Job Details

Lead High Performance Computing Engineer

Position Number: 6563957
Location: Providence, RI
Position Type: Computing - Network/System Administration

Lead High Performance Computing Engineer
Brown University

To view the full job posting and apply for this position, go to: https://brown.wd5.myworkdayjobs.com/en-US/staff-careers-brown/job/180-George-Street/Lead-High-Performance--Computing-Engineer_REQ203463

Job Description:

Lead High Performance Computing Engineer

Office of Information Technology

The Lead High Performance Computing Engineer is responsible for leading the HPC team that manages high-performance computing (HPC) cluster, storage, and networking infrastructure. This includes, but is not limited to the integration of HPC systems with Brown's overarching IT infrastructure, integration with storage infrastructure, and maintaining system security. The Lead HPC Engineer is expected to occasionally debug and possibly rewrite low-level systems software for optimization, evaluate software for potential acquisition, and work closely with vendors' support organizations to ensure timely resolution of problems and high availability of CCV production services. In addition, they will provide leadership to the team and be expected to run complex projects in support of the HPC environment. This position will participate in a 24/7 on-call rotation.

Qualifications:

Education

Bachelor's degree required

Required Experience

3 - 5 years of experience with Linux systems administration

Lead or supervisory experience

Familiarity and experience with many of the following:

Research computing environments
RHEL/CentOS Linux operating management experience
Problem resolution and troubleshooting skills; e.g. dump reading, traces, etc
Excellent interpersonal and communications skills (both oral and written)
Strong ability to multi-task and prioritize activities
Conceptual knowledge of all and in-depth knowledge of some of the following: systems architectures, security, networking, storage systems, parallel computing, batch/scheduling systems
Knowledge of programming languages such as C, C++, bash, Perl, etc.
Use of source control systems such as Git
Use of log correlation software such as Sumologic
Knowledge of large-scale research computing platforms such as Globus, HPC environments, SLURM, GPFS
Machine Learning Frameworks, including Tensorflow
Demonstrates a willingness and ability to support a diverse and inclusive environment.

Preferred Experience

GPFS, Lustre, or BeeGFS filesystem experience
basic knowledge of MPI programming and RDMA interconnects
Infiniband
SLURM

A successful completion of a criminal background and education verification is required.

Benefits of Working at Brown:

Information on the Benefits of Working at Brown can be found here.

Recruiting Start Date:

2025-07-28

Job Posting Title:
Lead High Performance Computing Engineer

Department:
Office of Information Technology

Grade:
Grade 11

Worker Type:
Employee

Worker Sub-Type:

Regular

Time Type:
Full time

Scheduled Weekly Hours:
37.5

Position Work Location:
Hybrid Eligible

Statement on Equity, Diversity and Inclusion:

All positions require demonstrated ability to work collaboratively with faculty, staff, students, and other Brown and community stakeholders with diverse perspectives and demonstrated ability to contribute to an inclusive environment.

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.

Still Have Questions?

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

EEO Statement:

Brown University is an E-Verify Employer.

As an EEO employer, Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person's race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law.