Senior Research Software Engineer

New York University; New York (NY); On-site; USD 149,000 - 169,000; Full time

Job summary

New York University is seeking a Senior Research Software Engineer to design and maintain software for its research and teaching needs. This position is crucial for leveraging technology investments, including a state-of-the-art HPC cluster and cloud resources. You will work closely with researchers and teams to gather requirements and implement software solutions.

The ideal candidate must hold a Master’s degree and have over five years of experience in software engineering. The role offers a competitive salary range of $149,000 to $169,000 annually.

Qualifications

• 5+ years of experience in software engineering.
• Experience with software packaging and distribution.
• Fluency with Git and GitHub.

Responsibilities

• Design, develop, and maintain software solutions for researchers.
• Provide consulting to faculty and research teams.
• Align research infrastructure investments with university needs.

Skills

Excellent programming and math skills

Expertise with Kubernetes

CI/CD pipelines

Linux OS

Interpersonal communication

Education

Master's Degree in Computer Science, Physics, Engineering, or related field

Doctoral Degree in Computer Science, Physics, Engineering, or related field

Tools

Python

Go

node.js

Git

GitHub

Job description

Position Summary

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, 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. The Senior Research Software Engineer works closely with NYU researchers and instructors to assist in collecting their computational requirements and implementing appropriate software 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 research infrastructure investments with the needs of researchers and instructors at the university.

Qualifications

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.js. 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, 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. AWS, GCP). Experience with designing, building, and deploying containers 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.

Preferred Skills, Knowledge and Abilities: Having a quantitative background, knowledge of batch schedulings, MLOps and LLMOps. 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.

Additional Information

In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is USD $149,000.00 to USD $169,000.00. 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.NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply at all levels.