DevOps Engineer - Compilers at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Master’s degree in computer science or computer engineering or equivalent experience
3+ years' work experience in software development or DevOps organization
Proficiency in Docker, Jenkins (Groovy), GitLab CI/CD, Artifactory, Ansible
Proficiency in version control systems (e.g. Perforce, Git)
Experience using GNU Make, CMake, Bazel, or other build tools
Programming skills: Python, Perl, or Bash
Excellent problem-solving and critical thinking abilities
Experience writing and maintaining complex software build systems
Prior experience of LLVM build (advantage)
Ways to stand out
Programming skills: C/C++
Compiler Domain Expertise: Understanding of how compilers work and how compilers are implemented
Experience with distributed build systems
Strong interests towards groundbreaking technologies and ability to take initiatives and drive them across multiple functional teams

Responsibilities

Improve automated build pipelines and processes of compiler system software for NVIDIA processors
Develop DevOps tools and workflows using NVIDIA proprietary and other innovative technologies to help build better CI/CD workflows
Craft efficiency and usability improvements across NVIDIA proprietary products that will help streamline various release workflows across NVIDIA
Be in the critical path supporting thousands of developers as well as intimately understanding the values of predictability, automation and reliability
Propose enhancements based on safety, compliance and other requirements

Skills

Docker

Jenkins

Groovy

GitLab CI/CD

Artifactory

Ansible

Git

CI/CD

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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