Senior DevOps and Automation Engineer, Fabric Networking - GPU at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High-Performance ComputingIndustries

Requirements

BS or MS in Computer Science, Computer Engineering, or a related field
5+ years of experience managing infrastructure or systems in high-performance or distributed environments
Expertise in scripting and automation using Python, Ansible, and Shell
Practical experience with modern CI/CD tools and infrastructure-as-code frameworks
Strong understanding of Linux, networking, and distributed system design
Proven ability to break down monolithic systems into scalable, loosely coupled components
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment

Responsibilities

Build and maintain CI/CD pipelines that support fast, reliable integration and deployment across complex systems
Design tools and automation workflows that simplify software releases, manage dependencies, and increase reliability
Accelerate development by modularizing systems and enabling independent release cycles
Build infrastructure automation for provisioning, scaling, and maintaining GPU clusters
Automate software updates and monitor system health to improve reliability and availability
Troubleshoot and resolve operational issues across distributed infrastructure
Manage firmware and software rollouts to minimize downtime and ensure consistency
Work with global engineering teams to align infrastructure tools and support project achievements

Skills

Key technologies and capabilities for this role

PythonAnsibleShellCI/CDInfrastructure as CodeGPU ClustersNVLinkInfiniBandAutomationHPC

Questions & Answers

Common questions about this position

What education and experience are required for this Senior DevOps and Automation Engineer role?

A BS or MS in Computer Science, Computer Engineering, or a related field is required, along with 5+ years of experience managing infrastructure or systems in high-performance or distributed environments.

What key technical skills are needed for this position?

Expertise in scripting and automation using Python, Ansible, and Shell is required, along with practical experience with modern CI/CD tools and infrastructure-as-code frameworks, and a strong understanding of Linux, networking, and distributed system design.

Is this a remote position, or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a candidate stand out for this DevOps Engineer position?

Candidates stand out with experience in cluster management tools like Slurm, familiarity with NVIDIA DGX/HGX systems and GPU-based clusters, knowledge of observability tools such as Prometheus and Grafana, and proven ability to lead DevOps process improvements.

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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