Distinguished Engineer, Observability, Monitoring, and Remediation

NVIDIA•Us, CA

About The Position

NVIDIA is leading the industry in delivering accelerated computing in cloud and enterprise environments. We’re a team of innovative engineers dedicated to solving some of the world’s biggest challenges, constantly driving advancements, and impacting millions of lives worldwide! As a technology leader at NVIDIA, you will own the development of DGX Cloud strategy for observability, monitoring, and remediation across all layers of infrastructure, IaaS, platforms and applications. You will define and drive the technical strategy for collecting, storing, analyzing, and model development related to observability data. Including defining the technical strategy for issue detection and notification. Most importantly, you will develop auto-remediation strategies to detect, fix, validate, and restore-to-service, components across all layers and in multiple systems. You will work with NVIDIA leadership multi-functionally to build accelerated computing infrastructure that enables customers with the highest availability and operational standards, without compromising on performance or developer experience.

Requirements

18+ overall years in technical roles with a focus on observability and monitoring for cloud infrastructure, platforms, and applications.
5+ 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 sophisticated 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.

Nice To Haves

Application of Artificial Intelligence: Real world experience applying model development, RAG, MCP, and Agentic AI technical solutions to the problem of observability data analytics, issue identification and remediation.
Industry Expertise: Direct experience in designing, developing, delivering and operating highly available scaled (up/out) systems in enterprise and cloud environments.
Engineering Enablement: History of creating scalable processes and extensible systems that facilitate observability, monitoring, remediation as foundational capabilities employed by engineers building infrastructure, IaaS, platforms, and applications.
Open Source Collaboration: Familiarity with open source ecosystems and projects in the observability and monitoring space. Ability to collaborate and influence in open source project governance, represent NVIDIA customers and partners interest in technical alignment and direction.

Responsibilities

Various Architectural Work: define and drive the technical implementation for DGX Cloud offerings in the observability, monitoring, and remediation practice.
Collaborate on Cross Domain Disciplines: drive awareness and technical strategy for the technical capabilities into DGX Cloud engineering practices.
Accelerate Integration: Guide the technical delivery into DGX Cloud systems across all delivery environments: enterprise, public cloud, and high security / isolated deployments.
Engage with External Stakeholders: Collaborate with customers, infrastructure providers, and strategic partners to ensure NVIDIA’s solutions set industry standards for availability and operational excellence of accelerated computing infrastructure and platforms.
Enablement: Ensure that DGX Cloud, our customers, and partners achieve operational excellence across all environments.
Full Software and System Lifecycle: From ideation, design, and development to continuous deployment, operations, and full lifecycle management.
Lead all technical aspects of planning and continuous evolution of large technical scope.