Distinguished Engineer, Observability, Monitoring, and Remediation

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.

What You’ll Be Doing:

• 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.

What We Need to See:

• 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.

Ways to Stand Out from the Crowd:

• 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.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you!

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 March 2, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.