Rutgers University

Lead Software Developer – GPU-accelerated Free Energy Simulation and Machine Learning Methods

Piscataway, NJ, USPosted 14 days ago

Job Description

Position Details

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Position Information Recruitment/Posting Title Lead Software Developer – GPU-accelerated Free Energy Simulation and Machine Learning Methods

Department

Quantitative Biomedicine Inst

Salary Details

$93,588 Minimum

Offer Information

The final salary offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.

Benefits

Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include: * Medical, prescription drug, and dental coverage * Paid vacation, holidays, and various leave programs * Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options * Employee and dependent educational benefits (when applicable) * Life insurance coverage * Employee discount programs

Posting Summary

The Laboratory for Biomolecular Simulation Research (http://lbsr.rutgers.edu) and Institute for Quantitative Biomedicine (https://iqb.rutgers.edu/) at Rutgers, the State University of New Jersey, is seeking a high-level software development scientist to create new modern free energy simulation and quantum mechanical/artificial intelligence tools. At Rutgers, the LBSR is directed by Professor Darrin York, and is dedicated to the development and application of innovative biomolecular simulation tools for enzyme design and drug discovery (https://theory.rutgers.edu/). The successful candidate will develop new GPU-accelerated software for alc...

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