DevOps and Automation Engineer at NVIDIA

Bengaluru, Karnataka, India

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

High-Performance Computing, Artificial Intelligence, Semiconductors, BiotechnologyIndustries

Requirements

Candidates should possess a BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent hands-on experience, along with over 5 years of experience managing infrastructure or systems in high-performance or distributed environments. Expertise in scripting and automation using Python, Ansible, and Shell is required, as well as practical experience with modern CI/CD tools and infrastructure-as-code frameworks. A strong understanding of Linux, networking, and distributed system design is necessary, along with the ability to break down monolithic systems into scalable, loosely coupled components. Strong cross-functional communication and collaboration skills are also essential. Experience with cluster management tools like Slurm, familiarity with NVIDIA DGX systems and GPU-based clusters, and knowledge of observability tools such as Prometheus and Grafana are considered advantageous.

Responsibilities

The DevOps and Automation Engineer will build and maintain CI/CD pipelines for fast, reliable integration and deployment across complex systems. They will design tools and automation workflows to simplify software releases, manage dependencies, and increase reliability, while accelerating development by modularizing systems and enabling independent release cycles. Responsibilities include building infrastructure automation for provisioning, scaling, and maintaining GPU clusters, automating software updates, and monitoring system health to improve reliability and availability. The role involves troubleshooting and resolving operational issues across distributed infrastructure, managing firmware and software rollouts to minimize downtime and ensure consistency, and collaborating with global engineering teams to align infrastructure tools and support project achievements.

Skills

DevOps

Automation

CI/CD

Python

Ansible

Shell Scripting

Infrastructure as Code

Linux

Networking

Distributed Systems

GPU Clusters

NVLink

InfiniBand

HPC

AI Workloads

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