The Senior Research Software Engineer provides software and systems engineering support to NYU researchers. This position is key to leveraging the recent university investments in research computing infrastructure and services including a new state-of-the-art HPC cluster, a Big Data analytics cluster, a cluster dedicated to Artificial Intelligence projects, an investment to research cloud for bursting HPC jobs, and a dedicated High Speed Research Network. This position is involved in scoping, architecting, designing, building, and supporting research infrastructure and research computing projects, in alignment to AI, Cloud and HPC needs. The Senior Research Software Engineer works closely with NYU researchers to assist in collecting their computational requirements and implementing appropriate solutions. In addition, the position provides targeted consulting to faculty and research teams aimed at improving the competitiveness of extramural funding proposals. This role works closely with NYU IT teams to provide the input needed to align the operation and configuration of the recent infrastructure investments with the needs of research groups at the university.
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We demonstrate our core beliefs everyday in our interactions, attitude and performance.
People at the heart of everything we do: We listen to our clients, and colleagues, and use our expertise to anticipate and address their needs.
Create space to innovate: We challenge assumptions and seek out fresh perspectives and new ways of thinking to fuel our productivity.
Right promise. Right delivery: We set clear goals and priorities, and execute with speed and agility to deliver better results.
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Teams and partnerships work. Boundaries don’t: We collaborate to maximize the value we bring to NYU because our best ideas come from working together.
Insist on excellence: We take pride in what we do, strive to improve constantly and hold ourselves accountable for the results.
Master's Degree in Computer Science, Physics, Engineering, or related field or equivalent.
Doctoral Degree in Computer Science, Physics, Engineering, or related field or equivalent.
5+ years of experience working with software engineering, preferably in an academic or research environment. Programming experience in high-level languages such as Python and low-level languages such as C++ or Julia. Experience with databases, web frontend and backend components. Experience with software packaging and distribution (eg. on pypi). Fluency with git and GitHub. Experience with a wide range of computing environments such as cloud, HPC, spark/hadoop, and with GPUs. Excellent interpersonal communication, presentation and written and verbal communication skills, including documentation and customer support.
5+ years of work experience as a software engineer in an academic or research setting. Knowledge of CPU and GPU offerings, HPC offerings in public cloud providers (e.g. GCP). Experience with design, building and deploying containers (Docker, Singularity) in an HPC environment. A record of successes in programming, architecting, deploying and systems that are used or have produced concrete results. Experience working in an academic research environment.
Required Skills, Knowledge and Abilities:
Excellent programming and math skills. Proven expertise with the Linux OS and bash scripting. Drive to continually expand knowledge in the areas of new technological developments and trends. Ability to present technical concepts in a clear manner to researchers through demos, proposals and presentations. Experience with computational support for academic research.
Preferred Skills, Knowledge and Abilities:
Having a quantitative background (probability, statistics). Experience in a consulting, collaborative, or service-like role with researchers or clients. Experience with managing structured and unstructured data. Desire and ability to write content on relevant technical subjects for a blog, white paper, or as a contribution to a grant proposal.
NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/nyugreen.
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