Senior AI Infrastructure Engineer, Cloud Partnerships - DGX Cloud at NVIDIA

Santa Clara, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Cloud ComputingIndustries

Requirements

8+ years of experience in infrastructure architecture, cloud native, or large-scale platform/reliability roles
Bachelor's degree or equivalent experience
Experience designing scalable, maintainable backend systems and writing clear design documentation
Strong understanding of multiple cloud infrastructure provider resource offerings
Demonstrated experience in normalizing and unifying diverse data sources from a variety of systems into broadly applicable schemas, enabling efficient querying and analysis
Proven ability to lead and influence cross-functional technical initiatives at scale across vendors and external partners, especially in reliability or platform domains
Demonstrated ability to design and implement maintainable APIs for internal and external customers
Proficiency in Kubernetes administration, modern CI/CD techniques and Infrastructure as Code (IaC)
Experience building resilient production systems using Golang, Python or Ruby
Experience in delivering production infrastructure across various cloud providers, including hands-on experience in building and managing this infrastructure, as well as managing vendor relationships

Responsibilities

Architect unified systems for integrating infrastructure provider maintenance events into NVIDIA engineering systems
Drive the adoption of operational excellence best practices across all infrastructure providers, partnering with SRE, infra, product, and security teams
Define and operationalize governance models for engineering support engagements, infrastructure maintenance lifecycles, and incident escalation paths
Measure provider availability against projected maintenance schedules using Service Level Objectives (SLOs)
Collaborate with AI/ML teams to integrate intelligent automation into maintenance workflows, such as projecting job capacity impact based on scheduled resource availability and suggesting infrastructure reallocations for high-profile initiatives
Develop a long-term roadmap to guide infrastructure providers in progressively adopting best practices for reliability and production hygiene across existing and new product introductions

Skills

Key technologies and capabilities for this role

AI InfrastructureCloud NativeAPI IntegrationsSRESLOsBackend SystemsInfrastructure ArchitectureVendor ManagementAutomationML Workflows

Questions & Answers

Common questions about this position

What experience level is required for this Senior AI Infrastructure Engineer role?

The role requires 8+ years of experience in infrastructure architecture, cloud native, or large-scale platform/reliability roles, along with a Bachelor's degree or equivalent experience.

What are the key technical skills needed for this position?

Key skills include proficiency in Kubernetes administration, modern CI/CD techniques and Infrastructure as Code (IaC), experience building resilient production systems using Golang, Python or Ruby, and a strong understanding of multiple cloud infrastructure provider resource offerings.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What makes a candidate stand out for this role?

Candidates stand out with proven experience in operating or architecting production systems across multiple cloud and bare-metal infrastructure providers, proficiency in data science tools such as Spark, Delta Lake, and Databricks, and hands-on production experience with workflow engines like Temporal, Argo, or similar.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free