Software Configuration Management Engineer – Hardware

Reposted 3 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design, automate, and operate large-scale GitLab-based SCM environments. Build tooling and orchestration to deploy improvements across hundreds of systems, lead upgrades and migrations, perform architectural reviews and root-cause analysis, and improve reliability and performance for globally distributed engineering teams.
Summary Generated by Built In

For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from massive amounts of data - has shown to be deeply effective at solving some of the most complex problems in everyday life. NVIDIA runs a very large GitLab environment, supporting 10s of thousands of engineers and massive repositories across the globe. Our Software Configuration Management (SCM) Tools and Infrastructure group is looking for a top SCM architect. You will tackle the challenges that we face with operating at scale to produce a best-in-industry solution and enable us to continue to provide unprecedented performance and reliability for our users. You will take on the challenges that come with operating and scaling our ever-growing GitLab deployment. In this role, you will design and code processes and automation tools to improve productivity managing and administering the SCM systems and applications used by our globally distributed engineering teams.

What You’ll Be Doing:

  • 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

What We Need to See:

  • 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

Ways to Stand Out from the Crowd:

  • 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
     

#LI-Hybrid

Skills Required

  • BS in Computer Science or equivalent experience
  • MS in Computer Science
  • 3+ years of relevant experience
  • Deep understanding of SCM processes and large-scale, multi-site GitLab environments
  • Experience with Perforce, Subversion, or ClearCase
  • Configured and deployed CI/CD systems
  • Strong skills in scripting and object-oriented languages such as Python or Ruby
  • Object-oriented Perl or Python experience
  • Hands-on experience with relational databases (PostgreSQL preferred)
  • DevOps or system administration on Linux systems (Rocky Linux 8, CentOS/RHEL, Ubuntu preferred)
  • Strong experience with automation (Ansible or Puppet preferred)
  • Strong software engineering process skills and familiarity with design patterns
  • Excellent written and verbal communication / interpersonal skills
  • Ability to work in dynamic and evolving environments

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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