• Partner with researchers and scientists to develop a keen understanding of their data challenges and scientific goals • Staying up on the state of the art in Generative AI and data engineering for scientific applications • Architect and implement high-performance ETL (Extract, Transform, Load) pipelines and data curation workflows • Be an industry leader with a vision of integrating NVIDIA technology into the end-to-end data lifecycle • Building, optimizing, and deploying complex machine learning and deep learning training workflows, ensuring data efficiency and model performance at scale

• Partner with researchers and scientists to develop a keen understanding of their goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs. • Staying up on the state of the art in the production AI and HPC for scientific applications while helping architect and scale high-performance, distributed, AI HPC deployments built on the latest NVIDIA GPU supercomputers. • Be an industry leader with a vision of integrating NVIDIA technology into AI and HPC architectures for advanced applications in scientific computing. • Building, running, and deploying large scale workloads on NVIDIA Supercomputers.

• The Solutions Architect - Azure will provide customer-facing services to our customers to help them define and oversee cloud-based initiatives. • Responsible for helping strategize, architect, and implement various solutions that support SHI customer’s move to the Public Cloud. • Design and implement enterprise infrastructure and platforms required for cloud computing, analyzing system requirements and ensuring that systems are securely integrated with current applications. • Lead the development of SOWs, working closely with various teams to ensure alignment with client needs and business objectives. • Collaborate with SHI sales teams, including front line sellers and customer success managers, to ensure a unified approach to service delivery and client engagement.

• Own the technical relationship with prospects through pre‑sales, and efficiently manage towards a technical win • Post‑sales support when needed • Demo the Coder platform from both the developer and administrator personas • Install Coder on cloud and on‑prem Kubernetes or VM infrastructure • Run proofs-of-concept that prove Coder’s value and accelerate deals • Evolve into a subject‑matter expert on Cloud Development Environments and their business impact • Serve as the customer’s voice, routing insights to Engineering and Product • Log feature requests and issues in our public/private Git repositories • Troubleshoot Coder deployments, networking, and Kubernetes components • Contribute pull requests to Coder’s documentation