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Own product-definition analysis across performance, power, yield, and quality, using large silicon datasets to identify product opportunities, risks, and trade-offs.
Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers. Be the domain expert with customers during planning calls through implementation.
Working with NVIDIA Cloud Partners and OEMs in Public Sector on large data center GPU server and networking system deployments. Guide customer discussions on network design, compute/storage, and support bring up of server/network/cluster deployments.
Invent and build AI-powered systems that enhance software quality, engineering efficiency, and developer workflows.
Collaborate with OEM customers through their design, validation and production flows. Provide onsite support for bring-up and debug of OEM server hardware. Be involved in customer interaction, customer communication via conference calls, or face to face meetings.
We're expanding our team and looking for a Director/Senior Director, Server CPU Product Architecture, to lead the definition of NVIDIA's next-generation server CPUs. This is a meaningful role!
Work with robotics partners to adopt, extend, and scale NVIDIA’s simulation technologies. Build and optimize workflows spanning robot rigging, rigid and deformable-body physics, multi-solver integration, rendering, sensor simulation, and synthetic data generation.
Working closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics processors, as well as compute products.
Oversee and guide the entire product security strategy and roadmap for Jetson, L4T, and JetPack—from initial architecture and development through rollout and post-launch support—while establishing well-defined product-level security mandates, structural principles, release…
Collaborate across the company to guide the direction of platform security and develop a long-term security roadmap for our products, working with hardware, software, research and marketing teams.
As a Clocks team member, you will be architecting the clock domain to satisfy functional, physical and testing design requirements. Engage with multiple teams and design the GPU or CPU clocks to satisfy all the architectural/design/physical constraints.
Drive architecture for datacenter systems considering everything from the chip to the full datacenter. Work with counterparts from silicon, software, networking, operations, and other teams to define & build future NVIDIA products.
You will be key part of design, operations, and evolution of our Unified Communications platform, spanning Cisco Webex RoomOS and room systems, Microsoft Teams Rooms, and related collaboration services.
Implement features that showcase the capabilities Jetson, IGX based robotics, drones or industrial automation platforms, from board bring-up through production release.
Drive the architecture and implementation of math libraries APIs and documentation structures designed to be LLM-first: introspectable, explainable, and easily synthesized by AI agents. Work with internal and external stakeholders to deliver timely LLM-enhanced library releases.
Lead the global segment sales efforts for NVIDIA Cloud Partner software, directing the revenue plan and promoting pipeline development, partner-ecosystem growth, and customer adoption.
Lead and personally carry out complex, multi-disciplinary failure and root cause analysis (RCA) investigations on deployed hardware, electronic components, and coordinated systems.
Own positioning and messaging for NVIDIA's Local AI platform, translating one strategy into compelling value propositions for AI enthusiasts, developers, enterprises, OEMs, and partners.
Own the co-design, bring-up, and post-silicon validation of the analog, digital, and mixed-signal circuits that underpin NVIDIA's safety, security, reliability, and performance enhancement features — across the full PVT space, from first power-on through production sign-off.
Developing the next-gen Scale-up fabric for AI data-centers. Concentrating on collaborative communication and vertical co-development of AI networks alongside hardware, software, and applications.
Develop roadmap and framework for Enterprise Integration, B2B, and API ecosystems, embedding agentic AI capabilities to enable autonomous, adaptive, and self-optimizing integration strategies across the enterprise.
You will be the technical owner of how our clusters communicate internally and externally. This includes the CNI data plane, the overlay mesh, and the nodes connecting clusters across regions and providers.
Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon hardware design and related data. Supporting projects with applications ranging from silicon data analysis, process variation analysis, VLSI design analysis, timing analysis etc.
Direct positioning, messaging, and market entry strategy for Nemotron targeting developers, enterprise technical buyers, business decision-makers, and ecosystem partners.
US, USA