NVIDIA is looking for a hardworking Sr. Systems Software Engineer to work on platform software based on open-source container runtimes and Kubernetes technologies. We expect you to have strong programming skills, a deep understanding of designing and building software, especially related to GO and C, experience with Systems Software and Distributed systems, as well as excellent communication and planning skills. We also welcome out-of-the-box problem solvers who can provide new ideas while strong at completing tasks. Expect to be constantly challenged, improving and evolving for the better. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. If you're creative, passionate about what you do, autonomous and love having fun, we want to hear from you!What you will be doing:You'll be part of a small and dynamic team that explores innovative ways to make GPU and DPU accelerated applications easier to develop, deploy, and monitor.Work on enabling GPUs and DPUs as first-class resources in container orchestrators such as Kubernetes.This is an excellent opportunity to join the core group working on Cloud Native technologies enabling NVIDIA accelerators in the k8s environment.Work with engineering teams across all of NVIDIA to ensure your software integrates seamlessly up and down the stack.Efficiently multitasking on different tracks to efficiently address evolving priorities.What we need to see:BS/MS in Computer Science, or related field (or equivalent experience)8+ years of relevant work experience.Expert level knowledge in a systems programming language (Go, C) and solid understanding of Data Structures and Algorithms.Strong understanding of Container Orchestration Systems (K8s) and Container Technology.Expert knowledge and experience working with System internals of Unix/Unix-like kernels such as Linux.Strong background in Cloud Computing and Distributed Software design and development.Understanding of performance, security and reliability in complex distributed systems.Ways to stand out from the crowd:Strong experience with the Go programming language.Real world strong hands on experience with Containers and Kubernetes.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 Artificial Intelligence — 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, we are increasingly known as “the AI computing company”. We are looking to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you!The base salary range is $176,000 - $414,000. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits.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.
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