The NVIDIA GPU Cloud (NGC) organization is looking for passionate software engineers to partner closely with our internal customers and assist them in onboarding to our platform. This partnership requires you to gain a deep understanding of the customer's needs, how their application(s) work, and assist them in developing best practices enabling success in a multi-tenant cloud environment. The information you provide will help shape our platform to better the success of our customers, both internally and externally. We expect you to have expert knowledge with cloud-based deployments across compute, storage, and networking environments. Along with this, you need a strong understanding of application portability between 1st and 3rd party clouds and what it takes to simplify application requirements in order to do this well. You should also be familiar with open source technologies that can assist with cloud deployments and recommend approaches to the larger engineering teams in order to expedite implementation for our customers. What will you be doing:What you will be doing:Partner with multiple internal teams to gather requirements, give feedback to engineering teams, and develop solutions to aid in their successInform partner teams of standard methodologies for cloud based solutionsGain deep understanding of how NVIDIA develops across multiple verticals (autonomous vehicles, chip manufacturing, HW design, AI, etc.)Present to internal stakeholders and NVIDIA leadership on roadmaps, vision, & demosSpeak at internal/external events about our public cloudParticipate in open source communities of software we use and buildWhat we need to see:BS/MS degree in Computer science or related areas (or equivalent experience)8+ yrs of experience with designing and building distributed software systemsDemonstrated ability to write code in a mainstream systems programming language such as Golang, Java, C, C++, Python, or RustStrong ability to design and implement maintainable APIs for consumersExperience with Kubernetes and/or distributed task schedulingStrong background of Infrastructure, Networking, Storage, and DevOps scripting/toolingUnderstanding of data storage technologies (databases, file, block, blob)Demonstrated ability to reach cross-functional consensus without all the detailsWays to stand out from the crowd:Experience in a Hyperscale Cloud Service Provider (public facing or not)Strong background in optimization of AI workloadsExperienced, persuasive and effective presentation skills (written and verbal)Demonstrated skills in leadership, communication, coaching, analysis, problem solving and short/long term planningExcellent interpersonal and organizational skills and ability to handle diverse situations and work with internal customers and make them successfulNVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence.NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're a creative, curious, and driven technical leader, we want to hear from you!The base salary range is 180,000 USD - 339,250 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. 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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