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.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. AWS, Google Cloud Platform). 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10414695
- Position Id: f640b0ec195700f3f1b7a853d2347c2c
- Posted 30+ days ago
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