Software Configuration Management Engineer – Hardware
NVIDIA · Posted Oct 30
Graphics processing units, artificial intelligence platforms, accelerated computing, and data center solutions
Get a personal compatibility score
Add a resume for personal matches
About the role
NVIDIA's Software Configuration Management Tools and Infrastructure group operates a very large, globally distributed GitLab environment supporting tens of thousands of engineers and massive repositories. The team focuses on SCM tools, automation, and infrastructure reliability at scale. This role will design and code automation, administer and scale GitLab, and deploy improvements across hundreds of systems worldwide.
What you will do
- Responsible for the full SCM environment including application, OS, and server hardware components, developing the continued automation and innovation needed for our large environment
- Create new solutions to improve the reliability and performance of our ever-growing infrastructure, and work with automated orchestration tools to deploy those improvements to hundreds of systems worldwide
- Be part of a global team and will evaluate technology alternatives, work closely with other project members to specify solutions, craft schedules, and lead ongoing enhancements and support
- Lead or contribute to GitLab upgrades and migrations, architectural reviews and design docs, root cause analysis and systemic fixes
- Learn and greatly improve the daily productivity of the world’s top chip designers and software engineers
Skills used in this role
What the employer is looking for
- MS (preferred) or BS in Computer Science (or equivalent experience) or a related field with at least 3+ years of experience
- Deep understanding of SCM processes and large-scale, multi-site GitLab environments (experience with other SCM tools such as Perforce, Subversion, or ClearCase is a plus).
- You've configured/deployed Continuous Integration (CI) and Continuous Deployment (CD) systems in your past experience
- Excellent interpreted language skills highly desired – Object Oriented Perl or Python preferred and Strong software engineering process skills required
- Strong skills in scripting and object-oriented languages such as Python or Ruby, with solid software engineering practices and familiarity with design patterns.
- Hands-on experience with relational databases (PostgreSQL preferred)
- Experience with DevOps or system administration on Linux systems required (Rocky Linux 8, CentOS/RHEL, and Ubuntu preferred)
- Strong experience with automation required, Ansible or Puppet preferred and Excellent
- interpersonal skills, including written and verbal communication
- You are comfortable and enjoy working with dynamic and ever evolving environments
Preferred qualifications
- Meticulous and proactive problem-solver with a positive, can-do attitude.
- Demonstrate use of out-of-box thinking for creative solutions to highly sticky problems
Benefits and support
- Compensation and benefits are detailed in the job posting
About NVIDIA
NVIDIA Corporation is a multinational technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Pioneering accelerated computing, the company has become a driving engine of modern artificial intelligence, deep learning, and data center infrastructure.
- Industry
- Semiconductors
- Company size
- 42000+ employees
- Founded
- April 5, 1993
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $5M raised
Leadership
Founder, President and Chief Executive Officer
Executive Vice President and Chief Financial Officer
Founder and NVIDIA Fellow
Executive Vice President, Worldwide Field Operations
Recent coverage
NVIDIA Newsroom
NVIDIA and Supply Chain Partners Expand Capacity to Accelerate AI Infrastructure Buildout2026-10-21
NVIDIA Newsroom
NVIDIA Unveils Minerva to Bring End-to-End Observability for AI Factories2026-10-22
TheStreet
Nvidia's plan to build data centers in weeks, not months2026-10-22