DevOps Engineer
SGNLSalary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Software Development, Cloud ComputingIndustries
Requirements
Candidates should possess a Bachelor’s degree in Computer Science, Electronics Engineering, or Electrical Engineering, or an equivalent degree, and a minimum of three years of relevant work experience in DevOps, with a focus on CI/CD, automation, and infrastructure management. Strong programming and scripting skills in Python/C++/TCL are desired, alongside software engineering skills including software design, algorithms, and quality assurance. Proficiency with configuration management tools like Ansible, Puppet, or Chef, containerization technologies such as Docker and Kubernetes, and cloud platforms like AWS, Azure, or GCP are required. Familiarity with GitLab pipelines, Artifactory, and Jenkins is also necessary, as is a good understanding of build frameworks like CMake and Meson.
Responsibilities
As a DevOps Engineer, DFX Software at NVIDIA, you will be responsible for designing and managing the DevOps workflow for the software team, providing essential software, hardware, and lab support to ensure smooth operations and resolve critical issues, architecting highly automated and customizable design flows using software engineering and AI Code Generation with modular design and object-oriented techniques, supporting the development of tools using C++/Python/TCL, working cross-functionally with DFT Methodology, Implementation, and design teams on important DFT development tasks, implementing and maintaining CI/CD pipelines for DevOps processes, managing cloud infrastructure and on-premise systems for scalable and reliable deployment, troubleshooting and resolving system, network, and application issues, and providing lab software and hardware support.
Skills
Ansible
Puppet
Chef
Docker
Kubernetes
AWS
Azure
GCP
GitLab
Artifactory
Jenkins
CMake
Meson
Python
C++
TCL
Software Design
Algorithms
Quality Assurance
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.
Key Metrics
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees