NVIDIA · 10 hours ago
Distinguished Engineer, GPU Fleet Operations Automation
United States
Full-time
Remote
Lead/Staff
$308K/yr - $472K/yr
15+ years expNVIDIA 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 GPU fleet lifecycle, health, observability and utilization monitoring, and remediation.
Artificial Intelligence (AI)Consumer ElectronicsGPUHardwareSoftwareVirtual Reality
Responsibilities
Various Architectural Work: define and drive the technical implementation for DGX Cloud operations practice for GPU fleet lifecycle
Collaborate on Cross Domain Disciplines: drive the technical strategy and awareness for best practices and technical capabilities into DGX Cloud engineering practices
Accelerate Integration: Guide the technical delivery into DGX Cloud across all delivery environments: enterprise, public cloud, and high security, isolated, sovereign
Engage Stakeholders: Collaborate with customers, infrastructure providers, and partners to ensure NVIDIA’s solutions set the industry standard for operational excellence
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 large technical scope
Qualification
Required
15-18+ overall years in technical roles with a focus on operations and automation for cloud infrastructure, platforms, and applications
5-10+ years of lead experience
BS/MS or higher or equivalent experience in systems / software engineering, or related engineering fields
Technical proficiency in multi-tenant data center and cloud-native architectures, with bare metal, virtualization, containerization, and higher level abstractions (IaaS, Kubernetes, Slurm), AI/ML platforms and applications
Shown 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 multi-functional needs into architecture and design while guiding internal execution across complementary teams
Communication and Partnership: Strong collaboration and influence skills, capable of leading engineering engagement, presenting with peers, partners, and working with high performance accelerated computing customers
Preferred
Application of Artificial Intelligence: Real world experience applying AI to component and system level issue identification and remediation
Industry Expertise: Direct experience in designing, developing, delivering and operating highly available scaled out systems in enterprise and cloud environments
Engineering Enablement: Demonstrated history of creating scalable processes and extensible systems that facilitate operations at scale
Open Source Collaboration: Familiarity with open source ecosystems and projects. Ability to collaborate and influence in open source project governance, 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.
10001+ employees
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
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
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