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through REST APIs, microservices architectures, containerization (Docker), and deployment within cloud environments (AWS, Azure, GCP) or high-performance computing (HPC) systems. Collaboration and
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map data to enable real-time operation on bandwidth- and computation-constrained platforms optimize the distribution of computation between onboard, edge, and cloud instances to balance latency
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of education and experience. Experience supporting research computing projects across diverse domains, including data science, analytics, and computational workflows. Familiarity with cloud platforms and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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-looking technology that enables the campus community to thrive. This role offers the opportunity to work with modern cloud-based platforms, collaborate across teams, and contribute to an environment
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 16-Jan-26 Location: Oakland, California Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise applications. Cloud Computing: Experience deploying and scaling AI systems in cloud
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Computer Science, Information Technology, Business Administration, or a related field. Experience with higher education data systems and processes. Familiarity with cloud-based data warehousing solutions (e.g., AWS
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REQUIRED QUALIFICATIONS: Bachelor?s or Associate?s degree in Computer Science, Information Technology, Information Systems, or related field Minimum of 1-3 years of experience in database administration
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or Cloud computing and machine learning techniques? You stand out from your peers because of strong commitment and independent work? You are a team player and communicative (excellent oral and written