Distinguished Engineer, Observability, Monitoring, and Remediation at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Cloud ComputingIndustries

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

Responsibilities

  • Own the development of DGX Cloud strategy for observability, monitoring, and remediation across all layers of infrastructure, IaaS, platforms and applications
  • 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
  • Develop auto-remediation strategies to detect, fix, validate, and restore-to-service, components across all layers and in multiple systems
  • 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
  • Define and drive the technical implementation for DGX Cloud offerings in the observability, monitoring, and remediation practice
  • Drive awareness and technical strategy for the technical capabilities into DGX Cloud engineering practices
  • Guide the technical delivery into DGX Cloud systems across all delivery environments: enterprise, public cloud, and high security / isolated deployments
  • 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
  • Ensure that DGX Cloud, our customers, and partners achieve operational excellence across all environments
  • Lead all technical aspects of planning and continuous evolution of large technical scope across the full software and system lifecycle: from ideation, design, and development to continuous deployment, operations, and full lifecycle management

Skills

Observability
Monitoring
Remediation
Auto-remediation
IaaS
DGX Cloud
Accelerated Computing
Cloud Infrastructure
Issue Detection
Data Analysis
Model Development

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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