Senior Site Reliability 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

Technology, Cloud ComputingIndustries

Requirements

BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience
5+ years of experience
Experience with Infrastructure automation, distributed systems design, and designing/developing tools for running large scale private or public cloud systems in Production
Experience in one or more of the following: Python, Go, Perl or Ruby
In-depth knowledge of Linux, Networking, and Containers
Interest in crafting, analyzing, and fixing large-scale distributed systems (preferred)
Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive (preferred)
Ability to debug and optimize code and automate routine tasks (preferred)
Experience in using or running large private and public cloud systems based on Kubernetes, OpenStack, and Docker (preferred)

Responsibilities

Design, implement, and support operational and reliability aspects of large scale Kubernetes clusters with focus on performance at scale, real-time monitoring, logging, and alerting
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

Kubernetes

OpenStack

SRE

Networking

Databases

Automation

Continuous Delivery

Capacity Management

Performance Tuning

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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