Senior AI Infrastructure Engineer - DGX Cloud at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud Computing, TechnologyIndustries

Requirements

BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience
6+ years of experience
A track record showing a good balance between initiating your own projects, convincing others to collaborate with you and collaborating well on projects initiated by others
Experience with infrastructure automation and distributed systems design developing tools for running large scale private or public cloud systems in production
Experience in one or more of the following: Python, Go, C/C++, Java
In depth knowledge in one or more of Linux, Networking, Storage, and Containers Technologies
Experience with Public Cloud and Infrastructure as a code (IaC) and Terraform
Distributed system experience

Responsibilities

Design, build, deploy, and run internal tooling for large scale AI training and Inferencing platform built on top of cloud infrastructure
Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters
Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation and refinement
Support services before they go live through activities such as system design consulting, developing software tools, platforms and frameworks, capacity management and launch reviews
Maintain services once they are live by measuring and monitoring availability, latency and overall system health
Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity
Practice sustainable incident response and blameless postmortems
Be part of an on call rotation to support production systems

Skills

Key technologies and capabilities for this role

KubernetesOpenStackSREGPUmulti-GPU clustersmulti-node clustersnetworkingdatabasescapacity managementcontinuous deliveryperformance analysissystem designmonitoring

Questions & Answers

Common questions about this position

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

The role requires a BS degree in Computer Science or related field (or equivalent) and 6+ years of experience.

What programming languages are needed for this position?

Experience in one or more of Python, Go, C/C++, Java is required.

What technical expertise is essential besides programming?

In-depth knowledge in one or more of Linux, Networking, Storage, and Containers Technologies is required, along with experience in Public Cloud, Infrastructure as Code (IaC), infrastructure automation, and distributed systems.

What is NVIDIA's company culture like for this team?

NVIDIA promotes a culture of diversity, intellectual curiosity, problem solving, and openness, encouraging collaboration, big thinking, risk-taking in a blame-free environment, self-direction on meaningful projects, and support with mentorship for growth.

What makes a strong candidate for this role?

A strong candidate has a track record of balancing self-initiated projects, convincing others to collaborate, and collaborating well on team projects, combined with hands-on experience in large-scale cloud systems.

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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