DevOps Engineer at NVIDIA

Ra'anana, M, Israel

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, High-Performance ComputingIndustries

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
2+ years of experience building and maintaining DevOps processes, with a strong focus on automation and reliability
Solid experience with major Linux distributions (Ubuntu, RedHat)
Proficient scripting skills in Bash, Python, and Groovy
Understanding of Linux virtualization technologies (QEMU/KVM, Docker) and orchestrators like Kubernetes
Hands-on experience with configuration management tools (e.g., Ansible)
Knowledge in on-premises networking and compute infrastructure
Familiarity with CI/CD tools such as Jenkins, GitHub/GitLab, Kubernetes, and GitHub Actions
Excellent written and verbal communication skills in English

Responsibilities

Design, build, and maintain robust HPC and cloud infrastructure utilizing state-of-the-art technologies and cutting-edge hardware
Automate the deployment, configuration, and management of network and compute resources, including bare metal servers, network switches, and VMs
Develop and streamline CI/CD pipelines to enable continuous integration and delivery for our R&D engineering teams
Optimize infrastructure for availability, performance, observability, security, scalability, and cost-efficiency
Collaborate closely with software development teams to integrate automated testing and quality assurance into deployment workflows
Troubleshoot and resolve issues spanning infrastructure, networking, hardware, and software environments
Stay current with industry trends and incorporate best practices in DevOps and infrastructure management

Skills

Bash

Python

Groovy

Ubuntu

RedHat

QEMU

KVM

Docker

Kubernetes

Ansible

CI/CD

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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