As a technology leader at NVIDIA, you will lead the development of DGX Cloud strategy for full stack integration. Specifically, architecting the seamless interface between accelerated hardware and software stacks to deliver bare metal and virtualized accelerated computing hardware to users. You will define and drive the technical strategy across multiple datacenter environments (enterprise, sovereign, neocloud). Including defining and developing the control and data plane systems that enable full stack integration (on-demand, scalable, metered) for accelerated computing hardware. You will work with NVIDIA leadership, cross-organizationally and cross-functionally, to establish the product definition, roadmap, and technical strategy to deliver full stack accelerated computing at scale.
What You'll Be Doing:- Various Architectural Work: Hardware-software boundary engineering, define and drive the technical implementation for DGX Cloud full stack integration systems, focusing on the interface between hardware, firmware, and system software layers.
- Collaborate on Cross Domain Disciplines: Layered stack integration, drive the technical strategy and integrations for shared memory, storage, and networking systems, extending these capabilities through the IaaS and PaaS layers.
- Infrastructure Delivery: Guide the technical delivery across varied environments including neocloud, enterprise, sovereign, and high security private datacenters, ensuring robust full stack connectivity.
- Engage Stakeholders: Collaborate with customers, infrastructure providers, and partners to ensure NVIDIA's solutions set the industry standard for performance and availability.
- Full Software and System Lifecycle: From ideation to architecture, design, development, deployment, operations, and full lifecycle management, lead all technical aspects of planning and continuous evolution of software, integrations, and operations.
What We Need to See:
- 15-20+ overall years in technical roles with a focus on low-level systems integration, including hardware, firmware, operating systems, and virtualization. Expertise in defining the abstractions and building the systems to deliver secure, highly available IaaS and PaaS layers.
- 7-10+ years of leadership experience
- BS/MS or higher or equivalent experience in systems / software engineering, or related engineering fields
- Technical proficiency in multi-tenant datacenter and cloud-native architectures, with a deep understanding of full stack connectivity for bare metal and virtualization across compute, storage, and networking.
- Proven success delivering high-impact technically complex solutions that achieve high levels of transparency into resource utilization, performance, and operational insights.
- Technical Leadership: Ability to synthesize cross-functional needs into architecture and design while guiding internal execution across diverse teams.
- Communication and Teamwork: Strong collaboration and influence skills, capable of leading engineering engagement, communicating with peers, partners, and working with high performance and accelerated computing customers.
Ways to Stand Out from the Crowd:- Application of Artificial Intelligence: Real world experience building the systems to support AI/ML workloads.
- Industry Expertise: Direct experience in designing, developing, delivering and operating secure, highly available, scaled out systems in enterprise and cloud environments.
- Engineering Enablement: Demonstrated history of creating scalable processes and extensible systems that facilitate cross-functional collaboration and operations at scale.
- Open Source Collaboration: Familiarity with open source ecosystems and projects in the infrastructure space (Linux, Kubernetes, CAPI, KubeVirt, Kata, ...). Ability to collaborate and influence in open source project governance to represent NVIDIA, customers, and partners interests in technical alignment and direction.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 15, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
