As a member of the architecture team, you will be responsible for understanding how the GPU sub-system modules interoperate and interact with overall system.
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As a member of the architecture team, you will be responsible for understanding how the GPU sub-system modules interoperate and interact with overall system.
Build automation for bare-metal provisioning, hardware validation, firmware and software upgrades, repair, and cluster lifecycle management. Develop tools that interact with BMC and Redfish interfaces to monitor hardware health, manage server state, and assist recovery workflows.
Contribute to a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers.
Maintain the demand and allocation levels across platforms, GPU counts, topologies, and workloads; coordinate capacity reservations, access, readiness checks, and debug windows with cluster owners.
Design, build, and optimize intelligent low-level compiler systems, including compiler-oriented agents, multi-step transformation workflows, tool use, memory, and orchestration.
As a member of this team, you will help shape a new way for people to interact with their PCs and connected devices through local AI.
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You'll implement the design the industry’s leading processor for deep learning, gaming, and dedication computing. Responsible for validation of features on Silicon using hands-on lab equipment like logic analyzers etc.
As a key technical member of a focused account team, you will serve as the main point of contact for NVIDIA products, enabling internet giants and cloud providers to have an innovative AI/ML software infrastructure.
Design and implement systems using standard navigation maps, e.g. Google maps, to help navigate the car along a route on a lane level. Ensure algorithms perform effectively across large-scale real-world and synthetic datasets in diverse environments..
Contributing to the design, development, and testing of our object storage system. Developing storage capabilities to support NVIDIA research teams and other users. Extending the availability and reliability of our deployments at scale – 10k+ nodes, exabytes of data.
Optimize context fusion software that integrates perception, map, and localization data to represent the driving environment. Design and refine software architecture, interfaces, and data flows to meet CPU, memory, and latency requirements on automotive platforms.
Build strong feedback loops with utilities, independent power producers, generation developers, transmission owners, RTOs and ISOs, EPC firms, equipment manufacturers, energy technology companies, NVIDIA Cloud Partners, and AI factory operators.
Building strong feedback loops with electrical engineering teams at NVIDIA Cloud Partners, data center providers, EPC firms, facility infrastructure OEMs, system integrators, and AI infrastructure operators.
Develop and maintain diagnostics software suite to efficiently stress test NVIDIA GPUs and SOCs to identify hardware defects, including defects that cause silent data corruption.
Building and completing go-to-market plans for internal sales and partner audiences for new products. This includes launch sequencing, partner engagement, sales training, communications, partner co-marketing asset creation, and cross-functional implementation.
As a Solutions Engineer at Ketryx, you’ll be a hands-on individual contributor responsible for the technical portion of enterprise sales cycles.
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Building interfaces for creating and updating content configurations. Adding schema validation, previews, and automated checks to catch configuration errors before release.
Set technical direction and lead architecture for complex initiatives spanning multiple teams. Design and guide implementation of player-facing systems across client, engine, UI, content, tooling, and services.