We are looking for a systems software engineer to help craft, build, and scale new distributed system infrastructure powered by Kubernetes, OpenStack and other open-source software. As NVIDIA expands its software platform from graphics, gaming, and artificial intelligence to healthcare, Omniverse, and autonomous vehicles, its demand for scalable and heterogeneous distributed systems infrastructure grows. We are passionate about the opportunity to craft the future of the NVIDIA software platform! We want to develop infrastructure that scales to run millions of requests and jobs on thousands of servers efficiently, optimally, and securely. We also want to support heterogeneous servers with different combinations of operating systems (e.g., Windows, Linux, Android), hardware platforms (e.g., x86, ARM), and accelerators (e.g., GPU, Tegra).
What you will be doing:
Design, build, test, deploy, and maintain software infrastructure APIs and services.
Collaborate optimally with peers and partners through brainstorming and review sessions to produce high-quality design, code, and documentation.
Implement and follow best practices of distributed systems 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.
2+ years of experience with software development in one or more programming languages.
2+ years of experience with data structures and algorithms.
Ways to stand out from the crowd:
Experience building large-scale infrastructure.
Background with container technologies such as Docker and Kubernetes.
Experience with DevOps tools such as Ansible, Terraform, and Jenkins.
Knowledge of web frameworks such as Spring Boot.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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