Currently tracking 440 active AI roles, down 53% 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 110 new AI-related roles. That is a -50% change versus the prior 30 days (218 → 110).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer, AI Inference Systems Senior Software Engineer focused on building and optimizing AI inference systems for large-scale models, involving GPU kernel optimization, inference framework development (vLLM), benchmarking (MLPerf), and orchestration of distributed deployments. | Serve | 9 |
| Solutions Architect - AI for Drug Discovery NVIDIA seeks a Solutions Architect for their EMEA team to drive AI adoption in drug discovery within the biopharma industry. The role involves acting as a technical advisor to pharmaceutical companies, biotechs, and research organizations, leveraging NVIDIA's computing platform. Responsibilities include building proof-of-concept demonstrations, scaling AI deployments, and supporting business development by guiding customers on production-grade inference, model training, RL, and post-training algorithms. The role also involves exploring foundation models, agentic LLM applications, and physical AI in biopharma, providing feedback to internal teams, and documenting/teaching NVIDIA solutions. |
| ServePost-train |
| 8 |
| Senior Software Engineer, JAX Senior Software Engineer to develop NVIDIA's AI platform, focusing on performance optimizations in deep learning frameworks using JAX. The role involves designing and implementing JAX core components, driving performance on NVIDIA products, and building tools to increase efficiency for AI-based systems. | Serve | 8 |
| Principal AI Developer Technology Engineer Seeking a Principal Developer Technology Engineer to research and develop techniques for GPU acceleration of AI workloads, focusing on performance optimization of deep learning and HPC algorithms on modern CPU and GPU architectures. This role involves collaborating with internal teams and the developer community, influencing hardware/software design, and publishing findings. | Serve | 8 |
| Solution Architect, Financial Services Solutions Architect for Financial Services at NVIDIA, focusing on guiding customers in leveraging NVIDIA's AI technologies, particularly in areas like model distillation, domain adaptation, reinforcement learning, and post-training algorithms. The role involves technical advocacy, collaborative innovation, and knowledge sharing within the financial services sector, requiring expertise in AI frameworks, Python, distributed computing, and the AI model lifecycle. | Post-trainPretrain | 8 |
| Solution Architect, Energy NVIDIA is seeking a Solution Architect with deep expertise in AI solutions to drive the efficient use of compute platforms in the Energy Industry. The role involves being a trusted technical advisor to developers and customers, embedding NVIDIA software, improving application performance, and establishing the foundation for next-generation AI systems. Responsibilities include supporting business development, working directly with customers, assisting in the adoption of NVIDIA software, analyzing architectures for acceleration opportunities, providing feedback to engineering teams, and delivering trainings and demonstrations. Requires an MS/PhD in a technical field, 5+ years of experience in AI/ML/DL/NLP/Generative AI, and 5+ years of industrial experience in power grid software and advanced ML for grid operations. Familiarity with accelerated computing, GPU systems, Python/C/C++, major AI frameworks, containers, and version control is essential. Experience designing and building complex AI/ML solutions, and reasoning across various system components is also required. | Serve | 8 |
| Senior HPC AI Cluster Engineer NVIDIA is seeking an experienced HPC-AI Engineer to join their Networking Clusters Solutions Infrastructure team. The role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job schedulers, developing CI/CD pipelines, and automating infrastructure deployment and monitoring. The engineer will work with cutting-edge hardware and software, support R&D, and engage in POCs for future improvements. | Serve | 7 |
| Solution Architect, Financial Services NVIDIA is seeking a Solutions Architect for Financial Services to act as a trusted technical advisor to customers, enabling their productivity and driving adoption of NVIDIA's AI technologies. The role involves working with financial institutions, providing technical guidance, developing solution prototypes, and staying updated on industry trends. Requires a BS/MS/PhD in a technical field, 5+ years of AI experience, financial services background, and expertise in coding for NVIDIA GPUs. | Serve | 7 |
