Senior DevOps and Build Systems Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Masters degree or equivalent experience
3+ years of experience in Computer Science, computer architecture, or related field
Ability to work in a fast-paced, agile team environment
Excellent Bash, CI/CD, Python programming and software design skills, including debugging, performance analysis, and test design
Experience with CMake
Background with Security best practices for releasing libraries
Experience in administering, monitoring, and deploying systems and services on GitHub and cloud platforms
Support other technical teams in monitoring operating efficiencies of the platform, and responding as needs arise
Highly skilled in Kubernetes and Docker/containerd
Automation expert with hands-on skills in frameworks like Ansible & Terraform
Experience in AWS, Azure or GCP

Responsibilities

Building and maintaining infrastructure from first principles needed to deliver TensorRT LLM
Maintain CI/CD pipelines to automate the build, test, and deployment process and build improvements on the bottlenecks
Managing tools and enabling automations for redundant manual workflows via Github Actions, Gitlab, Terraform, etc
Enable performing scans and handling of security CVEs for infrastructure components
Improve the modularity of our build systems using CMake
Use AI to help build automated triaging workflows
Extensive collaboration with cross-functional teams to integrate pipelines from deep learning frameworks and components is essential to ensuring seamless deployment and inference of deep learning models on our platform

Skills

Python

Bash

CMake

Terraform

GitHub Actions

Gitlab

CI/CD

Security

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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