DGX Cloud Automation Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Cloud ComputingIndustries

Requirements

BS or MS in Computer Science or equivalent program from an accredited University/College (or equivalent experience) with 10+ years of experience in DevOps and Deployment with 2+ years of programming in Golang
Demonstrate understanding of cloud design in the areas of virtualization and global infrastructure, distributed systems, and security
Expertise in Kubernetes (K8s) & KubeVirt
Expertise in bringing up bare metal in a datacenter (PXE Boot, DHCP, DNS, OS)
Experience with building RESTful web services
Background with Docker and Containers
Experience with Infrastructure as Code
Background with CSPs, for example: AWS (Fargate, EC2, IAM, ECR, EKS, Route53 etc.)
Experience with Continuous Integration and Continuous Delivery
Excellent interpersonal and written communication skills required with a track record of solving complex problems with elegant solutions

Responsibilities

Design, build, and implement scalable cloud-based systems for PaaS/IaaS
Work closely with other teams on new products or features/improvements of existing products
Develop, maintain and improve CI/CD tools for on-prems and cloud deployment of our software
Collaborate with developers, QA and Product teams to establish, refine and streamline our software release process
Support, maintain, and document software functionality
Build development and release processes, creating world-class performance and quality measurement and regression management tools, and maintaining a high standard of excellence in our CI/CD, release engineering tools and processes

Skills

Cloud Software Development

CI/CD

PaaS

IaaS

Release Engineering

Automation

GPU

Scalable Systems

Performance Measurement

Regression Management

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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