Job Description:

Research Software Engineer

Office of Information Technology

The mission of the Center for Computation and Visualization (CCV, ccv.brown.edu) is to provide the scientific and technical computing expertise required to advance computational research and support Brownâ™s academic mission. We envision an environment where computational best practices, innovative solutions, and expert knowledge combine to build advanced tools for research and to enable new discoveries. We are a team of data scientists and research software engineers with a wide range of scientific backgrounds (e.g., Engineering, Physics, Computer Vision, Biology, Psychology, Statistics, Applied Math, Computer Science, Software Engineering, Industry, etc.).

The Research Software Engineer (RSE) will join the HPC team in  the Advanced Research Computing group (ARC) within the Center for Computing and Visualization (http://ccv.brown.edu). Within the HPC team, The Research Software Engineer will provide the scientific and technical computing expertise required to advance research utilizing High Performance Computing (HPC) and support Brownâ™s academic mission. The RSE is responsible for keeping up-to-date knowledge and understanding of best practices needed to take full advantage of the Universityâ™s diverse set of HPC computing resources including the HPC cluster, GPUs and IT infrastructure. The RSe will conduct Scientific software Optimization for HPC applications, including performance tuning and benchmarking. This includes recommending algorithmic, software and hardware solutions, and designing, debugging and utilizing best practices in software engineering to deploy applications on Brownâ™s HPC computational resources at scale. A critical part of this position is to  ensure that complete documentation of all processes are created and maintained according to prevailing best practices. The Research Software Engineer is also responsible for helping users adopt best practices in software engineering and optimized solutions based on both, algorithmic and IT infrastructure standpoints. Other responsibilities include contributing to outreach activities such as workshops and technical presentations, providing support for software engineering and acting as a consultant for researchers. 

CCV embraces a community enriched and enhanced by diverse dimensions, including race, ethnicity and national origins, disability status, gender and gender identity, sexuality, class and religion. We believe diversity brings innovation and progress. We are especially committed to increasing the representation of those populations that have been historically underrepresented in STEM.  The RSE is expected to adhere to and embrace CCVâ™s commitment to diversity and inclusion initiatives.

Minimum Qualifications

The successful candidate, as a minimum, should have the following background:  

• Bachelor's degree with a minimum of 5 years of experience or equivalent education and experience

• An advanced science degree with strong computational emphasis (exceptional undergraduate work or experience may be an acceptable substitute)

• Advanced knowledge of Linux/UNIX systems and shell scripting and scheduling systems

• Strong programming skills with experience in parallel programming approaches

• Experience building, installing, optimizing and profiling open source software

• Strong debugging and troubleshooting skills

• Experience with distributed parallel computing architectures and software systems

• High professional standards with the ability to manage competing requirements in a diverse user population

• Excellent interpersonal, oral and written communication skills with strong analytical ability

• Knowledge of advanced numerical computing concepts

• Possesses a willingness and ability to support a diverse and inclusive environment.

Desirable Qualifications

Candidates with some or all of the following qualifications are highly preferred:

• A PhD degree with an emphasis on scientific computing is desirable

• Familiarity with HPC resources such as XSEDE and EXASCALE

• Experience with parallel programming models (e.g., use of OpenMP, MPI)

• Expertise with one more low level programming languages such as C, C++, Fortran

• Experience with GPU computing (e.g CUDA programming, tensorflow)

• Experience with MATLAB,  R, Python, Mathematica is desirable

• Experience with HPC administration or Previous HPC center support experience is desirable

• Experience with parallelization of serial computational applications

• Experience with cloud computing software and services

• Experience with scientific visualization in one or more science domains

• Mentoring experience and or Teaching experience, especially in research

• Experience in scientific disciplines specifically domain knowledge in the physical sciences is desirable

• Ability to work both independently and as a team member.

• Ability to manage multiple projects with competing priorities and deadlines, and an eagerness to take ownership of challenging and open-ended assignments.

Successful completion of a criminal background check and education verification is required.

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Submission Guidelines:

Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

Vaccination Requirements:

In order to maintain 90% or greater universal vaccination rates on campus, all newly hired employees at Brown University must receive the final dose of the COVID-19 vaccine before they begin work, unless they are approved for a medical or religious exemption. All employees must also receive a COVID-19 booster within thirty (30) days of becoming eligible. For more information, please visit the Healthy Brown site.

Still Have Questions?

If you have any questions you may contact employment@brown.edu.

EEO Statement:

Brown University is an E-Verify Employer.

Brown University is committed to fostering a diverse and inclusive academic global community; as an EEO/AA employer, Brown considers applicants for employment without regard to, and does not discriminate on the basis of, gender, sex, sexual orientation, gender identity, national origin, age, race, protected veteran status, disability, or any other legally protected status.