Manager, DevOps Engineering at NVIDIA

Tel Aviv-Yafo, TA, Israel

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Networking, Data CenterIndustries

Requirements

Bachelor's/Master's degree in Computer Science, Engineering, or equivalent experience
4+ years leading DevOps organizations for mid-range or enterprise company
8+ overall years hands-on experience in DevOps with focus on CI/CD and infrastructure development
Familiarity with Linux OS distributions
Strong knowledge of build systems: Jenkins or similar
Proven knowledge of Git SCM administration
Proficiency in Python, Java, Groovy or related programming languages
Proven success building and scaling teams in fast-paced, high-growth environments
Agility, excellent communication skills, customer-facing approach

Responsibilities

Supervise a team of 4+ experienced and highly motivated DevOps engineers
Architect, implement and support scalable CI processes for multiple NVIDIA Networking products
Closely collaborate with DevOps, IT and security teams across the globe to share, promote and improve CI practices
Build infrastructure for effective, high quality, reliable development and release processes for our products

Skills

Key technologies and capabilities for this role

JenkinsGit SCMPythonJavaGroovyLinuxDockerKubernetesCI/CDInfrastructure as Code

Questions & Answers

Common questions about this position

What experience is required for the DevOps Manager role?

The role requires a Bachelor's/Master's degree in Computer Science, Engineering, or equivalent experience, 4+ years leading DevOps organizations, 8+ overall years hands-on DevOps experience with CI/CD focus, familiarity with Linux OS, strong knowledge of Jenkins or similar, Git SCM administration, and proficiency in Python, Java, Groovy or related languages.

What are the preferred qualifications for this position?

Preferred qualifications include solid understanding of Linux system administration, demonstrated history of building robust and scalable CI/CD infrastructures, and familiarity with containerization tools like Docker and Kubernetes.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What does the team structure look like for this role?

You will supervise a team of 4+ experienced and highly motivated DevOps engineers.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free