| Solution Architect, Energy Solution Architect with deep expertise in AI solutions for the Energy Industry, focusing on efficient use of compute platforms. The role involves being a trusted technical advisor, embedding NVIDIA software into customer architectures, improving application performance, and establishing foundations for next-gen AI systems. Responsibilities include supporting business development, working directly with developers and customers, analyzing architectures for acceleration, providing feedback to engineering/product/research, and delivering trainings/hackathons. | Serve | 7 |
| Senior Networking Solution Test Engineer – AI Cluster Debugging Senior Networking Solution Test Engineer focused on debugging large-scale AI clusters, NVLink, Ethernet, and InfiniBand. The role involves designing tests, building testbeds, end-to-end troubleshooting, collaborating with development teams on networking components, and profiling deep learning workloads. | Serve | 7 |
| Senior HPC DevOps Engineer NVIDIA seeks a Senior HPC DevOps and Network Engineer to build future supercomputers and HPC clusters, focusing on AI and GPU computing advancements. The role involves designing, implementing, and maintaining large-scale clusters with state-of-the-art monitoring, IaC, CI/CD pipelines, and automation. Responsibilities include troubleshooting complex issues, leading technical resources, and supporting R&D for future improvements. Requires 5+ years of experience with HPC/AI technologies, programming/scripting, CI/CD tools, Linux/Windows, networking (InfiniBand, Ethernet), job schedulers (Slurm, Kubernetes), storage solutions, and virtualization. Cloud platform familiarity is a plus. | — | 5 |
| Compute Performance Developer Technology Engineer Software developer or computer scientist to join Compute Developer Technology team focusing on research and development of techniques to accelerate leading applications in scientific computing, computational engineering, data analytics, and artificial intelligence. Responsibilities include in-depth analysis and optimization for performance on CPU, GPU, and network architectures, guiding key application developers, developing reference codes or libraries, and creating/optimizing core parallel algorithms and data structures using the NVIDIA platform. The role also involves influencing next-generation architectures and software stack design. | Serve | 5 |
| Developer Technology Engineer, Energy NVIDIA is seeking a Developer Technology Engineer to optimize Energy simulation and AI workflows on NVIDIA platforms, focusing on CUDA performance optimization for HPC/AI production workloads. The role involves hands-on work with customers and internal teams to deliver speedups and scalable performance on multi-GPU/multi-node systems. | Serve | 5 |
| Senior Developer Relations Manager - Telecommunications Senior Developer Relations Manager for NVIDIA, focusing on engaging developer ecosystems in the telecom domain to drive adoption of NVIDIA's AI and computing platforms. Requires deep technical expertise, commercial go-to-market experience, and passion for developer advocacy. | — | 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 |
| General Account Software Sales Specialist NVIDIA is seeking a General Account Software Sales Specialist to drive software revenue growth for their Accelerated Datacenter solutions in EMEA. The role involves developing customer relationships, co-selling with partners, and communicating NVIDIA's technology impact in AI/ML and infrastructure segments. Requires experience in high-tech sales, AI knowledge, and familiarity with NVIDIA's AI platform. | — | 5 |
| Senior Developer Relations Manager - EMEA AI Natives Seeking a Senior Developer Relations Manager to engage with EMEA AI Natives developer ecosystems, fostering adoption of NVIDIA's AI and computing platforms. Role involves technical advisory, demonstrating solutions, guiding partners, and collaborating with internal teams to drive adoption and influence roadmaps. | — | 5 |
| Senior Developer Relations Manager - CSP Senior Developer Relations Manager for NVIDIA's CSP team in EMEA, focusing on engaging developer ecosystems and fostering adoption of NVIDIA's AI and computing platforms at global CSPs. Requires deep technical expertise, commercial go-to-market experience, and passion for developer advocacy. | — | 5 |
| Senior Network Solution Architect Senior Network Solution Architect role at NVIDIA, focusing on driving end-to-end technology solutions with a specific emphasis on the networking portfolio. The role involves supporting sales engagements, defining reference architectures, managing technical accounts, responding to RFPs, building POCs, and providing feedback to engineering teams. It requires deep networking experience and understanding of datacenter engineering, with a focus on AI and LLM applications. | — | 5 |
