Senior DevOps Engineer at NVIDIA

Santa Clara, California, United States

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$150,000 – $220,000Compensation

Senior (5 to 8 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Information Technology, Software DevelopmentIndustries

Requirements

Candidates should possess Kubernetes domain expertise with extensive experience building scalable, resilient platforms in both public and private cloud environments, including experience with architecting and implementing the overall platform, administration & configuration, orchestration, security, and monitoring ecosystem. They should have a strong programming background in Python or similar scripting languages and demonstrate excellent problem-solving, communication, and teamwork skills.

Responsibilities

The Senior DevOps Engineer will craft the overall architecture for integrating coding assistance & Trustworthy AI tools into the existing infrastructure, ensuring alignment with reliable, scalable, and secure standard methodologies. They will design for scalability, implement robust monitoring and observability, integrate security best practices, and collaborate with software engineers, product teams, and security teams to align coding assistance/Trustworthy AI tool’s capabilities with organizational goals and developer needs. Additionally, they will maintain comprehensive documentation and establish feedback mechanisms for continuous improvement.

Skills

Kubernetes

Python

Cloud Environments

Scripting

Monitoring

Observability

Security

Architecture

Documentation

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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