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Data Infrastructure Developer

Princeton, New Jersey Princeton University

Employer Princeton University

Location Princeton, NJ

Posted Jul 19, 2018

Institution Type Four-Year Institution

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Requisition # 2017-7183
Department Princeton Neuroscience Inst
Category Information Technology
Full-Time / Part-Time Full-Time
Application Deadline


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 one year term position with the possibility of renewal based on performance and continued funding.

For more information, see






Please submit your application online and also email your CV and a longish C++ code sample directly to Prof. Sebastian Seung ********************


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
Migrate remaining data infrastructure to the cloud


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

Preferred qualifications:

Machine Learning / Deep Learning
Both AWS and Google Cloud
Front end development experience
Continuous Deployment / integration
The final candidate will be required to complete a background check successfully.

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)


Estimated Appointment End Date


Comments Related to End Date

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

Physical Capacity Exam Required


Valid Driver’s License Required


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Princeton University job offers are contingent upon the candidate’s successful completion of a background check, reference checks, and pre-employment screening, as applicable. The type and extent of background check, reference checks, and pre-employment screening may vary depending on the requirements and/or functions of the job and the candidate’s current employment status with Princeton University.

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