Solutions Architect, CSP Networking Solutions

Do you want to be part of a team that brings new Artificial Intelligence (AI) technology to use by one of the largest cloud providers? We are looking for a networking savvy Solution Architect to join the NVIDIA SA team passionate about supporting accelerated computing networking solutions for Machine Learning, Deep Learning and Data Analytics workloads on virtualized platforms. If you are passionate about sophisticated and innovative networking technologies and how it can be applied to the real world, we should talk. NVIDIA is the world leader in accelerated computing and is looking for solution architects like you to craft and build enterprise networking solutions using our newest technology. As an engineer on the Solution Architecture team, you will work closely with customers and partners to address hard problems in the industry and to help them deploy and operationalize AI solutions at scale. What you'll be doing: A huge part of the day-to-day job is driving adoption for end-to-end networking solutions demonstrating the NVIDIA AI Enterprise (NVAIE) software and system offering. You will address customer Networking needs by building systems using the newest networking software and solutions, DevOps, orchestration, Kubernetes, and other workflow tools. Document and guide others what you know and have learned through delivering demos and developing Prof Of Concepts. This can vary from building hands-on training, to writing papers, developer blogs. We make heavy use of conferencing tools, travel may be required for this role, as we work together with the customer to scope and deliver projects. You will be the person that helps bring NVIDIA technology to life in the Enterprise. You are empowered and given all the tools to achieve this with the backing of all of NVIDIA, other Solution Architects and our Engineering teams. You'll get to be the face and brains of NVIDIA that our customers will rely on. What we need to see: BS or MS degree in Engineering, Computer Science, Data Science, or equivalent experience. 3 years of relevant working experience Expertise with dense datacenter design including compute, storage, and networking. Familiarity with Cloud and hybrid cloud Network and Ethernet switches architectures. Experience with Ethernet L2-L7 networking protocol stack. Ideal candidates will have an established track record working with DevOps, virtualization and HPC cluster management tools; including Docker/Containers, Kubernetes, Ansible, VMware/TKG. Strong analytical and problem-solving skills. Ability to multitask efficiently in a multifaceted environment. Clear written and oral communications skills with the ability to efficiently collaborate with executives and engineering teams. Ways to stand out from the crowd: Deep understanding and hands on experience with Ethernet Switch software solution and data center production network. Strong systems engineering, coding, and debugging skills. Including experience with Python, Ansible, Go, C/C++, Bash, Linux and Windows. Demonstrate expertise through developed projects or Open Source contributions in DPDK, IP Sec, HPC, Cloud Native Projects, Kubernetes, Slurm for enabling GPU workloads. Experience in supporting Deep Learning, Machine Learning or HPC networking infrastructures; experience with networking technologies as well as understanding deep learning frameworks such as TensorFlow or PyTorch. Show the ability to dig into unfamiliar territories to solve sophisticated problems through examples in previous work. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developin