Senior Systems Software Engineer - CI/CD Infrastructure for Open-Source Accelerated Computing Software
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Join our team and discover how you can build a lasting impact on the world.
We are looking for a senior systems software engineer to advance the Continuous Integration and Delivery (CI/CD) infrastructure that powers many accelerated open-source software. We are passionate about the opportunity to shape the future of secure and scalable CI/CD infrastructure for many open-source AI and accelerated computing software on the NVIDIA platform!
What you will be doing:
Design, build, extend, test, deploy, and maintain a centralized CI/CD infrastructure for many open-source projects.
Collaborate effectively with peers and partners through brainstorming and review sessions to produce high-quality design, code, and documentation.
Follow guidelines of CI/CD for reliability, performance, monitoring, security, compliance, interoperability, usability, correctness, consistency, simplicity, etc.
Support other NVIDIA teams in using this foundational infrastructure.
Debug production issues across services and multiple levels of the stack.
What we need to see:
Bachelor’s degree or equivalent experience and 5 years of experience with software engineering in several programming languages (e.g., Python, Bash, Go), and with data structures/algorithms.
Experience with CI/CD technologies such as GitHub Actions and GitLab Runners.
Experience with open source software development (workflows, tools, guidelines).
Practical knowledge of configuration management tools such as Ansible and Terraform.
Familiarity with security patterns, e.g., authentication protocols (e.g. OAuth 2.0, OIDC), authorization frameworks, and secret management (HashiCorp Vault).
Hands-on experience with Kubernetes, virtualization technologies (containers and virtual machines).
Solid understanding of networking concepts (TCP/IP, DNS, Load Balancing).
Excellent problem-solving and communication skills.
Ways to stand out from the crowd:
Expertise with Agentic AI frameworks, patterns, and tools.
Experience developing and operating centralized and large-scale automated build, test, and deployment platforms.
Familiarity with compliance and security requirements in cloud and on-prem environments.
Experience with NVIDIA platform (hardware and software).
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.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 an inclusive 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.Skills Required
- Bachelor's degree or equivalent experience
- 5 years of software engineering experience with multiple programming languages and data structures/algorithms
- Experience with CI/CD technologies such as GitHub Actions and GitLab Runners
- Experience with open source software development workflows, tools, and guidelines
- Practical knowledge of configuration management tools such as Ansible and Terraform
- Familiarity with authentication/authorization protocols (OAuth 2.0, OIDC) and secret management (HashiCorp Vault)
- Hands-on experience with Kubernetes and virtualization technologies (containers and virtual machines)
- Solid understanding of networking concepts (TCP/IP, DNS, Load Balancing)
- Excellent problem-solving and communication skills
- Expertise with Agentic AI frameworks, patterns, and tools
- Experience developing and operating centralized large-scale automated build, test, and deployment platforms
- Familiarity with compliance and security requirements in cloud and on-prem environments
- Experience with NVIDIA platform (hardware and software)
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.
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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.
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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.
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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.
NVIDIA Insights
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.”
