Are you passionate about building robust automation pipelines and modernizing software delivery processes at scale?
We are seeking System Software Engineers to join Kitmaker, our team responsible for getting NVIDIA's software out the door. As NVIDIA scales its AI computing and accelerated software portfolio, efficient and reliable release automation becomes pivotal to our success. Kitmaker oversees installer creation and release for many business areas of NVIDIA—from CUDA to our expanding Python packaging ecosystem—and we're investing heavily in modernizing our processes through innovative CI/CD strategies and intelligent automation. If you enjoy not just building automation but reimagining how software delivery should work, you'll thrive on our team!
What you'll be doing:
Develop, implement, and maintain release automation pipelines using GitLab CI/CD, working closely with product teams across NVIDIA to understand their unique deployment requirements and translate them into scalable, reusable automation solutions
Evaluate existing processes with a critical eye, identify modernization opportunities, and own the design and implementation of process improvements that improve efficiency, reliability, and developer experience across the organization
Support and extend our conda-forge release automation infrastructure for NVIDIA's Python packages, collaborating with both internal teams and the open-source community to ensure reliable delivery of Python software at scale
Partner with other release automation teams to integrate our pipelines into their workflows, creating a cohesive and consistent software delivery experience that spans multiple product lines and technologies
Monitor pipeline health, provide actionable metrics, and continuously iterate on automation strategies to stay ahead of NVIDIA's growing scale and complexity
What we need to see:
BS/MS degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 8+ years of experience in software delivery, release automation, DevOps, or related areas
Strong expertise in CI/CD pipeline development with GitLab or similar platforms
Proven track record to identify inefficiencies in existing solutions and design and implement practical improvement strategies
Experience with package management systems such as RPM, Debian, Python wheels, or similar technologies
Proficiency in Python or other scripting languages for building automation tools
Expertise in source control systems, particularly Git
Demonstrated ability to abstract technical complexity into clean, maintainable automation
Strong interpersonal and communication skills with the ability to work independently across multiple teams with minimal direction
Ways to stand out from the crowd:
Experience with conda-forge, PyPI, or other open-source package distribution ecosystems. Contributions to open-source Python packaging projects or active involvement in packaging communities
Track record of modernizing legacy infrastructure or driving organizational process improvements. Deep expertise in GitLab CI/CD with a Configuration-as-Code approach
Experience with artifact management systems like Artifactory. Detailed policy enforcement and governance experience in software delivery contexts. Understanding of containerization technologies (Docker, Kubernetes) and virtualization platforms
NVIDIA’s deep learning platforms have made major impact to various fields is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate, hard-working and creative people to help us take on more of these unique opportunities in deep learning cloud solutions. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Similar Jobs
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.”
