Do you want to be part of the team that brings new Artificial Intelligence (AI) technology to use in the field? We are looking for a networking and virtualization savvy Solution Architect to join the NVIDIA SA team focused on supporting accelerated computing workloads including Machine Learning, Deep Learning, Data Analytics and Cyber Security on virtualized platforms. If you are passionate about advanced 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 design and build enterprise solutions using our newest technology. As an engineer on the Solution Architecture team, you will work closely with customers and partners to tackle 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 data workflows and networking solutions demonstrating the NVIDIA AI Enterprise (NVAIE) software offering with virtualized networking. You will tackle customer problems by building systems using the newest tools in software defined networking, cyber security, DevOps, orchestration, Kubernetes, and other workflow tools.Document and teach others what you know and have learned through delivering demos and developing POCs. This can vary from building hands-on training, to writing papers, developer blogs and instructing.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.Above all, 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 equivalent experience) or MS degree in Engineering, Computer Science, Data Science, or similar.3+ years of relevant experienceIdeal candidates will have an established track record working with DevOps, virtualization and cluster management tools; including Docker/Containers, Kubernetes, Ansible, VMware/TKG.Expertise with dense datacenter design including compute, storage, and networking. Familiarity with Cloud and hybrid cloud architectures.Experience with L2-L7 networking protocol stack.Strong analytical and problem-solving skills.Ability to multitask efficiently in a dynamic environment.Clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams.Successful candidates will be able to demonstrate a strong desire to share knowledge with clients, partners and co-workers.Ways to stand out from the crowd:Strong systems engineering, coding, and debugging skills. Including experience with Python, Ansible, Go, C/C++, Bash, Linux and VMware.Demonstrate expertise through projects or Open Source contributions in DPDK, IP Sec, HPC, Cloud Native Projects, Kubernetes, Slurm for enabling GPU workloads.Experience in supporting Deep Learning and Machine Learning infrastructures; experience with networking technologies as well as understanding deep learning frameworks such as TensorFlow or PyTorch.Show a willingness and ability to dig into unfamiliar territories to solve complex problems through examples in previous work.The base salary range is $112,000 - $224,250. 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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