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Full-Time Positions

 

  • Data Movement Specialist # 2024-19602
    To apply, visit Princeton University Careers and search for the Req. 2024-19602 under staff positions.

    The Data Movement Specialist will coordinate data movement in support of the TigerData service, a comprehensive set of data storage and management tools and services that provides storage capacity, reliability, functionality, and performance to campus. The Data Movement Specialist will partner with vendors and colleagues across campus to implement data movement workflows between tiers of heterogeneous storage systems. You will become an expert at navigating the features and functionality of MediaFlux and how best to connect TigerData storage systems with other campus storage used for high performance computing and/or analysis. You are also responsible for identifying best practices in data movement, troubleshooting system-level issues, as well as partnering with technical staff to ensure the data movement process completes and validates effectively. Working closely with IT colleagues, the Library, the Office of the Dean for Research, and technical staff in University departments, you also provide timely and creative support for long term data storage and retrieval for research computing.

  • Senior Manager, TigerData Technical Service # 2024-19627
    To apply, visit Princeton University Careers and search for the Req. 2024-19627 under staff positions.

    The Senior Manager, TigerData Technical Service will guide the implementation and support of the TigerData service, a comprehensive set of data storage and management tools and services that provides storage capacity, reliability, functionality, and performance to campus. Working with TigerData leadership and critical partners across campus, you will implement the strategic roadmap and service model for TigerData. You will manage the rollout of TigerData to adopters across campus through outreach, provide technical guidance and training, troubleshoot support requests, and coordinate the enhancements of features within TigerData. Working in the Advanced Systems and Storage Management team in Research Computing, you will partner with technical staff, the Library, and the Office of the Dean for Research to establish best practices and provide timely and creative support for data management, storage, and retrieval using TigerData.

RSE Employment Opportunities

Do you have a background in computational research and love to write code? Are you interested in enabling groundbreaking experiments that will allow for more efficient and impactful uses of renewable sources of energy? If so, Princeton University's Research Computing department is recruiting a Research Software Engineer to join the rapidly growing Research Software Engineering group. 

  • Lead Research Software Engineer II #: 2024-18904
    To apply, visit Princeton University Careers and search for the Req. 2024-18904 under staff positions.

    The “Princeton Language and Intelligence” Initiative at Princeton University invites applications for a Lead Research Software Engineer. This multidisciplinary initiative has three Research thrusts: (a) Better design, evaluation, safety and understanding of large AI models (especially language models); (b) Applications of large AI models to many academic disciplines; and (c) Studying the impact of large AI models on society and the world. The Initiative will produce open-source software and models. 

    In this position, you will be a lead and integral member of dynamic research teams focused on building innovative and complete software solutions for cutting-edge AI research and making fundamental contributions to AI projects with Princeton’s world-class researchers. As a Lead RSE, you will oversee a team of Research Software Engineers working on varied engineering solutions associated with large AI models. You will bring your advanced technical knowledge and project management experience to raise the computational capability of the team and translate key PLI priorities into engineering solutions.