…This senior software engineering role is part of the Machine Learning Inference Applications team and focuses on delivering high-performance model inference solutions for…

…Lead technical engagement with customer engineers, architects, and decision-makers to identify system architectures and key product requirements in the enterprise AI space. Support…

…Ready to build the platforms that make AI at scale possible? NVIDIA is seeking a Senior Staff Platform Engineer to architect, build, and scale…

…You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms. What you will…

…In this role, you will work at the intersection of platform architecture and production-grade Kubernetes lifecycle systems. You will help with technical strategy…

…AI/ML software stacks Compiler technologies Runtime systems Operating systems Distributed computing High-performance computing Heterogeneous computing architectures Demonstrated success driving cross-functional execution…

…GPU workloads. We are looking for a senior IC5 software engineer with deep Kubernetes expertise, required cloud infrastructure experience, and a strong distributed systems…

…About the role As an Architect on the Inference Systems Performance team, you'll own the discipline of end-to-end performance for large…

…adoption and adaptation on reconfigurable dataflow architectures Serve as the senior technical voice in critical design reviews, architectural decisions, and cross-functional planning—providing…

…Assist in building and maintaining distributed systems that power NVIDIA’s AI-powered enterprise products and services, learning modern architectural patterns along the way…

…cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. What You’ll Do - Architect, deploy, and operate Kubernetes…

…understanding of modern AI infrastructure, from GPU architectures to hardware performance optimization - Strong understanding of Linux-based systems in a distributed environment - Are experienced…

…provisioning, upgrades, patching, and deletion - Build GPU-aware orchestration systems, working within the platform architecture to support GPU scheduling and resource allocation - Partner with…

…and reliable GPU and CPU “host and instance lifecycle” control plane. - Guide technical decisions involving semiconductor architecture, BIOS/Firmware settings, system boot methodologies, and…

…Robust/extensive experience designing and shipping complex, high-performance or distributed software systems Deep foundation in software architecture, computer architecture, and accelerator-aware optimization…

…how agentic systems are architected and operated in production. You’ll bring strong foundational knowledge of LLMs, agentic AI, and GPU/model serving through…

We are seeking a Senior Software Development Engineer to build and scale the software systems that power perception and state estimation on our intelligent…

…architectures, or stream processing systems - -Experience leading and influencing your team or organization, or experience in developing and deploying LLMs in production on GPUs…

…Our systems coordinate hundreds of thousands of design jobs per day across global datacenters, supporting more than 1,000 designers working on GPU, CPU…

…An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what…

…Good understanding of the system level architecture of HSIO-based designs, like Ethernet or CXL Experience with Perl, Python or similar scripting and/or…

…Strong foundations in distributed systems, microservices, and platform architecture/design principles. Proven ability to architect and operate cloud-native infrastructure on AWS (compute, networking…

…automated tooling for vulnerability analysis. - Architect and lead critical projects — new kernel features, security patching infrastructure, deployment systems — from design through production and upstream…

…What you'll do Performance Insights & Observability - Design and build the systems that continuously assess AI infrastructure health and performance: GPU utilization and efficiency…

…wide test scenarios. - System Internals: Knowledge of Linux kernel internals, specifically PCIe topology, VFIO, and memory management (HugePages, IOMMU). - Distributed GPU Ecosystems: Familiarity with…