Do you want to help enable and advance groundbreaking academic research? Do you have a background in research, writing code, and love to optimize code for advanced computing and storage systems? Do you want to support the use and development of research software in a centralized high-performance computing environment?
Princeton Research Computing, a consortium of campus groups led by the Princeton Institute for Computational Science & Engineering (PICSciE) and the Office of Information Technology’s Research Computing group, is recruiting a full-time research software performance tuning analyst to join its team.
In this position, you will be an integral member of the Researcher Engagement group as you collaborate with researchers from across multiple domains to accelerate active research code and workflows. This involves meeting with research groups to understand goals and current limitations, identify code or research workflow practices that are in need of tuning, profile the code or analyze the workflow, and identify bottlenecks. With the results of this process, you’ll work both independently and in partnership with researchers to develop new research workflows, new algorithms, improve parallelization and/or vectorization, and ultimately reduce the time to solution. In many cases, the performance improvements you make will enable researchers working on high-profile projects to produce new results or tackle larger problems. In doing this work, you will be responsible for monitoring, routing, and managing support requests submitted using our general support ticketing system, but with a particular focus on code or workflow improvement opportunities. You will work in close partnership with Research Computing and other IT colleagues, faculty, staff, and students to enable and accelerate their research computing efforts. This position reports to the Director of Researcher Engagement.
The Researcher Engagement group is committed to creating a collaborative environment in which researchers from all disciplines at any experience or skill level are supported by computational and data science expertise, where best practices are valued, and where sharing and applying cross-disciplinary techniques to new and emerging areas is prioritized.
Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. KNOW YOUR RIGHTS
Standard Weekly Hours36.25Eligible for OvertimeNoBenefits EligibleYesProbationary Period180 daysEssential Services Personnel (see policy for detail)NoPhysical Capacity Exam RequiredNoValid Driver’s License RequiredNo Experience LevelMid-Senior Level#Ll-DP