Distinguished Engineer – GPU Fleet Operations Automation

🕒 January 2

🏄 California, Colorado, +3 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🤠 Texas – Remote

💵 $308k - $471.5k / year

⏰ Full Time

🟠 Senior

🔴 Lead

⚙️ Operations

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• equity • benefits