• Data Infrastructure Developer II

    Requisition # 2019-10124
    Date Posted 10 months ago(4/4/2019 2:29 PM)
    Princeton Neuroscience Inst
    Research and Laboratory
    Full-Time / Part-Time
  • Overview


    The Seung Lab at Princeton University specializes in reconstructing the connections between neurons by analyzing electron microscopic brain images. The lab has received major funding from IARPA to reconstruct the connectome of a cubic millimeter of neocortex. This presents new engineering challenges as the volume is 1000x larger than existing reconstructions. This amounts to a petabyte of image data that must be stored and processed through our artificial intelligence (AI) pipeline and reviewed by human effort. The lab is looking for an infrastructure developer experienced in large scale data storage and data processing systems to help scale the lab’s existing pipeline for this petabyte challenge. 


    This is a 1 year term position with possibility of renewal based on satisfactory performance and continued funding.


    In addition to submitting your resume through this posting, please email your CV and a longish C++ code sample directly to Claire McKellar:  claireem@princeton.edu


    For more information, see







    Responsibilities include:

    • Scale machine learning algorithms and data access requirements
    • Architect storage and application backend systems
    • Develop and establish API’s for new backend systems
    • Migrating remaining data infrastructure to the cloud
    • Screen and evaluate candidates and mentor colleagues.


    Essential qualifications:


    • Bachelor's degree in Computer Science or a related field; or equivalent education/experience
    • Master level knowledge of at least one core programming language such as C++, Java, Python
    • Expert level knowledge of at least 2 other programming languages
    • Designed and deployed database solutions and large scale applications
    • Excellent proficiency in architecting large scale data processing pipelines
    • In-Depth knowledge of server administration / cloud orchestration
    • Strong Computer Science fundamentals such as algorithms and data structures
    • Strong desire to learn new technologies
    • Articulate and strong communication skills
    • 4-6 years professional experience

    Preferred qualifications:

    • Machine Learning / Deep Learning
    • Both AWS and Google Cloud
    • Front end development experience
    • Continuous Deployment / integration



    Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW

    Salary Grade

    AIT, 030

    Standard Weekly Hours


    Eligible for Overtime


    Benefits Eligible


    Essential Services Personnel (see policy for detail)


    Physical Capacity Exam Required


    Valid Driver's License Required



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