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_REQ197946
Job Description:
Lead High Performance Computing Engineer
Office of Information Technology
The Lead High Performance Computing Engineer is responsible for 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, deployment and management of parallel file systems, and maintaining system security. The Lead HPC Engineer is expected to occasionally debug and possibly rewrite low-level systems software, 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, occasional user support will be performed to assist in system-level application debugging/optimization.
Qualifications:
Education
- Bachelor’s degree preferred
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
Successful completion of a criminal background check 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:
2024-09-25
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:
Remote Eligible
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/AA 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, and caste, which is protected by our University policies.
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