Full-stack Engineer

• Building reproducible test matrices across GPU SKUs, multi-node scale, and scientific parameters relevant to the biology space
• Creating integration and performance test harnesses for large models
• Productionizing AI algorithms, delivering production-quality models, libraries, and SDKs, while ensuring observability, reproducibility, and versioning
• Developing and deploying distributed learning systems and tools to synchronize and debug workloads across multiple GPUs
• Collaborating with research and engineering teams across all of NVIDIA to transfer research to products and services, and upstreaming to the open-source ecosystem
• Diving into whatever is needed—infra, glue code, tests, or docs—to unblock the team
• Mentoring emerging engineers

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