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, devops experience, 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.
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.
Automating and optimizing build, test, integration, and release processes for cloud native.
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 meaningful 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.
Automation experience with hands-on skills in frameworks like Ansible & Terraform.
Strong experience in setting up, maintaining, and automating continuous integration systems.
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.
Strong background with Gitlab, Jenkins and/or other CI/CD systems.
Real world strong hands on experience with Containers and Kubernetes.
NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most resourceful and dedicated people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
The base salary range is 184,000 USD - 356,500 USD. 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 accepts applications on an ongoing basis.
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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.”
