NVIDIA · 7 hours ago
Distinguished Engineer, Utility Computing
NVIDIA is leading the industry in delivering accelerated computing in cloud and enterprise environments. As a technology leader, you will lead the development of DGX Cloud strategy for utility computing, focusing on Infrastructure as a Service systems to deliver accelerated computing hardware.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Various Architectural Work: define and drive the technical implementation for DGX Cloud utility computing systems to deliver bare metal and virtualized accelerated computing
Collaborate on Cross Domain Disciplines: drive the technical strategy and integrations for shared memory, storage, and networking systems
Accelerate Integration: Guide the technical delivery across varied environments: enterprise, government/sovereign, high security/air-gapped, and private datacenters
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 a large technical scope
Qualification
Required
18+ overall years in technical roles with a focus on operating systems, virtualization, networking, storage, and cloud infrastructure. Defining the abstractions and building the systems to deliver secure, highly available, durable systems for IaaS
7-10+ years of lead 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 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
Preferred
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 (e.g. Linux, KVM). Ability to collaborate and influence in open source project governance to represent NVIDIA, customers, and partners interests in technical alignment and direction
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
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