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AWS cloud and HPC environments, including large-scale model training, profiling, debugging, scaling, cost/performance tuning, reliability, CI/testing, packaging, deployment, reproducibility engineering
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, United States of America [map ] Subject Areas: Computer Engineering / Cloud Computing , Cybersecurity , Software Biomedical Sciences / biochemistry , cancer , development , genetics , genomics , infectious disease , RNA
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Cloud—utilizing the platform to nurture leads, deliver program applications, and engage Executive Education alumni, past participants, and key clients. This role will focus on maintaining and enhancing
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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI
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negotiation, and technology lifecycle management. Systems, Infrastructure, and Security Provide executive oversight of HGSE’s systems and infrastructure, including cloud services, identity and access management
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and cloud environments for hundreds of laboratories worldwide. Our Capsule Software Execution Environment (“Capsules”) isolates every application with its exact dependencies, providing zero
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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI
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direction of the Director of Research Computing and Data Services, and in close collaboration with LRS research enablement staff. You will partner with Harvard’s cloud vendors, the HKS research community, HKS
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Bachelor's degree Additional Qualifications and Skills: Knowledge of and experience working with a CRM (Salesforce preferred) and an email/messaging platform (Marketing Cloud preferred). Exceptional written
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with PyTorch, required to have experience developing code with a team through collaborative version control Experience working with large datasets and cloud computing environments. Solid background in