Senior Research Software Engineer

The Senior Research Software Engineer designs, develops, and maintains software and application solutions for NYU researchers and instructors. This position is key to leveraging the university investments in research computing and teaching infrastructure and services including a 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 infrastructure and computing projects, in alignment with AI, Research Cloud, and HPC needs. Partner closely with NYU researchers and instructors to assist in collecting their computational requirements and implementing appropriate software solutions. Provide targeted consulting to faculty and research teams aimed at improving the competitiveness of extramural funding proposals. Collaborate with NYU IT teams to provide the input needed to align the operation and configuration of the research infrastructure investments with the needs of researchers and instructors at the university.

Required Education:
Master's Degree in Computer Science, Physics, Engineering, or related field or equivalent work experience.

Preferred Education:
Doctoral Degree in Computer Science, Physics, Engineering, or related field or equivalent.

Required Experience:
5+ years of experience working with software engineering. Programming experience in high-level languages such as Python, Go, node.jsExperience 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, and HPC. Excellent interpersonal communication, presentation and written and verbal communication skills, including documentation and customer support.

Preferred Experience:
5+ years of work experience as a software engineer in an academic or research setting. Experience designing, building, and deploying containers or applications on kubernetes in public cloud providers (e.g. GCP). Experience with design, building and deploying containers (Docker, Singularity) in an HPC environment. Experience developing GenAI applications. 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 Kubernetes and DevOps/microservices development, CI/CD pipelines and with the Linux OS. 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, knowledge of batch schedulings, MLOps, and LLMOpsExperience 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.

In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is USD $110,000.00 to USD $130,000.00. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses, clinical compensation, or other items.

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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