NVIDIA is looking for a Solutions Architect to work with our Global Systems Integrator partners and enable them with our portfolio of GPU Accelerated Computing solutions including domains of Artificial Intelligence (ML/DL), comprehensive multi-cloud, hybrid and on-prem architectures and technologies.We need a passionate, hard-working, and creative individual who has the skills and aim to work in a fast evolving technological environment that is always on the cutting edge of AI and Accelerated Computing. This indvidual is self driven, excellent in communication and collaboration, stays on top of tasks, mission focused and outcome oriented. Duties will include creating new value based relationships with GSI partners, working along side partner managers, other teams at NVIDIA and influencing end to end solutions development with our GSI partners to promote the use of NVIDIA AI software, infrastructure, services and help create the go-to-market.What you'll be doing:Creating or running Proof of Concept and Demos that require presentation skills, explanation of complex topics, occasionally writing Python code to execute data pipelines and train ML/DL models and deploy on container based orchestrators. A considerable part of the day-to-day job is keeping up to date on the state of the art in the production Deep Learning and Machine Learning ecosystem. You'll be called on to help architect and scale high-performance, distributed AI deployments that are built on the latest NVIDIA GPU supercomputers.Document what you know, and guide others. This can vary from building targeted training for partners and other Solutions Architects to writing whitepapers, blogs, and wiki articles, to work through challenging problems with a partner on a whiteboard.Answer questions and provide mentorship. Work with Partner Business Managers to assist partners and customers on their mission-critical projects. You will help them build their GPU enabled Accelerated Compute datacenters and get the most out of their investment.We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and do what it takes to make our partners successful.Above all, you will be the person that partners call on when they need to get technical in crafting AI solutions for customers using NVIDIA technology. Backed up by the other Solution Architects, NVIDIA Engineering, and the whole of NVIDIA, you'll get to be the face and brains of NVIDIA that our partners will be relying on.What we need to see:BS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience). 5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU and CUDA experience extremely helpful.Experience working with DevOps, including but not limited to Docker/Containers, Kubernetes, and Data Center deployments. Deep understanding of dense datacenter design including compute, storage, and networking. Ability to multitask effectively in a dynamic environment. Strong analytical and problem-solving skills. Clear written and oral communication skills with the ability to effectively collaborate with management and engineering. Have a strong desire to share knowledge with clients, partners and co-workers.Ways to stand out from the crowd:Experience developing with ML/DL frameworks and MLOps ecosystem of partners and solutions in the cloud and on-premExperience with cloud based solution designing, APIs and Microservices, orchestration platforms, storage solutions and data migration techniquesExperience or good knowledge of server architectures, PCIe topologies, Infinibadand and other networking technologies and Operating systemsHave a willingness and ability to dig into unfamiliar territories to tackle complex problems and be a great listener.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 individuals in the world working for us. If you're creative and autonomous, we want to hear from you!The base salary range is $144,000 - $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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