Senior DevOps Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

BSc or above in Computer Science, Computer Engineering, or a related field, or equivalent experience
5+ overall years of hands-on experience in DevOps or Site Reliability Engineering roles
Proven expertise in designing, building, and maintaining CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions, or similar)
Deep knowledge of cloud platforms (AWS, preferably), On-Prem deployment, container orchestration (Kubernetes, Docker), and infrastructure as code
Strong scripting and automation skills (Python, Bash, or similar)
Experience with monitoring, logging, and observability tools (Prometheus, Grafana, ELK, etc.)
Proven understanding of security standard methodologies in cloud & on-prem DevOps environments
Excellent communication and interpersonal skills, with a track record of multi-functional collaboration
Experience supporting large-scale, high-availability production systems

Responsibilities

Architect and optimize CI/CD pipelines for large-scale, high-availability simulation services, ensuring fast, reliable, and secure deployments
Drive automation across infrastructure provisioning, configuration management, and monitoring to support rapid development cycles and minimize manual intervention
Collaborate with software engineering and product teams to design and implement scalable, cloud-native solutions that meet evolving business needs
Promote standard processes in infrastructure as code, containerization, and cloud security, ensuring compliance and resilience across environments
Monitor, troubleshoot, and resolve infrastructure and deployment issues, maximizing uptime and ensuring efficient performance for internal and external customers
Evaluate and integrate new tools and technologies to continually enhance the reliability, observability, and efficiency of our DevOps ecosystem
Participate in incident response and post-mortem processes, driving root cause analysis and systemic improvements

Skills

CI/CD

DevOps

SRE

Infrastructure as Code

Containerization

Cloud Security

Automation

Configuration Management

Monitoring

Troubleshooting

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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