and provide technical insight into AI infrastructure and performance. | — | 5 |
| Senior Financial Analyst, Hardware Engineering - FP&A Senior Financial Analyst for Hardware Engineering FP&A at NVIDIA, focusing on R&D spend, NPI roadmap, and financial planning. The role involves partnering with Engineering and Operations, leveraging AI-enabled tools for analysis and reporting, and identifying optimization opportunities. Requires strong financial modeling, data synthesis, and cross-functional collaboration skills. | — | 5 |
| Senior Software Development Engineer in Test - SDET Senior Software Development Engineer in Test (SDET) for NVIDIA's Enterprise SWQA team, focusing on automation development, test and validation infrastructure, and utilizing AI tools to enhance testing capabilities for chip validation. | — | 5 |
| Manager, Project Delivery - NVIS NVIDIA is seeking a Manager, Project Delivery to lead a team of Project Managers supporting enterprise data center environments, with a focus on top CSP and AI platform accounts. The role involves people management, talent development, operational excellence, and ensuring the successful delivery of complex customer projects in AI and HPC. | — | 5 |
| Manager, Technical Delivery APAC - NVIS Manager for technical delivery of AI/HPC clusters in APAC, focusing on InfiniBand, networking, and data center infrastructure. Requires strong technical background in NVIDIA products and data center technologies, coupled with people management skills and bilingual (English/Mandarin) proficiency. | — | 5 |
| Manager, Data Center and AI Infrastructure Campaigns Manager for Data Center and AI Infrastructure Campaigns at NVIDIA, leading a team to drive global marketing initiatives highlighting NVIDIA's leadership in AI Infrastructure technologies to developer, IT, and C-suite audiences. Responsibilities include campaign planning, team management, cross-functional collaboration, and performance measurement. | — | 5 |
| Developer Relations Manager, AI Natives Developer Relations Manager for NVIDIA Inception Program, supporting AI-native startups in designing, building, and deploying AI solutions using NVIDIA platforms. Requires strong technical foundation and experience with startups. | — | 5 |
| Senior Software Engineer Aerial – Wireless RAN Algorithms Development Senior Software Engineer role focused on developing and improving Radio Access Network (RAN) algorithms for 5G/6G networks, with a significant emphasis on integrating AI/ML and Deep Learning technologies into GPU-accelerated systems. The role involves system build, research, composition, development, customer interaction, and performance analysis. | Serve | 5 |