NVIDIA

Cloud Automation Engineer

India

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Cloud Computing, Artificial Intelligence, HardwareIndustries

Cloud Software Engineer - DGX Cloud Engineering Team

Employment Type: Full time

Position Overview

NVIDIA is seeking a passionate Cloud Software Engineer to join our DGX Cloud Engineering Team. In this role, you will significantly contribute to shaping the future of AI and GPUs in the Cloud. NVIDIA DGX Cloud is a specialized cloud platform designed for AI tasks, empowering organizations to transition their AI projects from development to deployment in the era of intelligent AI. If you are passionate about cloud software development, committed to quality, and excel at building cloud-scale software systems, join our team at NVIDIA as we deliver GPU-powered services globally.

What You'll Be Doing

  • Play a crucial role in ensuring the success of the DGX Cloud platform by building our development and release processes.
  • Create world-class performance and quality measurement and regression management tools.
  • Maintain a high standard of excellence in our CI/CD, release engineering tools, and processes.
  • 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-premises 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.

Requirements

  • Demonstrated understanding of cloud design in areas of virtualization and global infrastructure, distributed systems, and security.
  • Expertise in Kubernetes (K8s) & KubeVirt.
  • Background with building RESTful web services.
  • Experience with Docker and Containers.
  • Experience with Infrastructure as Code.
  • Background with Cloud Service Providers (CSPs), for example: AWS (Fargate, EC2, IAM, ECR, EKS, Route53 etc.).
  • Experience with Continuous Integration and Continuous Delivery.
  • Excellent interpersonal and written communication skills.
  • BS or MS in Computer Science or an equivalent program from an accredited University/College.
  • 3+ years of hands-on software engineering or equivalent experience.

Ways to Stand Out

  • Expertise in Virtualization technologies such as Firecracker, KVM, OpenStack, Nutanix AHV & Redhat OpenShift.
  • A track record of solving complex problems with elegant solutions.
  • Experience with Go & Python, load testing frameworks, and secrets management.
  • Demonstrated delivery of complex projects in previous roles.

Company Information

Today, we are tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Skills

Cloud Software Engineering
AI
GPUs
Cloud Platform
CI/CD
Release Engineering
PaaS
IaaS
Kubernetes
KubeVirt
RESTful web services
Docker
Containers
Infrastructure as Code
AWS
Fargate
EC2
IAM
ECR
EKS
Route53
Continuous Integration
Continuous Delivery
Virtualization
Global Infrastructure
Distributed Systems
Security

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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