| GSI Client Manager Client Director for Global System Integrators (GSI) focused on infrastructure and managed services in EMEA, managing business relationships and enabling GSIs to provide AI-enabled services. This role involves defining strategy, devising enablement plans, and acting as a bridge between GSIs and NVIDIA Solution Architects for PoCs and RFQs. | — | 5 |
| Infiniband Network Engineer NVIDIA is seeking a Senior HPC Engineer to deploy, manage, and maintain Infiniband networks for AI Factory infrastructure in Linux environments. This role involves customer interaction, system design, automation, and providing feedback to internal teams. The ideal candidate has 4+ years of experience with Infiniband networks and troubleshooting. | — | 5 |
| Senior Math Libraries Engineer – Emulation in AI and HPC NVIDIA is seeking software engineers to join their math libraries teams focused on AI and HPC kernel generation. The role involves designing and implementing high-performance numerical linear algebra software on GPUs, with a focus on emulating math operations across different precisions. This position requires strong CUDA and C++ experience, knowledge of GPU architecture, and fundamentals in finite precision arithmetics and numerical methods for linear algebra. While the role supports AI and HPC, the core craft is in the foundational math libraries and kernel generation, not direct AI model development or deployment. | — | 2 |
| Senior Software Engineer – Infrastructure & Network Automation Senior Software Engineer role focused on designing and developing automation platforms for NVIDIA's Data Center environments, involving provisioning, configuration, and monitoring of HPC data centers. Requires strong Linux, scripting, DevOps, and networking expertise. | — | 0 |
| Senior Software and System Architect This role is for a Senior Software and System Architect at NVIDIA, focusing on defining the architecture for next-generation DPUs & NICs technologies. The position involves researching new technologies, defining architecture for cloud networking, orchestration, provisioning, and security solutions, and building end-to-end solutions from application to hardware. The role requires strong C, Python, and Linux development skills, experience with cloud and data center networking, and the ability to develop POC prototypes. | — | 0 |
| Senior Software K8S Engineer Senior Software Engineer role focused on developing and accelerating network and storage features within the Kubernetes ecosystem for NVIDIA's cloud platforms. Requires strong experience in software development, Golang, Kubernetes, and network protocols. | — | 0 |
| Senior HPC Performance Engineer Senior HPC Performance Engineer at NVIDIA to analyze and optimize High Performance Computing (HPC) applications on HPC servers and systems, focusing on performance characteristics and identifying optimization opportunities for compiler and application engineering teams. This involves working with applications ranging from benchmarks to large-scale distributed systems with heterogeneous compute nodes (CPUs, GPUs, many-core processors). | — | 0 |
| Project Technical Delivery Manager Project Technical Delivery Manager at NVIDIA, responsible for managing projects through their entire lifecycle in datacenter environments. Requires experience in project delivery, field services, customer support for hardware & software, and knowledge of data center infrastructure. Focuses on ensuring projects are delivered on time, within budget, and meet technical requirements, involving stakeholder management, technical solution presentation, and communication with internal teams, customers, and partners. | — | 0 |
| EMEA Payroll Specialist - Finance (Fixed Term) NVIDIA is seeking an EMEA Payroll Specialist to manage day-to-day payroll compliance, processing, remittances, and filings across EMEA regions. The role involves coordinating with HR and Finance, managing sensitive information with confidentiality, and supporting special projects like business process improvements. Requires extensive payroll and employment tax background, strong communication, and independent work capabilities. | — | 0 |
| Supercomputing and Higher Education Account Manager Account Manager role focused on Supercomputing and Higher Education customers in France, responsible for building relationships, understanding market dynamics, and driving adoption of NVIDIA products and services. Requires significant experience in HPC sales and knowledge of the French Higher Education and Research markets, with AI/Deep Learning knowledge being a significant advantage. | — | 0 |